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    15 April 2026, Volume 47 Issue 04
        
    • Fiber Materials
      Preparation and properties of anti-pilling polyester fibers
      GUO Chengzhi, LI Zhong, LIU Yongsheng, QIAO Xiaolan, ZHU Meifang
      Journal of Textile Research. 2026, 47(04):  1-8.  doi:10.13475/j.fzxb.20250900701
      Abstract ( 173 )   HTML ( 28 )   PDF (14552KB) ( 121 )   Save
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      Objective To maintain the appearance quality during service, this work aims to improve the pilling resistance of polyester (PET) fibers and further expand the application potential of PET fibers while promoting the textile industry toward a green, low-carbon, and sustainable development direction.

      Method Silicone powder and PET were melt-blended and extruded using a twin-screw extruder to prepare silicone-modified PET masterbatch. The modified PET fibers with varying silicone content were then prepared using a melt-spinning system. The rheology and melt flow rate of the modified and unmodified PET masterbatch, as well as the microstructure, chemical structure, breaking strength, pilling resistance, static and dynamic friction coefficients of the fiber samples, were thoroughly measured and discussed.

      Results The results showed that silicone powder was substantially uniformly distributed in the PET masterbatch without significant aggregation. Due to the excellent lubricating properties of the silicone powder and its uniform distribution in the PET matrix, the introduction of silicone powder improved the rheology and melt flow rate of the PET masterbatch, enhancing its processability. The addition of silicone powder did not affect the microstructure and chemical structure of the final modified PET fibers. Although the mechanical properties of the modified PET fibers slightly decreased when increasing of silicone powder content, the breaking strength of the 1.00% silicone powder-modified PET fibers was still 2.37 cN/dtex, which was less than one-fifth lower than that of pure PET fibers. With the increase of silicone powder content, the pilling resistance of modified PET fabrics showed a trend of increasing first, then decreasing, and further increasing. This was due to the synergistic effect of the lubricating function of the silicone powder and the mechanical properties of the modified PET fibers. When the silicone powder content was very low (0.25%), the mechanical properties of the modified PET fibers were nearly unchanged compared to pure PET. The small amount of silicone powder provided lubricating effects, making the modified PET fibers more resistant to breakage and pilling during the friction test. As a result, the pilling resistance reached grade 3-4, an improvement of 1 grade compared to pure PET, which had grade 2-3. When the silicone powder content increased to 0.50% and 0.75%, the fiber's mechanical properties slightly declined, resulting in a pilling resistance grade of 3 just 0-1 grade higher than pure PET. However, when the silicone powder content reached 1.00%, the lubricating function of the silicone powder became dominant, improving the lubrication during fiber friction. The fibers, which were subjected to force during testing, were less likely to entangle and break. As a result, the pilling resistance of the modified PET fabric increased significantly, reaching grade 4, which was 1-2 grades higher than pure PET. This is consistent with the lower friction coefficient of modified PET fibers. During the pilling test, the pure PET fabric showed noticeable pilling after 500 friction cycles, while the 1.00% silicone powder-modified PET fabric showed no significant pilling even after 7 000 cycles, only slight fuzzing.

      Conclusion By modifying the PET masterbatch by adding silicone powder, the processability of the PET masterbatch and the pilling resistance of PET fabrics were significantly enhanced, achieving a pilling resistance grade of 4. This excellent performance can improve the appearance quality of traditional PET fabrics during long-term use, further potentially expanding their application scenarios. At the same time, this modification method aligns with current PET fiber production processes. The silicone powder used is cost-effective, light-colored, and facilitates subsequent dyeing, finishing, and other processing techniques, making it highly suitable for industrial applications. This approach provides important guidance for the development of polymer fibers with wear and pilling resistance.

      Preparation and properties of poly(butylene succinate) pre-oriented yarn and drawn yarn
      LIN Qisong, DAI Junming, ZHA Quanliang, XU Tao, LÜ Wangyang
      Journal of Textile Research. 2026, 47(04):  9-16.  doi:10.13475/j.fzxb.20250705001
      Abstract ( 111 )   HTML ( 17 )   PDF (6257KB) ( 45 )   Save
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      Objective Biodegradable poly(butylene succinate) (PBS) fibers possess a wool-like handle, yet the suitable intrinsic viscosity range and corresponding melt-spinning parameters have not been thoroughly elucidated. This research aims to establish the relationship between PBS intrinsic viscosity and spinnability, and to evaluate the influence of intrinsic viscosity and draw ratio on the evolution of fiber aggregation state characteristics, specifically fiber orientation and crystalline structure.

      Method In this study, PBS partially oriented yarns (POY) were firstly prepared by melt spinning and using PBS with different intrinsic viscosities, and then the as-prepared POY was subjected to different multiples of thermal drawing to obtain drawn-twist (POY-DT). The influence of intrinsic viscosity and draw ratio on PBS fiber mechanical performance was subsequently studied, and the fiber orientation and crystalline structure were analysed by sound velocity measurement and X-Ray diffraction (XRD).

      Results The results demonstrated that high-viscosity PBS facilitates higher spinning speeds, but suffers significant viscosity reduction, for instance, PBS-4 had an intrinsic viscosity of 1.99 dL/g but showed a decrease of 0.51 dL/g due to the high melt spinning temperatures, leading to reduced fiber mechanical properties. It is worth noting that partially branched PBS with low-viscosity (1.53 dL/g) enabled high-speed spinning of POY at 2 700 m/min while maintaining a breaking strength of 1.74 cN/dtex, and it showed a faster crystallization rate than linear PBS, demonstrating that partial branching facilitated a balance between high melt strength and rapid crystallization rate in PBS. The tensile strength of POY was proportional to the spinning speed, exhibiting a near-linear relationship. Higher POY spinning speeds significantly enhanced the mechanical properties of the resulting POY-DT. When the POY spinning speed was lower than 2 000 m/min, the tensile strength of POY-DT with maximum draw ratio was only 1.41 cN/dtex; however, its tensile strength values could improve significantly from1.34 cN/dtex to 2.91 cN/dtex when the spinning speed increased from 1 500 m/min to 2 700 m/min. Moreover, as the orientation of PBS fibers increased with higher draw ratios, the orientation factor (fs) increased from 0.50 (POY) to 0.73 (POY-DT) with a 2.30 draw ratio. Fibers with higher intrinsic viscosity exhibited lower sonic velocity values, and low-viscosity PBS favored fiber orientation, whereas branching presented an adverse effect on it. Analysis of the crystalline structure evolution during fiber processing revealed that drawing would induce the fiber crystallization. During the spinning process, the grain size of (020) crystal plane was decreased from 15.00 nm to 10.80 nm, indicating that crystallite size underwent gradual refinement and the crystal structure progressively perfected. Meanwhile, the crystallinity increased from 48.09% in the undrawn as-spun fiber to 78. 91% after a 2.00 draw ratio.

      Conclusion This study investigated the spinnability of PBS with different intrinsic viscosities, discussed the variation of fiber mechanical properties with spinning speed and thermal draw ratio, and focuses on the evolution of the aggregation structure throughout the entire fiber formation process. The research clarified that the high-viscosity PBS could facilitate higher spinning speeds, however a significant viscosity reduction would occur in the meantime, which indicates that high-viscosity PBS was not needed when synthesis PBS fiber via melt spinning. Instead, partially branched PBS with lower viscosity show a promise prospect due to its high melt strength and rapid crystallization rate. POY spinning speeds has a significantly positive promotion on the mechanical properties of the POY-DT. The fiber aggregation state characteristics is affected by the PBS fiber intrinsic viscosity and draw ratio, which is, lower intrinsic viscosity brings a higher fiber orientation, and higher draw ratio brings a higher crystallinity. The findings provide a theoretical basis for raw material selection and spinning process optimization in the industrial production of PBS fibers.

      Development of regenerated wool keratin-based composite fibers with photothermal transformation
      ZHAO Meining, LI Bo, SUN Yanli, WU Hailiang, TIAN Shiyi
      Journal of Textile Research. 2026, 47(04):  17-25.  doi:10.13475/j.fzxb.20250705101
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      Objective This study aims to develop high-performance functional regenerated keratin-based composite fibers by incorporating MXene into keratin/polyamide 6 (PA6) blends, addressing the critical drawbacks of low utilization efficiency, poor mechanical properties, and single functionality of existing regenerated keratin materials. It further seeks high-value recycling of waste wool resources, responding to global demands for green sustainability and circular economy in the textile industry, where waste textiles are mostly landfilled or incinerated, causing resource waste and environmental pollution.

      Method Wool keratin was extracted via the reduction pretreatment-formic acid method using tris(2-carboxyethyl)phosphine hydrochloride as the reducing agent (80 ℃, 2 h reduction; 60 ℃, 5 h dissolution in 90% formic acid). Laboratory-synthesized MXene was compounded with keratin/PA6 (5: 5 mass ratio) spinning solution through wet spinning (30% ZnSO4 coagulation bath, 0.5% glutaraldehyde, 40 ℃ spinning temperature). Process parameters (MXene content: 0.1%-1.2%, temperature: 40-70 ℃, time: 1-4 h) were optimized, and materials were characterized by SEM, XPS, FT-IR, XRD, electronic single-fiber strength testing, and xenon lamp-induced photothermal evaluation.

      Results The optimal compounding conditions were confirmed as MXene mass fraction 0.6%, temperature 60 ℃, and time 3 h, which balanced MXene dispersion and keratin structural integrity. Consistent with MXene's intrinsic photothermal property reported in literatures, the composite fiber exhibited exceptional photothermal conversion performance. Infrared thermal imaging showed a temperature rise of 42.3 ℃ after 5 min of 1 000 W xenon lamp irradiation, while the MXene-free control only increased by 20.3 ℃. This efficiency surpassed many photothermal biopolymer composites due to MXene's conductive network accelerating photon-to-heat conversion. Mechanical tests demonstrated a breakthrough compared to conventional regenerated keratin fibers. Literatures show that most have breaking strength below 20 cN, but composite fiber generated in this research reached 40.44 cN, with elongation at break of 12.65%. This well outperforms the pure keratin/PA6 fiber (15.36 cN, 21.18%) and aligns with the β-sheet reinforcement mechanism reported in keratin fiber studies. SEM observations revealed MXene eliminated surface grooves and reduced internal pores at 0.6% content, forming a compact structure. However, MXene content >0.6% caused agglomeration, as seen in similar MXene/polymer systems. XPS analysis detected 0.12% Ti element, confirming successful MXene incorporation, with the composite retaining keratin's characteristic C, N, O, S elements. FT-IR spectra showed no shifts in amide A (3 282 cm-1) and amide I (1 640 cm-1) peaks, verifying physical bonding which avoid chemical modification that impairs keratin's biocompatibility. XRD results indicated MXene induced a 37% increase in keratin's β-sheet diffraction peak (20°), enhancing crystallinity from 18.2% to 29.1%, which directly contributed to mechanical improvement. Compounding at above 70 ℃ led to keratin hydrolysis (observed via reduced amide peaks), while time longer than 3 h caused uneven MXene dispersion, both resulting in performance degradation.

      Conclusion MXene effectively endows keratin/PA6 fibers with superior photothermal conversion while enhancing mechanical properties and structural uniformity through physical compounding, addressing key limitations of regenerated keratin materials highlighted in literatures. This study provides a feasible technical approach for high-value waste wool utilization, leveraging MXene's photothermal advantages and keratin/PA6 blend biocompatibility. The composite fibers hold broad applications in functional textiles (e.g., thermal management fabrics), biomass materials, and medical thermotherapy patches. The optimized process offers strong industrial potential, contributing to resource conservation and the textile industry's green transition.

      Preparation and properties of quaternized modified nanocellulose/poly(vinyl alcohol) aerogel dressings
      CHEN Li, QIU Hong, WANG Lifang, YI Shan, TANG Yika, GAO Hongguo, WANG Meiying, LIU Lifang
      Journal of Textile Research. 2026, 47(04):  26-33.  doi:10.13475/j.fzxb.20250905601
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      Objective The primary objective of this research was to conceptualize, design, and fabricate a novel antibacterial wound dressing engineered to integrate multiple critical functionalities essential for modern wound management. These include superior exudate absorption, adequate air and moisture vapor permeability (breathability), significant mechanical durability under stress, and sustained, broad-spectrum antimicrobial efficacy. Driven by the escalating challenges of wound infections and the limitations of conventional passive dressings, this work addresses the pressing clinical demand for intelligent, multifunctional biomaterials that can actively combat microbial colonization while concurrently fostering a moist, protective, and pro-healing environment. To achieve this, the study specifically investigates the development and characterization of a lightweight, elastic composite aerogel. This advanced material is synthesized through the synergistic combination of cationically modified nanofibrillated cellulose (EP-CNF), which provides inherent antimicrobial activity and structural reinforcement, with poly(vinyl alcohol) (PVA), contributing to enhanced flexibility and gel-forming properties. The innovative fabrication process yields a three-dimensional network structure characterized by ultra-high porosity, interconnecting pores, and remarkable flexibility. This unique architecture is fundamentally designed to not only manage wound fluids effectively and allow gaseous exchange but also to serve as a protective barrier and a potential carrier for therapeutic agents. Consequently, the developed EP-CNF/PVA composite aerogel demonstrates exceptional potential as a high-performance, multifunctional platform for next-generation advanced wound care applications.

      Method In this study, nanofibrillated cellulose (CNF) was first subjected to cationic modification using 2,3-epoxypropyltrimethylammonium chloride (EPTMAC) to graft quaternary ammonium groups onto its polymeric chains, yielding cationically functionalized CNF (designated as EP-CNF). Subsequently, EP-CNF was blended with poly(vinyl alcohol) (PVA) at systematically varied volume ratios through a solution-based mixing process to achieve homogeneous dispersion and interfacial integration between the two components. The resulting mixtures were then processed using a unidirectional freezing technique, followed by freeze-drying, to fabricate lightweight and hierarchical porous EP-CNF/PVA composite aerogels. The three-dimensional network structure, formed under controlled freezing conditions, endowed the aerogels with aligned porosity and structural integrity. The aerogels were comprehensively characterized in terms of their microstructure, physical properties, liquid absorption capacity, air permeability, mechanical performance under compressive stress, and antibacterial activity against common wound pathogens. Special emphasis was placed on understanding how the volume ratio of EP-CNF to PVA influenced the material's functional performance, thereby evaluating their suitability as advanced wound dressing materials with tunable properties.

      Results The composite aerogels exhibited an interconnected three-dimensional porous network structure. The sample with an EP-CNF to PVA mass ratio of 5∶5 showed optimal comprehensive performance, with a porosity of 90.17%, water absorption capacity of 991.15% of its own weight, water vapor transmission rate of 2 337.21 g/(m2·d), and compressive stiffness of 97.45 kPa. These properties indicate excellent liquid uptake, moisture permeability, and mechanical resilience suitable for wound dressing applications. Moreover, the material demonstrated significant antibacterial activity against both Staphylococcus aureus and Escherichia coli, with inhibition rates of 99.53% and 88.54%, respectively.

      Conclusion The EP-CNF/PVA composite aerogel developed in this study successfully integrates several critical wound-dressing properties—including high porosity, outstanding liquid absorption capacity, favorable breathability, mechanical robustness, and efficient antibacterial performance—into a single, lightweight material system. Structural and functional analyses confirm that the cationic modification of cellulose via quaternary ammonium groups plays a decisive role in imparting strong and sustained antimicrobial activity against both Gram-positive and Gram-negative bacteria. Concurrently, the directional freezing process effectively creates an aligned, hierarchical pore structure, which not only enhances mechanical resilience under compression but also facilitates rapid fluid uptake and uniform vapor transmission, thereby maintaining a moist yet breathable wound microenvironment. The synergistic combination of these engineered features positions this aerogel as a highly promising candidate for advanced wound care applications. To translate this potential into clinically viable solutions, further comprehensive investigations are essential. Future work should systematically evaluate in vivo biocompatibility, biodegradation behavior, and the material's direct influence on wound healing dynamics, such as epithelial regeneration and inflammatory response.

      Preparation of multifunctional asymmetric structural nanofiber membranes and its antibacterial and antioxidant properties
      ZHANG Zhe, CHEN Zhuoming, LI Fan, SONG Wenya, QIN Siyu, HOU Jindong, YU Yijie
      Journal of Textile Research. 2026, 47(04):  34-42.  doi:10.13475/j.fzxb.20250705501
      Abstract ( 65 )   HTML ( 7 )   PDF (14660KB) ( 21 )   Save
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      Objective The effective management of wound exudate, provision of sustained antibacterial and anti-inflammatory effects, and maintenance of lightweight breathability and moisture balance remain critical challenges in the development of advanced wound dressings. Existing multifunctional dressings often suffer from limitations such as inefficient unidirectional moisture transport, inadequate antibacterial durability, or complex preparation processes. This study aims to fabricate a Janus-structured nanofiber membrane that integrates superior unidirectional moisture-wicking capability, broad-spectrum antibacterial activity, and high antioxidant performance, addressing the aforementioned drawbacks for potential applications in wound care.

      Method The PPT-PZ Janus membrane was fabricated via two-step electrospinning. First, a hydrophilic PAN/PVP/THY (PPT) layer was prepared from a DMF solution (1.2 g PAN, 0.5 g PVP, 1.0 g THY) at 20 kV, 20 cm distance, 0.003 5 mm/s feeding rate, 100 r/min drum speed, for 2 h. Then, a hydrophobic PLA/ZnO (PZ) layer was electrospun onto PPT from an HFIP solution (1.4 g PLA, 0.3 g ZnO) at 16 kV for 25 min (other parameters matched PPT). Single-layer PPT and PZ membranes served as controls. Evaluations included SEM, FTIR, contact angle, water absorption, DPPH, and antibacterial tests against E. coli (ATCC 25922) and S. aureus (ATCC 6538).

      Results SEM observations revealed distinct morphological differences between the two layers of the PPT-PZ membrane. The hydrophilic PPT layer exhibited finer fibers with an average diameter of 0.62 μm, while the hydrophobic PZ layer showed coarser fibers with an average diameter of 1.29 μm, forming a gradient pore structure across the membrane thickness that enhances directional liquid transport. Cross-sectional images confirmed a clear layered interface between the PPT and PZ layers, ensuring structural integrity without interlayer detachment. FTIR analysis verified the successful incorporation of THY (a natural antioxidant with phenolic groups) into the PPT layer (via characteristic peaks at 806 cm-1 and 2 959 cm-1, corresponding to benzene ring vibrations and alkyl chain stretches) and the effective combination of ZnO with PLA in the PZ layer (via attenuated peaks at 1 750 cm-1 and 1 181 cm-1, indicating interactions between PLA's ester groups and ZnO nanoparticles). Dynamic contact angle tests demonstrated excellent unidirectional moisture transport: when the hydrophilic layer faced upward, water droplets were completely absorbed within 8 s. When the hydrophobic layer faced upward, initial hydrophobic behavior (similar to the single-layer PZ membrane) transitioned to full absorption within 8 s, confirming controlled directional water movement. The PPT-PZ membrane achieved a high water absorption rate of 2 776% and an equilibrium water content of 95%, indicating its ability to manage large volumes of wound exudate effectively while maintaining a moist microenvironment conducive to healing. Antioxidant tests showed that the PPT-PZ membrane exhibited a DPPH radical scavenging rate of 86.5%, significantly higher than that of the single-layer PZ membrane (40.0%), attributed to the synergistic effect between THY and ZnO nanoparticles (which enhance radical capture via surface defects). Antibacterial assays demonstrated that the PPT-PZ membrane exerted a 99.99% inhibition rate against both E. coli and S. aureus, outperforming the single-layer PPT (99.99% against S. aureus and 100% against E. coli) and PZ (99.77% against E. coli) membranes. This enhanced antibacterial activity was attributed to the "membrane damage-ion penetration-oxidative stress" mechanism, where THY disrupted bacterial cell membranes, facilitating ZnO-derived Znion penetration and reactive oxygen species (ROS) generation to induce oxidative stress, collectively inhibiting bacterial growth.

      Conclusion The Janus-structured PPT-PZ nanofiber membrane, fabricated via a simple two-step electrospinning process, successfully integrated multiple key functions required for advanced wound dressings. Its gradient fiber structure enabled efficient unidirectional moisture transport, preventing exudate reflux while maintaining wound moistness. The synergistic interaction between THY and ZnO endowed the membrane with both high antioxidant activity (86.5% DPPH scavenging) and broad-spectrum antibacterial efficacy (99.99% inhibition against common pathogens). These properties, combined with its favorable breathability (26.70 mm/s) and simple preparation process, made it a promising candidate for multifunctional wound care applications, addressing critical limitations of existing dressings.

      Preparation and properties of bio-based polyamide 56 nanofiber membranes containing nitric oxide donor
      YANG Hongjie, XU Liya, WANG Wei
      Journal of Textile Research. 2026, 47(04):  43-51.  doi:10.13475/j.fzxb.20250705701
      Abstract ( 56 )   HTML ( 6 )   PDF (12731KB) ( 13 )   Save
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      Objective Bio-based polyamide (PA) polymers have emerged as sustainable alternatives to petroleum-based counterparts, which have attracted significant attention in recent years. Among these, polyamide 56 (PA56) is polymerized from adipic acid and 1,5-pentanediamine, the latter of which can be commercially produced through biological fermentation. This particular PA holds significant potential in textiles, food packaging, engineering plastic and other fields, owing to its high-temperature and chemical resistance, excellent toughness and easy processability. Despite its promising prospects, limited studies have been given to the development of PA56 for functional biomaterials. In this study, we prepared S-nitrosoglutathione (GSNO), a nitric oxide (NO) donor, and encapsulated it within PA56 nanofibers using coaxial electrospinning. This work presents a novel strategy for engineering functionalized PA56 biomaterials with controlled NO release capabilities.

      Method GSNO was synthesized using glutathione as the precursor and sodium nitrite as a nitrosylating reagent. GSNO was loaded into PA56 nanofibers via coaxial electrospinning with PA56 as the shell, and a blend of GSNO and polyvinyl pyrrolidone (PVP) as the core. The minimum inhibitory concentration (MIC) values of GSNO were determined using the broth microdilution method. The morphology of PA56/PVP coaxial nanofiber loaded with GSNO was characterized with transmission electron microscopy (TEM) and scanning electron microscopy (SEM). The NO release, mechanical and wettability properties of PA56/PVP coaxial nanofiber membranes were investigated. Furthermore, the antibacterial activity and skin stimulation were analyzed.

      Results The MIC values of GSNO against Escherichia coli and Staphylococcus aureus were 10.51-21.02 μg/L, comparable to those of antibacterial agents such as oxytetracycline, florfenicol and canthin-6-one. The PA56/PVP coaxial nanofibers loaded with GSNO exhibited a core-shell structure, although no distinct interface was observed between the core and shell layers. This structural feature was attributed to the penetration of core PVP into the shell PA56. The fibers displayed uniform morphology and smooth surfaces, albeit with a minor occurrence of stripped PA56 nanofibers from the core, likely due to differences in the viscosity and volatilization rate between the core and shell solutions. The average diameter of PA56/PVP coaxial nanofibers increased with GSNO loading because of the increased viscosity and concentration of the core solution. When GSNO loading was 9%, the average diameter of PA56/PVP coaxial nanofibers became 942.70 nm, which is 198% of the average diameter of the blank PA56/PVP nanofibers (475.94 nm). The blank PA56/PVP coaxial nanofiber membranes presented an ultimate tensile strength of 5.57 MPa, which rose to 13.51 MPa with 9% GSNO loading. This enhancement is likely due to the formation of hydrogen bonds between the hydroxyl and amino groups of GSNO and the carbonyl groups of PVP. The surface water contact angle (WCA) of blank PA56/PVP coaxial nanofiber membranes was about 50.95°, with complete wetting occurring within 2.14 s. The WCA and complete wetting time of PA56/PVP coaxial nanofiber membranes increased with GSNO loading. The NO release from the PA56/PVP coaxial nanofiber membranes was evaluated using the Griess method. The sustained release times for membranes loaded with 3%, 6%, and 9% GSNO were 132 h, 140 h, and 168 h, respectively. Using a standard plate counting method, both Escherichia coli and Staphylococcus aureus in PA56/PVP coaxial nanofiber membranes loaded with GSNO showed lower viability than those in the PA56/PVP and blank groups, where bacterial colonies proliferate extensively. Increasing GSNO loading in the membranes significantly enhanced their antibacterial capability. The antibacterial rates were 60.20% for Escherichia coli and 79.38% for Staphylococcus aureus at 3% GSNO loading, 84.54% and 92.18% at 6% loading, and nearly 100% at 9% loading. For the potential skin inflammation, no evidence of erythema, edema or other changes was found on the skin surface after patch application for 24 h. Histological examination revealed no significant local inflammation or adverse events in the viable epidermis and dermis, indicating that the GSNO-loaded PA56/PVP coaxial nanofiber meshes are well-tolerated by the skin.

      Conclusion GSNO was prepared as NO donor and loaded into PA56 nanofibers via coaxial electrospinning. The MIC values of GSNO are 31.25-62.5 μmol/L (10.51-21.02 μg/L). The PA56/PVP coaxial nanofibers loaded with GSNO have round cross-section and core-shell structure, albeit with a minor occurrence of stripped PA56 nanofibers from the core. With the increase of GSNO loading, the average diameter of PA56/PVP coaxial nanofibers and the tensile strength of the membranes increase, while the hydrophilicity of the membranes decreases. The PA56/PVP coaxial nanofiber membranes have sustained release profiles. The sustained release time for membranes loaded with 3%, 6% and 9% GSNO can reach 132 h, 140 h and 168 h, respectively. The antibacterial rates of PA56/PVP coaxial nanofiber membranes loaded with 6% GSNO against Staphylococcus aureus and Escherichia coli are 92.18% and 84.54% respectively. The PA56/PVP coaxial nanofiber membranes loaded with GSNO also have good skin tolerability, which offers a great potential in functional biomaterials, especially in medical dressings.

      Preparation and advanced oxidative degradation applications of polystyrene/ZIF-67 nanofibers
      GUO Zheng, ZHANG Hekai, SONG Yunfei, ZHU Yilei, LI Jiaying, ZHENG Jiayue, WANG Minghuan
      Journal of Textile Research. 2026, 47(04):  52-60.  doi:10.13475/j.fzxb.20251001901
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      Objective Toxic and persistent organic pollutants (e.g., methylene blue, MB) in water pose a severe threat to ecological safety and human health, and the efficient degradation of such pollutants has long been a tough challenge. To address this issue as well as the drawbacks of poor stability and low recyclability associated with single-phase catalysts, this study aims to fabricate polystyrene(PS)/ZIF-67 nanofiber composites. The catalytic performance of these composites in degrading MB through a peroxymonosulfate-based advanced oxidation system will be systematically evaluated, thereby providing a novel and practical material strategy for organic water pollution control.

      Method Using PS powder and ZIF-67 precursor as raw materials, PS/ZIF-67 composite nanofibers were prepared via two steps, i.e., electrospinning of PS fiber (18 kV, 15 cm collector distance, 1.0 mL/h injection rate) and PS fiber post-treatment for in-situ ZIF-67 growth. The fabricated materials were comprehensively characterized by SEM, FT-IR, TG, XRD, and N2 adsorption-desorption (morphology, structure, thermal stability), and their dye-degradation performance (e.g., methylene blue) in PMS system was tested under varied conditions (catalyst/PMS dosage, pH, temperature).

      Results ZIF-67 cubic crystals were uniformly loaded onto the surface of polystyrene fibers via in-situ growth, successfully forming PS/ZIF-67 composite materials with a well-defined core-shell structure. Comprehensive characterizations, including N2 adsorption-desorption, XRD, and TG, revealed that the composite possessed a specific surface area of 7.53 m2/g and an average pore diameter of 28.07 nm, presenting a typical mesoporous structure. This porous feature facilitates the diffusion of reactants (e.g., methylene blue, MB) and the exposure of active sites, laying a structural foundation for efficient catalysis. Compared with pure PS fibers, PS/ZIF-67 fibers exhibited significantly enhanced thermal stability with a weight loss rate reduced by about 30% at 400 - 600 ℃, as determined by TG analysis, which prevents structural collapse during catalytic reactions and ensures long-term operational reliability. Under the optimized reaction conditions (0.03 g catalyst dosage, 0.05 g peroxymonosulfate (PMS) dosage, neutral pH=7, and ambient temperature of 25 ℃), the degradation rate constant of 50 mg/L MB reached 0.189 min-1, and the degradation efficiency exceeded 89% within 30 min, outperforming many reported MOF-based composites in similar systems. The composite also exhibited broad potential applicability. It could effectively degrade other typical pollutants, such as methyl orange (a cationic dye, about 76% degradation in 30 min) and tetracycline (an antibiotic, about 68% degradation in 30 min), demonstrating its potential for multi-pollutant water treatment. The composite maintained good cyclic stability, where after 5 consecutive catalytic cycles (each involving centrifugation, washing with deionized water, and drying at 60 ℃), its MB degradation efficiency still remained over 80%, indicating minimal loss of active sites. Kinetic analysis further confirmed that the MB degradation process followed pseudo-first-order kinetics (R2 > 0.99), suggesting a consistent reaction pathway dominated by either radical oxidation or electron transfer. Additional parameter-dependent studies showed that lower initial MB concentrations (≤50 mg/L), appropriate PMS dosage (0.05 g, to avoid excessive radical quenching), and neutral pH (pH=7, optimizing catalyst surface charge) were more conducive to improving the catalytic efficiency of PS/ZIF-67.

      Conclusion In this study, PS/ZIF-67 nanofiber composites, integrating PS's fibrous framework and ZIF-67's cubic phase, exhibit typical mesoporous structure (specific surface area= 7.53 m2/g, pore diameter = 28.07 nm), enhanced thermal stability, excellent MB degradation (0.189 min-1, >89% in 30 min under optimal conditions), broad applicability to other pollutants, and good cyclic stability (>80% after 5 cycles) due to improved structural stability and retained active sites. This study supports MOFs-based composites for water decontamination, though coexisting ions in real water limit performance. Future research should explore interference mechanisms and optimize the material to boost anti-interference ability, promoting practical application.

      Preparation of nanocellulose/polyacrylonitrile composite membranes and inhibition of lithium dendrites
      HUO Yuchen, ZHANG Fan, ZHAI Yunyun, LIU Haiqing
      Journal of Textile Research. 2026, 47(04):  61-70.  doi:10.13475/j.fzxb.20250700401
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      Objective The performance and safety limitations of lithium-ion batteries, as well as the environmental concerns of commercial separators necessitates development of novel high-performance separators is crucial. Cellulose-based materials offer distinct advantages over other polymers, including low cost, eco-friendliness, and excellent electrolyte wettability, making them promising candidates for battery separators. Nanocellulose (NC) further boasts a high aspect ratio, large specific surface area, robust mechanical strength, and an entangled network structure. In this study, NC was applied to modify an electrospun polyacrylonitrile (PAN) nanofiber membrane, resulting in a high-performance NC/PAN composite separator.

      Method NC was synthesized via a chemical-mechanical method. PAN nanofibrous separators were fabricated by electrospinning technology. Subsequently, NC was deposited onto the PAN nanofibrous separators through spraying, followed by thermal pressing of the resulting NC/PAN composite separators. The surface morphology of NC was characterized using scanning electron microscopy and transmission electron microscopy. Its crystalline structure was investigated via X-ray diffraction, while its functional groups were analyzed using Fourier-transform infrared spectroscopy. Additionally, the separators were evaluated for their mechanical (e.g., tensile strength), thermal, and wetting properties (contact angle), as well as pore size distribution. Finally, the assembled batteries underwent comprehensive electrochemical performance tests, including ionic conductivity, lithium-ion transference number, cycling stability, and rate capability.

      Results Characterization showed that the NC/PAN composite separator had superior mechanical and electrochemical properties compared to Celgard and PAN separators. It featured a uniform pore size of 216 nm, which is smaller and more consistent than that of PAN (306 nm), and exhibited a markedly higher mechanical strength of 22.6 MPa versus 15.2 MPa for PAN. The reduced and uniform pore structure contributes to efficient electrolyte infiltration, while the enhanced mechanical strength effectively prevented lithium dendrite penetration and internal short circuits. The NC/PAN separator showed significantly greater thermostability than Celgard. Furthermore, the NC/PAN separator demonstrated exceptional electrolyte wettability with a contact angle of 19°, surpassing that of PAN (31°) and Celgard (54°). The incorporation of NC substantially improved the lithium-ion conductivity to 1.89 mS/cm and the Li+ transference number to 0.65. The Cu|Li asymmetric cell equipped with the NC/PAN separator maintained a high coulombic efficiency of 98% after 70 cycles at 1.0 mA/cm2, whereas cells with Celgard and PAN separators showed performance decay after only 45 and 53 cycles, respectively. Moreover, the Li|Li symmetric cell with the NC/PAN separator achieved stable cycling for 1 000 h at an ultra-low overpotential of 22 mV (1 mA/cm2), with less lithium dendrite growth observed post-cycling. In contrast, cells with Celgard and PAN separators experienced micro-short circuits after approximately 750 hours. The superior cycling stability is further evidenced in LiFePO4|Li full cells, where the NC/PAN-based cell retained over 90% of its initial capacity after 700 cycles at a 2C rate. This comprehensive performance enhancement is attributed to the uniform Li+ flux regulated by the NC/PAN separator, promoting homogeneous lithium deposition and effectively suppresses dendrite formation and growth.

      Conclusion This study employed a spraying method to deposit NC onto a PAN separator. The subsequent hydrogen bonding between NC and PAN nanofibers formed a robust cross-linked network, resulting in the successful fabrication of an NC/PAN composite separator. The NC coating markedly enhances the mechanical properties and electrolyte wettability of the separator while reducing the average pore size. As a result, the Li+ flux across the separator becomes more uniform. These improvements collectively promote homogeneous lithium deposition on the anode surface and effectively inhibit lithium dendrite growth. The findings underscore the considerable promise of bio-based nanocellulose and its derived materials for applications in next-generation energy technologies.

      Preparation of ultra-high temperature resistant Al2O3-based ceramic fibers and their forming mechanism
      LI Shouzhen, ZHA Tiantian, ZHOU Weitao, SI Yang
      Journal of Textile Research. 2026, 47(04):  71-79.  doi:10.13475/j.fzxb.20250804401
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      Objective Ceramic fibrous materials have the advantages of high temperature resistance, high strength, and excellent oxidation resistance, with wide applications in aerospace, new energy vehicles, oil-water separation and other fields. Due to the sudden increase in grain size and defects in Al2O3-based fibers materials at ultra-high temperatures, the brittleness of the fibers limited their use in extreme environments. In this research, ZrO2 is used as an inhibitor of Al2O3 crystal growth to slow down the crystal growth rate, aiming at the preparation of ultra-high temperature resistant Al2O3-based fibers through centrifugal spinning and calcination, providing new method for the development of ceramic fibers.

      Method Al2O3 precursor sols were prepared by sol-gel technology and Al2O3 precursor gel fibers were prepared by centrifugal spinning, and the viscosity of spinning solution was adjusted by adding polymer. Clear and transparent Al2O3 precursor sols were prepared from organic Al salt, Al strong acid salt and solvent water, and then the formation mechanism of Al2O3-based fibers were studied. The Al2O3 gel fibers were obtained by drawing spinning solution using centrifugal force. The influence of spinning solutions on gel fibers and calcined fibers were analysed, indicating that the higher spinning solution temperature led to the better temperature resistance of the obtained fiber.

      Results Al2O3-based fibers were fabricated by sol-gel centrifugal spinning and calcination method, First, the formation mechanism of Al precursor sols was studied, with water playing the role of solvent, AIP and AlCl3·6H2O as the Al sources, CH2O7Zr2 as the Zr sources, PVP as the polymer to regulate the spinning solution viscosity. AIP was dissolved in aluminum chloride aqueous solution to form a homogeneous system, which avoids the application of organic solvents and reduces the production cost and reduces the pollution to the external environment. Then, the forming mechanism of Al2O3-based fibers, influence of spinning solution temperature on gel fibers and Al2O3-based fibers were discussed. The spinning fluid of Al2O3 precursor was thrown out fast by centrifugal force and rapidly formed in air. Al2O3 and ZrO2 precursor colloidal particles were rapidly hydrolyzed and condensed to form precursor sol fibers. The organic components in precursor gel fibers were removed by calcination to obtain Al2O3-based fibers. After calcination, the average diameter of gel fiber was reduced to as low as 1.88 μm. The changes in the crystal structure of Al2O3 during the calcination process were monitored using XRD, and the Al2O3-based fibers exhibited an amorphous microstructure below 1 000 ℃. The spinning fluid temperature was inversely proportional to the diameter, showing that the higher the temperature the smaller the diameter of gel fiber. The temperature of the spinning solution affected the particle composition of the fibers. It was found that higher temperature of the spinning fluid resulted in smaller particles that formed the fibers.

      Conclusion Al2O3-based fibers were fabricated by sol-gel method combined with centrifugal spinning and calcination technology, and the spinning fluid temperature and calcination temperature were optimized to prepare Al2O3-based fibers materials with smooth surface and fine grain size. The average diameter of the Al2O3-based fibers samples prepared was as low as 1.88 μm, indicating that Al2O3-based fibers were successfully prepared, and the fiber diameter was adjustable in the range of 1.88-20.40 μm. The Al2O3-based fibers exhibited excellent high temperature resistance. When the calcination temperature reached 1 300 ℃, the particles that formed the fibers were very small and could be used as thermal protection materials in aerospace, high-temperature filtration, and other fields.

      Preparation of camphor wood pre-hydrolysis kraft dissolving pulp
      LI Yuanjuan, ZHOU Hengshu, XU Yi, XIONG Haiying
      Journal of Textile Research. 2026, 47(04):  80-87.  doi:10.13475/j.fzxb.20250802501
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      Objective As a popular type of urban landscaping tree, camphor trees (cinnamomum camphora) generate substantial amounts of discarded trunks and branches annually. However, China has long relied on imports to meet its demand for high-grade dissolving pulp used in textile fiber production. To achieve value-added utilization of camphor wood resources and develop novel raw material sources for producing dissolving pulp, this study investigates the preparation process of camphor wood dissolving pulp using discarded trunks and branches as feedstock.

      Method The camphor wood dissolving pulp was prepared by the pre-hydrolysis kraft process. First, camphor wood chips were subjected to hot water pre-hydrolysis to remove most hemicellulose, with single factor experiments to investigate how different process conditions would affect the pre-hydrolysis. Subsequently, the pre-hydrolyzed wood chips underwent kraft cooking using NaOH and Na2S to eliminate lignin, and orthogonal experiments was employed to determine optimal cooking parameters. Finally, the obtained pulp was bleached through a four-stage elemental chlorine-free (ECF) bleaching sequence, whick are ClO2 bleaching (D1), alkali refining treatment (E), ClO2 bleaching (D2), and H2O2 bleaching (P), to improve pulp quality. The prepared dissolving pulp was then tested for degree of polymerization, α-cellulose content, and brightness, while its surface morphology was examined by scanning electron microscopy.

      Results The hot water pre-hydrolysis process was found effective in removing a substantial portion of hemicellulose from camphor wood. The single-factor variable study revealed that the contents of pentosan and holocellulose exhibited non-monotonic trends with increasing pre-hydrolysis temperature or prolonged holding time, while variations in the solid-to-liquid ratio showed no significant effect on their contents. For the kraft cooking process, given the stringent requirements for dissolving pulp regarding degree of polymerization, α-cellulose content, and brightness, a comprehensive evaluation through orthogonal experimental analysis indicated the following order of parameter influence: alkali charge > sulfidity > holding time > cooking temperature. The optimal conditions were determined as 22% alkali charge, 25% sulfidity, and a holding time of 120 min at 160 ℃. Under these conditions, the resulting camphor wood pulp exhibited a polymerization degree of 1 035.85, an α-cellulose content of 90.63%, and a brightness of 21.35%. During ECF bleaching, the stepwise removal of lignin through the four-stage D1ED2P sequence increased the pulp brightness to 78.91%, while simultaneously elevating the α-cellulose content and reducing the polymerization degree. SEM observations indicated that the original camphor wood surface contained abundant tubular pores, facilitating the penetration of pre-hydrolysis and cooking liquors. After the pre-hydrolysis kraft treatment, complete fiber separation was achieved due to the extensive removal of lignin and hemicellulose. The liberated fibers displayed a flattened morphology with surface wrinkles and grooves.

      Conclusion Pre-hydrolysis effectively removes hemicellulose, with the contents of pentosan and holocellulose showing non-monotonic variations depending on pre-hydrolysis temperature and duration. Orthogonal experiments revealed that the influencing order of kraft cooking parameters was alkali charge > sulfidity > holding time > cooking temperature. The optimal conditions were determined as: 22% alkali charge, 25% sulfidity, 120 min holding time, and 160 ℃ cooking temperature. After four-stage ECF bleaching (D1ED2P sequence), the resulting dissolving pulp exhibited satisfactory properties, with 914.75 of polymerization degree, 94.17% α-cellulose content, 78.91% brightness, 0.42% ash content, and 10.62 mg/kg iron content, meeting essentially the requirements for regenerated cellulose fiber pulp. This indicates that camphor wood can serve as a high-quality raw material for producing dissolving pulp for spinning. However, further process optimization is necessary to enhance pulp brightness and reduce ash content. This study demonstrates a viable approach for the value-added utilization of camphor wood waste resources, with the prepared dissolving pulp satisfying the requirements for textile fiber applications and showing promising potential for industrial-scale implementation.

      Textile Engineering
      Unevenness and periodicity of ramie combed sliver
      JIANG Jiahao, CAO Qiaoli, ZHOU Yuyang, YU Chongwen
      Journal of Textile Research. 2026, 47(04):  88-95.  doi:10.13475/j.fzxb.20250707101
      Abstract ( 26 )   HTML ( 8 )   PDF (6883KB) ( 3 )   Save
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      Objective Combing is a key process in the ramie spinning system. However, the periodic unevenness in the combed web and sliver output by ramie combers not only severely restricts end product quality but also leads to an increase in the number of subsequent drawing passages, hindering improvements in production efficiency and cost control. Systematic research on this issue is of great significance for optimizing the combing process, realizing the integration of combing and drawing, and promoting the ramie spinning system towards higher production efficiency, better product quality, and lower cost.

      Method The influence of process parameters, such as feed length and drafting gauge, on the weight distribution of fiber clusters were explored. A mathematical model for fiber clusters lapping into a web was constructed, and MatLab software was used to simulate and generate weight distribution curves as well as calculate unevenness characteristic, so as to conduct in-depth analysis on the correlation between effective output length and web uniformity. The method combining theoretical derivation and actual testing was adopted to verify the periodic wavelength characteristics of combed sliver unevenness.

      Results Under the process condition where the effective output length of the comber was 6.7 cm, the study found that the feed length and drafting gauge have a significant impact on the weight distribution of fiber clusters and the uniformity of the web. Increasing the drafting gauge led to reduction of the length of fiber clusters and caused the overall weight distribution shifting toward the front end of the clusters, and increasing the feed length, on the other hand, resulted in length increase of fiber clusters, with weight distribution also shifting toward the front end. Further research indicated that when the feed length was fixed, increasing the drafting gauge would significantly improve the uniformity of the web, and similarly, with a fixed drafting gauge, increasing the feed length would also help to enhance the uniformity of the web. In particular, using a combination of 7.8 mm feed length and 49 mm drafting gauge was found effective to minimize the unevenness of the web.

      It was also found in the study that the unevenness of the web was jointly affected by the weight distribution of fiber clusters and the effective output length. There were significant differences in the uniformity of the combed web under different effective output lengths. When the effective output length was approximately one-third of the length of the fiber clusters, the uniformity of the web remained at a relatively optimal level. However, it was necessary to combine the coordinated adjustment of the feed length and the drafting gauge to approach the theoretical optimal uniformity. In addition, both theoretical derivation and experimental verification confirmed that the periodic wavelength of the combed sliver unevenness was equal to the ratio of the delivery roller speed to the comber speed, with a maximum deviation of less than 0.6%. The above results clearly indicate the correlation characteristics between various process parameters and the unevenness of the web, as well as the internal connections and influence laws of periodic unevenness.

      Conclusion This study clarifies the influence mechanism of combing process parameters, such as feed length and drafting gauge, on the weight distribution of fiber clusters and the unevenness of combed web, reveals the quantitative correlation between effective output length and the unevenness of combed web, and meanwhile elaborates the relationship between the periodic wavelength of combed sliver unevenness and the delivery roller speed as well as the comber speed. The research results provide reliable theoretical support for the accurate prediction and efficient regulation of the unevenness of combed web and combed sliver.

      Preparation of polyurethane/carbon black conductive plied yarn and its strain sensing performance
      WU Xinyuan, DONG Zijing, WANG Ruixia, YAN Ziyue, SUN Tingwen, HU Ye, WU Yingnan, SUN Runjun
      Journal of Textile Research. 2026, 47(04):  96-103.  doi:10.13475/j.fzxb.20250401801
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      Objective To investigate the influence of ply number on the strain sensing properties of conductive yarns, evaluate their effectiveness for human motion monitoring, and explore the feasibility of their integration into textile structures through weaving, this work aims to develop textile-based flexible strain sensors with a balance of high sensitivity and reliable mechanical performance for wearable applications.

      Method Conductive yarns were fabricated using polyurethane (PU) film as the flexible substrate and carbon black (CB) as the conductive material. A spraying method was employed to coat the PU film with CB. The coated films were cut into strips, twisted with a Z-twist direction at a density of 30 twists per meter, and then plied to create yarns with different ply counts (designated as PU/CB-1C for single-ply, PU/CB-2C for two-ply, PU/CB-3C for three-ply, and PU/CB-4C for four-ply). The mass fraction of CB dispersion was kept constant at 50%. The surface morphology and chemical structure of the samples were characterized using scanning electron microscopy (SEM), optical microscopy, and Fourier transform infrared spectroscopy (FT-IR). The mechanical properties and electromechanical sensing performance were tested using an electronic fabric strength tester coupled with a digital source meter. Key sensing metrics, including the gauge factor (SGF, sensitivity) and resistance change rate, were measured. Furthermore, the optimal yarn (PU/CB-3C) was woven as the warp into a plain weave fabric using an elastic spandex yarn as the weft to create a textile-integrated sensor. The practical application was demonstrated by attaching the PU/CB-3C sensor to a human elbow and fingers to monitor bending motions.

      Results The three-ply yarn (PU/CB-3C) exhibited the optimal overall sensing performance among the plied yarns. It achieved a maximum resistance change rate of 1 704% and a gauge factor of 8.9 within a 200% strain range, while also demonstrating good mechanical stability. In contrast, the four-ply yarn (PU/CB-4C) showed a decline in sensing performance due to reduced geometric deformation and potential interfacial slip within the thicker structure. The PU/CB-3C sensor maintained stable responsiveness across different stretching frequencies and stepwise strains, and showed only minimal signal drift over 200 stretching cycles at 15% strain, indicating good durability. When woven into a plain weave fabric as the warp yarn, the textile sensor retained a resistance change rate of 285% and a gauge factor of 6.2 within a 120% strain range, confirming successful textile integration. In practical tests, the PU/CB-3C sensor reliably detected and differentiated large-strain motions (elbow bending to 90°) and small-strain, fine motions (finger bending at 0°, 45°, 60°, and 90°) with clear and repeatable resistance change signals.

      Conclusion The ply number significantly affects the performance of PU/CB conductive yarns. A three-ply structure offers an optimal balance, enhancing the stability of the conductive network and mechanical robustness compared to single-ply yarn, while avoiding the performance degradation observed in over-plied structures. The selected PU/CB-3C yarn is effective for monitoring diverse human joint movements. More importantly, it can be successfully integrated into a woven fabric structure, resulting in a functional textile strain sensor. This work demonstrates a viable pathway from material preparation to textile integration for developing wearable sensors, providing an experimental basis for applications in smart garments and health monitoring textiles.

      Visual numerical simulation and analysis of yarn formation process in rotor spinning
      ZHOU Zhengyu, YANG Ruihua
      Journal of Textile Research. 2026, 47(04):  104-112.  doi:10.13475/j.fzxb.20250503001
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      Objective Optimization of rotor spinning technology has long relied on traditional means of high-speed photographic observation and experimental testing. However, this means can not provide fiber or flow field data during the spinning process. This is not conducive to the understanding of the yarn formation mechanism, and is very costly in terms of manpower, material and financial resources. This paper report a study on development of numerical simulation technology which provides a new path for the study of the dynamic process of rotor spinning.

      Method The rotor spinner was modeled by 3-D modeling software SolidWorks 2024 and meshed by ICEM software. Using ANSYS Fluent 2024R1 software, the standard k-epsilon turbulence model and SIMPLE algorithm solution were selected to simulate the airflow field inside the spinner. The rod and chain fiber model was adopted and the airflow was imported into Rocky 2024 R1.1 software for simulation numerical simulation, where the fibers were defined as cotton with a length of 28 mm. Based on the numerical modeling framework of multiphase flow coupled with computational fluid dynamics and discrete element method, the yarn formation process of 73 tex rotor-spun cotton yarn at rotor speed of 60 000 r/min and negative pressure of 5 000 Pa was simulated.

      Results The simulation of multiple fibers coalescing, twisting and yarn formation in the rotor and leading out of the rotor was ahieved, revealing the three-dimensional movement of fibers in the rotor. The surface characteristics of the simulated yarn were highly consistent with the actual yarn condition. The arrangement structure of fibers, the twist transfer process, the formation process of wrapped fibers and the yarn splice status were made clearly visible. For setting up the simulation, the rotor spinning process was divided into three stages, i.e., preparation, yarn settling, and yarn piecing. During the preparation stage, the simulation indicated that the fibers migrated into the rotor's condensing groove, where the average normal contact force built up 5.3 times faster than the tangential contact force, building fiber reserves for subsequent yarn formation. In the yarn settling stage, the wrapping length between fibers and the seed yarn grew from 0% to 68.2%, accompanied by a sharp rise in entanglement density. Such simulation results enhances the understanding of yarn splice section formation. During yarn piecing simulations, the contact force fiber-seed yarn surpassed the condensing groove's frictional resistance, meeting the pre-stripping conditions required for continuous yarn separation and production.

      Conclusion A coupled modeling approach based on Computational Fluid Dynamics (CFD) and Discrete Element Method(DEM) was adopted in this research. Through the co-simulation platform of Rocky DEM and ANSYS Fluent, the dynamic mechanism of rotor spinning fiber transport, coalescence and twist formation is explored. The simulation enables the observation of the fiber arrangement structure, twist transfer process, winding fiber formation process and yarn splice status. The generation of contact forces is directly related to rotor spinning dynamics. Compared to straight fibers, hooked fibers significantly enhance the mechanical interaction between the seed yarn and the fibers, improving the strength of the joint. It is easier to form multi-point contact with the coalescing groove, and the normal contact force accumulates faster and forms stable contact with the rotor coalescing groove first. The fiber speed change and force situation were analyzed and discussed. The scientificity of the theory related to rotor spinning is effectively verified.

      Principle of compact covering technology and its control effect on hairiness of staple yarn
      AO Limin, XU Haowen
      Journal of Textile Research. 2026, 47(04):  113-119.  doi:10.13475/j.fzxb.20250606401
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      Objective Hollow spindle covering technology, in which a staple yarn is covered with a filament yarn as the outer wrapping, can significantly reduce hairiness and inhibit hairiness regeneration of the staple fiber yarns. However, during the covering process, the movement of the core yarn and its surface hairiness cannot be effectively controlled, which limits further improvement of the hairiness reduction effect. In this paper, an improved design of the hollow spindle mechanism is proposed to strengthen the control over core yarn movement and surface hairiness, and the technical approach to further enhance the hairiness reduction effect of staple fiber/filament covered yarn is discussed.

      Method The key factors limiting the improvement of hairiness control effect of conventional covering technology were analyzed for staple fiber yarns. A compact covering hollow spindle mechanism was designed and manufactured to enhance the running stability of core yarn and the control of surface hairiness by extending the spindle rod of the hollow spindle mechanism, installing a tapered compact tube at its top with an outlet diameter matching the linear density of the core yarn, reducing the aperture of the converging guide hook to match the diameter of the composite yarn, and reasonably adjusting the distance between the compact tube and the converging guide hook. Using a HKV 141D hollow spindle covering machine, two series of conventional covered yarns and compact covered yarns with five levels of covering twist (300, 375, 500, 600, 750 twists/m) were produced, using worsted wool yarn as the core and polyamide filament as the out wrapping yarn and ramie yarn as core and polyester filament as the outer wrapping yarn. The hairiness characteristics of the samples were compared and analyzed.

      Results The hairiness test results of worsted yarn/polyamide filament covered yarns showed that the compact covered yarns with the same five covering twists could further reduce the 1-2 mm short hairiness index by 10.2%, 11.4%, 36.4%, 50.8%, and 66.5%, respectively, compared with the corresponding conventional covered yarns of the same covering twists, and for hairiness longer than 3 mm, the additional reduction rates are 19.8%, 42.1%, 75.9%, 90.8%, and 97.4%, respectively. The hairiness index test results of ramie yarn/polyester filament covered yarns indicated that compared with conventional covered yarns, compact covered yarns with the same five covering twists could further reduce the 1-2 mm short hairiness index by 13.0%, 42.4%, 50.5%, 58.7%, and 67.3%, respectively, and the hairiness index of 3 mm and above by 43.2%, 67.7%, 77.8%, 86.6%, and 93.4%, respectively.

      Conclusion Using an compact covering hollow spinning technology the control over the movement of the core yarn can be enhanced, and mechanical compact of core yarn hairiness can be achieved. This can further significantly reduce the hairiness of staple fiber yarns on the basis of conventional covering. Compared with ordinary covered spinning, compact covering presents a stronger synergistic effect with covering twist. Within the experimental twist range, the hairiness index decreases continuously and significantly with the increase of wrapping twist, while the effect of ordinary covered spinning in reducing hairiness is no longer significant when the covering twist level increases to a certain extent, compact covering exhibits better compact and binding effects on long hairiness. Compared with conventional covering, compact covering provides better control over long hairiness of 3 mm and above than short hairiness of 1-2 mm. Meanwhile, its hairiness control effect on ramie yarn with higher long hairiness content is superior to that on worsted yarn.

      Design and evaluation of anti-counterfeiting jacquard fabrics with unconventional dot structures
      ZHANG Aidan, LI Jie
      Journal of Textile Research. 2026, 47(04):  120-126.  doi:10.13475/j.fzxb.20250603401
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      Objective Aiming at the low hidden information volume, style singularity and over-reliance on functional yarns of existing anti-counterfeiting jacquard fabrics, a fabric design and corresponding information extraction method was proposed based on unconventional dot arrangement and combination. The method enables embedding of diverse information into complex jacquard patterns and achieves anti-counterfeiting information extraction from physical fabric images, providing design ideas and case references for the development of high-value anti-counterfeiting jacquard fabrics.

      Method Three unconventional dot types and their generation procedure were designed. Pairwise combinations of the three types converted the pattern and its anti-counterfeiting information image into dot patterns based on the original pattern grayscale to prepare anti-counterfeiting jacquard fabric samples. Scanned sample digital images were contrasted with fabric weave images generated with single dot shape and structural similarity and Hamming distance were used to evaluate information hiding and extraction effects respectively.

      Results By calculating the structural similarity between six anti-counterfeiting jacquard fabric images and three non-anti-counterfeiting jacquard fabric images as well as the corresponding fabric weave images, the results showed that the ranking of structural similarity, from highest to lowest, was Butterfly-Heart shape combination, Butterfly-Rabbit shape combination, and then Rabbit-Heart shape combination. Additionally, the interchange of dot shapes between information and non-information areas demonstrated no significant impact on the structural similarity of the fabric sample images and their weave images. The normalized Hamming distance calculation between the extracted information images from the six anti-counterfeiting jacquard fabric sample images and the original information image revealed that the Hamming distances for the two Butterfly-Heart combination designs were 0.46 and 0.44, respectively, while the other four designs have Hamming distances between 0.09 and 0.11. Furthermore, the impact of the template cutting step size and matching threshold parameters on the information extraction effect was shown. Among the three cutting step sizes, groups 1-4 of extracted information images with a step size of 16 and 8 had similar recognition rates, which were better than those with a step size of 32. However, the recognition rates for groups 5-6 of the three step sizes were not satisfactory. In terms of matching threshold values, the best matching threshold range for the four anti-counterfeiting fabric samples using the Butterfly-Rabbit combination and Rabbit-Heart combination was 0.60-0.62, while for the two samples using the Butterfly-Heart combination, the best matching threshold values were 0.70 and 0.73, respectively.

      Conclusion The experimental results were evaluated based on the similarity of the dot shapes used in anti-counterfeiting jacquard fabrics. It was found that the similarity of dot shapes is directly proportional to the information hiding effect and inversely proportional to the information extraction effect. Once the dot shape is determined, an appropriate matching threshold should be set first, followed by considering the template cutting step size. The higher the similarity of the dot shapes, the higher the template matching threshold needs to be set. Typically, the template cutting step size can be chosen as half the size of the dot shape unit. By utilizing the differences in dot shapes, this method can hide and extract complex information without affecting the gradient color pattern of the jacquard fabric. The design method of anti-counterfeiting jacquard fabric not only does not require any functional yarns, but also has a certain degree of freedom in the creative design of dot shapes and their combination, providing options for the diversified design of anti-counterfeiting jacquard fabrics.

      Influence of air-slot width of melt-blown die on airflow movement and fiber attenuation
      WANG Yuechuan, ZENG Anjian, ZHANG Mengfei, CHEN Xinyu, LIU Lianmei, XIE Sheng
      Journal of Textile Research. 2026, 47(04):  127-135.  doi:10.13475/j.fzxb.20250604201
      Abstract ( 37 )   HTML ( 4 )   PDF (11685KB) ( 14 )   Save
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      Objective Melt blowing is a technology that uses high-speed airflow to draw molten fibers for preparing ultrafine fiber nonwoven materials. The performance of melt-blown nonwovens is closely related to fiber diameter, and reducing fiber diameter can directly improve material performance. As the core component of melt-blowing equipment, the geometric structure of the die has a decisive impact on fiber attenuation. This study focuses on the influence of melt-blown die air-slot width on the fiber formation process, combining numerical simulation and experimental methods to analyze the distribution characteristics of airflow fields under different air-slot widths and reveal their impact mechanisms on fiber drawing behavior.

      Method The k-ω SST model and Detached Eddy Simulation (DES) model were used to numerically simulate the characteristics of steady-state and unsteady melt-blown airflow fields, respectively. An electronic anemometer was employed to measure the airflow velocity beneath the die. A single-orifice melt-blown spinneret was used for fiber preparation, and an Acuteye-1M-2000CXP high-speed camera was utilized to capture the dynamic trajectories of melt-blown fibers. Fiber whipping motion and fiber diameter were measured by importing high-speed photography images into Image J software. Finally, the porosity of melt-blown fiber materials prepared by dies with different air-slot widths was characterized through oil absorption tests.

      Results It was found that as the air-slot width increased, the position where the airflow reaches the maximum velocity moved away from the die. When the air-slot width was 0.5 mm, the airflow velocity reached its maximum at z =2.5 mm, and when the air-slot width increased to 1.5 mm, the maximum velocity was located at z = 6 mm. Consequently, under a large air-slot width, the melt flowing out of the spinneret nozzles could not be effectively drawn by the high-speed airflow, resulting in melt swelling. In contrast, under a small air-slot width, the melt extruded from the spinneret nozzles was able to quickly drawn by the high-speed airflow, thereby avoiding melt extrusion swelling and obtaining finer fibers. Numerical simulation results showed that when the air-slot widths are 0.5 mm, 1.0 mm, and 1.5 mm, the airflow underwent turbulent transition at z = 5 mm, 8 mm, and 17 mm, respectively. This indicates that as the air-slot width decreased, the airflow transitioned to turbulence earlier, promoting the early activation of the fiber whipping and stretching mechanism. The whipping and stretching mechanism was conducive to fiber drawing but causes fibers to enter the turbulent region earlier, leading to intensified nonlinear fluctuations in whipping and stretching and thus deteriorating the uniformity of fiber fineness (at z = 3.97 mm, the CV value of fiber diameter increases from 8.8% to 28.8%). In addition, both simulation and experimental results evidenced that the larger the air-slot width the longer the continuous distance of the maximum airflow velocity. When the air-slot width was 0.5 mm, there was no obvious continuous distance for the maximum airflow velocity; when the air-slot width was 1 mm, the maximum airflow velocity was able to be maintain within a range of 19 mm. And when the air-slot width was 1.5 mm, the stable plateau section of the airflow velocity became even longer, lasting for 29 mm. Oil absorption experiments showed that the oil absorption rates of dies with air-slot widths of 0.5 mm, 1.0 mm, and 1.5 mm were stabilized at 30, 26, and 23 times, respectively. The reason is that as the air-slot width increases, the pressure effect of the airflow on the fiber assembly increases, making the melt-blown fiber material more compact and reducing its porosity.

      Conclusion This study investigates the influence of air-slot width in melt-blown dies on fiber attenuation through numerical simulation and experimental validation. By analyzing the airflow field, fiber motion, fiber diameter, and characteristics of fiber assemblies, it is verified that a smaller air-slot width enhances airflow-induced fiber drawing and effectively suppresses melt extrusion swelling. Narrower air-slots promote the whipping motion of fibers, resulting in reduced fiber diameter but deteriorating fiber uniformity. In contrast, wider air-slots prolong the interaction distance between airflow and fibers, leading to denser fiber assembly structures with reduced porosity.

      Online detection of sized yarn hairiness based on machine vision
      HUANG Yuxiang, PAN Xinming, GUO Mingrui, WANG Jing'an, GAO Weidong
      Journal of Textile Research. 2026, 47(04):  136-144.  doi:10.13475/j.fzxb.20250706701
      Abstract ( 50 )   HTML ( 6 )   PDF (12490KB) ( 14 )   Save
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      Objective Sizing is a key step in weaving preparation. It effectively controls yarn hairiness, improves weaving efficiency, and enhances fabric quality. However, hairiness detection during sizing still relies on offline methods. These methods fail to provide timely feedback on hairiness levels and hinder precise process control. To address this issue, we proposed a machine vision-based method for online detection of sized yarn hairiness. This method is expected to enable real-time hairiness monitoring during the sizing process.

      Method An online image acquisition system was built using an industrial camera, a laser light source, and a motorized screw rod. After autofocus, high-resolution images of the sized yarn sheet were continuously captured. The acquired images were then processed by a deep-learning-based segmentation model to generate binary hairiness images. A thresholding algorithm was applied to extract binary yarn images. Edge pixels in both the hairiness and yarn stem images were counted separately. The hairiness ratio (Hr) was calculated as the ratio of edge pixels in the hairiness binary image to those in the yarn core binary image, serving as an indicator for evaluating the sized yarn hairiness level.

      Results To verify the effectiveness of the proposed method under various influencing factors, an experimental device was set up and used to simulate the actual yarn running conditions in the sizing process. A variety of yarn samples with different linear densities, fiber types, colors, and construction type were selected to ensure the validity and universality of proposed method. The detection results (Hr) were compared with the H index measured by the Uster Tester 5. The detection results showed that the proposed method achieved the a correlation coefficient of 0.94 between Hr and the H index, outperforming the UNet model's 0.91 and the traditional Canny algorithm's 0.83. In terms of efficiency, both the proposed method and the UNet model, as deep learning-based approaches, were able to fully utilize the parallel computing capabilities GPU, and the number of images processed per second was significantly higher than the 2.87 frames per second of the Canny algorithm. Benefiting from lightweight design, the proposed method achieved a processing speed of over 10 frames per second, which is superior to the 7.31 frames per second of UNet, indicateing improved detection accuracy, real-time performance, and variety adaptability. To assess the robustness and operational stability of the proposed method under dynamic production conditions, a speed adaptability test was conducted. Hr values were measured at yarn running speeds of 70, 90, and 110 m/min and compared with baseline results at 50 m/min. Test results showed that Hr initially decreased with increasing speed but rose again at higher speeds. This trend is attributed to the edge diffusion effect, where blurred or diffused hairiness boundaries increase the number of detected edge pixels, raising the Hr value. Despite the influence of blur caused by motion, deviations in detection results across all tested speeds remained within 5%. In terms of environmental adaptability, the detection result of the proposed method at illumination levels above level 7 was only 5% compared to level 10 brightness. This proves that the method can adapt to the real-time detection of hairiness under complex conditions in sizing production.

      Conclusion This study developed an online hairiness detection system on sizing machine, including an image acquisition device, a deep learning segmentation model, and a new index (Hr) to characterize the hairiness. The results showed that the Hr and the H index had a high level of correlation, which confirms the effectiveness of the proposed method. The experiments demonstrated that the proposed method had desirable effectiveness and real-time efficiency, as well as sufficient adaptability under varying speeds, illumination conditions, and yarn properties. During the sizing process, the method can record and plot the variation curve of hairiness, allowing real-time monitoring and data archiving. The hairiness detection results also reflect the influence of process parameters in real time and provides historical data to support process optimization.

      Research on lightweight lace fabric surface defect detection method based on improved YOLOv9s
      DU Xiaoguang, JING Junfeng, WANG Yongbo
      Journal of Textile Research. 2026, 47(04):  145-153.  doi:10.13475/j.fzxb.20250501101
      Abstract ( 48 )   HTML ( 10 )   PDF (13142KB) ( 18 )   Save
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      Objective To ensure the quality of lace products, it is of great significance to achieve accurate and efficient surface defect detection during the lace fabric production process. To further reduce the computational complexity of the lace fabric surface defect detection models based on deep learning and make them more suitable for embedded devices with low computing power, a lightweight detection method named MosYOLO is proposed by improving the YOLOv9s model.

      Method The improved MobileNetv3-Small lightweight network was adopted as the backbone network of YOLOv9s model to reduce the number of parameters and the amount of calculation. The improved Efficient Channel Attention mechanism was introduced into the backbone network to enhance the model's ability to recognize defect features. Aiming at the imbalanced proportion between the difficult and easy samples in the training data, the Focaler-CIoU loss was introduced to replace the original CIoU loss. The Focal Modulation module was applied to the neck network to further enhance the model's ability to extract defect information.

      Results In this study, a dataset was constructed using lace fabric images collected from real industrial sites, including four types of surface defects, namely jacquard holes, broken yarns, holes and edging. The image size was all 512 pixels × 512 pixels. This dataset was used to train and test the model. By introducing multiple evaluation indicators for a comprehensive assessment of the model performance, it was learnt from the experiments that the mean Average Precision of improved MosYOLO model reached 91.0%, and the F1 score reached 88.4%. Compared with the baseline YOLOv9s model, mean Average Prescision and F1 score increased by 1.5% and 1.3%, respectively. Moreover, both the number of parameters and the amount of calculation of the model decreased by 27.1%, and the detection speed reached 37.9 frames per second. From the visualization results, the detection effect of MosYOLO model was superior to that of YOLOv9s for lace fabric surface defect detection, and it showed stronger detection ability for small defect. Compared with the Faster R-CNN, SSD, YOLOv4-Tiny, MobileNetv2-SSDLite, YOLOv7-Tiny and YOLOv7 object detection models, MosYOLO model achieved a better balance among detection accuracy, parameter quantity, computational cost and detection speed. By optimizing and accelerating MosYOLO model using TensorRT framework, the detection speed of the model and its deployment performance on edge device have been greatly improved. The ablation experiment results of improved model showed that after replacing the backbone network of YOLOv9s with the improved MobileNetv3-Small, the number of parameters, computational cost and volume of the model were significantly reduced. After introducing the Efficient Channel Attention mechanism in the shallow network stage, the mean Average Precision was improved. When the Focaler-CIoU bounding box regression loss was adopted, the mean Average Precision of the model became better than that of the CIoU loss. After using the lightweight Focal Modulation module in the neck network, the computational complexity of the model was further reduced, and the mean Average Precision was improved, making the model more efficient and more suitable for deployment on edge device.

      Conclusion A lightweight method MosYOLO based on improved YOLOv9s model is proposed for the detection of lace fabric surface defects. The MosYOLO method significantly reduces the number of parameters, computational cost and volume of the model while ensuring the detection accuracy. By replacing the backbone network of YOLOv9s model with the improved MobileNetv3-Small, the improved Efficient Channel Attention mechanism, Focaler-CIoU bounding box regression loss and Focal Modulation module are introduced. MosYOLO outperforms YOLOv9s and other mainstream object detection models in multiple indicators such as the mean Average Precision and detection speed. The MosYOLO method can be deployed in edge device, better meeting the demands of the lace fabric industrial production site and enhancing production efficiency and product quality.

      Dyeing and Finishing Engineering
      Alkaline deweighting process and mechanical properties of sea-island filament base fabrics for synthetic leather
      ZHAO Lihuan, YAN Ziyan, ZHANG Rong, YUAN Mingzhu, NIE Xiuwen, LIU Xinrui
      Journal of Textile Research. 2026, 47(04):  154-162.  doi:10.13475/j.fzxb.20250702401
      Abstract ( 42 )   HTML ( 5 )   PDF (11796KB) ( 10 )   Save
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      Objective To address the lengthy process and high energy consumption of microfiber synthetic leather made from staple fibers, this study employed spunbonded alkaline-soluble copolyester/polyamide 6 (COPET/PA6) island-in-sea filament hot-rolled nonwovens as the substrate. The alkali reduction splitting process, which directly affects the physical-mechanical properties and hand feel, was investigated. Additionally, methods to mitigate the significant anisotropy in mechanical properties were explored.

      Method Using weight loss and fibrillation rate as evaluation indices, single-factor experiments were carried out to examine the influences of alkali concentration, treatment temperature and time on the fibrillation of the leather substrate. To improve its mechanical properties, the substrate was pretreated with dimethyl silicone oil, then modified with aluminum tannin and tannin extract as crosslinkers. Orthogonal experiments were designed to optimize the synergistic crosslinking modification of the two crosslinkers.

      Results In the alkali reduction splitting process, the alkali concentration, treatment temperature, and time significantly influenced the splitting efficacy of the nonwoven substrate. The optimal process parameters were determined as an alkali concentration of 24 g/L, a temperature of 90 ℃, and a duration of 30 min. The splitting effect improved with increasing alkali concentration up to 24 g/L; beyond this level, damage to the substrate occurred. The splitting rate was rapid below 90 ℃ but decreased above this temperature, which also caused substrate damage. As treatment time extended, the splitting effect exhibited two distinct stages, with 30 min as the critical threshold. To address the significant anisotropy in mechanical properties between the machine and transverse directions of the island-in-sea filament microfiber synthetic leather substrate, modification treatments were conducted to enhance the mechanical performance and reduce directional disparity. Experimental results indicated that with 1.0% dimethicone addition, the differences in breaking strength and tearing strength between the two directions reached their minimum. Building on this foundation, the effects of two crosslinking agents-aluminum tannin and wattle extract-on the mechanical properties of the substrate were investigated, and the combined crosslinking modification process was optimized. The optimal formulation was determined to be 8% aluminum tannin combined with 6% wattle extract. Fourier transform infrared spectroscopy confirmed the successful occurrence of crosslinking reactions. Following the combined crosslinking modification, the moisture permeability of the substrate improved, while air permeability and softness exhibited slight reductions.

      Conclusion This study successfully established an alkali reduction splitting process for COPET/PA6 island-in-sea filament microfiber synthetic leather substrates, achieving a high degree of openness while minimizing the impact on mechanical properties. Furthermore, a combined crosslinking modification using aluminum tannin and wattle extract effectively mitigated the anisotropy in mechanical properties and enhanced the overall mechanical performance of the filament-based microfiber substrate. The resulting microfiber leather substrate demonstrates potential for applications in garments and decorative materials. This research provides a viable solution to address the challenges of lengthy production processes and high energy consumption associated with conventional microfiber synthetic leather. However, although the combined crosslinking modification effectively improved mechanical properties, it led to a slight decrease in air permeability and softness. Future research should focus on exploring modification techniques to minimize these adverse effects on wear comfort.

      Preparation and properties of aramid fabrics grafted with sericin protein
      KANG Qingqing, WEI Xia, LUO Jingxian
      Journal of Textile Research. 2026, 47(04):  163-170.  doi:10.13475/j.fzxb.20250707401
      Abstract ( 38 )   HTML ( 2 )   PDF (9126KB) ( 20 )   Save
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      Objective Among various textile materials, meta-aramid has become an important material in the field of protective clothing due to its excellent performance. However, its inadequate comfort limits its application in certain scenarios. Sericin protein possesses excellent hydrophilicity and shows potential for improving the wearing comfort of meta-aramid fabrics. Therefore, enhancing the hydrophilic properties and overall wearing comfort of meta-aramid through surface grafting modification methods holds significant importance for improving the comprehensive functional performance and wearing comfort of protective clothing.

      Method In this study, Friedel-Crafts alkylation was employed to introduce epoxy groups onto the surface of the aramid fibers, followed by the grafting of sericin protein. Then, the grafting of sericin onto the aramid fibers was analyzed by field emission scanning electron microscopy (FE-SEM), energy-dispersive X-ray spectroscopy (EDS), Fourier transform infrared spectroscopy (FT-IR), and Coomassie Brilliant Blue staining experiment. Furthermore, the washability, thermal stability, comfort, and flame retardancy of the fabrics before and after modification were characterized and evaluated.

      Results Through Friedel-Crafts alkylation, active sites were successfully introduced onto the surface of meta-aramid fibers, enabling the stable chemical bonding of sericin protein to the fibers. This process endowed the modified fabric with excellent wash resistance, resulting in a sericin retention rate of over 75% after 30 washing cycles. FE-SEM revealed characteristic morphological changes on the surface of the modified fibers, including uniform deposition of sericin protein and filling of fiber gaps, without compromising the integrity of the fiber structure. EDS confirmed a significant increase in oxygen content on the fabric surface, indicating the successful introduction of oxygen-containing functional groups. FT-IR and Coomassie Brilliant Blue staining experiments further verified that sericin protein was successfully grafted onto the fabric surface. The modified fabric maintained good thermal stability, while its performance underwent significant changes, where the areal density increased by 50%, moisture regain improved by 17.4%, and wicking height increased by 40.2%. The peak electrostatic voltage decreased by 59.2%, demonstrating substantial enhancements in hydrophilicity, moisture conductivity, and antistatic properties. Although air permeability and moisture permeability decreased by 8.8% and 1.5%, respectively, they remained within acceptable ranges. In terms of flame retardancy, compared with the original fabric, the after-flame time of the modified fabric in the warp and weft directions increased by 0.26 s and 0.28 s; the afterglow time in the warp and weft directions increased by 0.34 s and 0.26 s, and the damaged length in the warp and weft directions increased by 1 mm and 4 mm. Although these parameters increased slightly, but still satisfying the flame-retardant standards.

      Conclusion Based on the experimental results, the Friedel-Crafts alkylation reaction effectively facilitated the bonding between sericin and meta-aramid, resulting in an overall improvement in the wearing comfort of the grafted aramid fabric. The modified fabric retains its classification as a flame-retardant material. The surface grafting technology based on Friedel-Crafts alkylation not only significantly enhances the fabric's hydrophilicity and wearing comfort but also preserves its inherent flame-retardant functionality. With its maintained excellent flame retardancy and improved wearing comfort, the modified aramid fabric is suitable for professional applications requiring prolonged wear, such as firefighting suits and industrial protective clothing. It holds the potential to effectively address common issues associated with traditional protective garments, such as heat retention and static electricity buildup. This study achieves a synergistic enhancement of the "protection-comfort" performance of aramid fabrics, providing an effective technical pathway for developing protective textiles that combine high performance with superior comfort.

      Supercritical CO2 water-free flame-retardant treatment of polyester fabrics
      LIU Yanyan, WANG Xiaoyan, DU Jinmei, ZHENG Zhenrong, HAN Zhenbang, XU Changhai
      Journal of Textile Research. 2026, 47(04):  171-179.  doi:10.13475/j.fzxb.20251005001
      Abstract ( 31 )   HTML ( 5 )   PDF (14560KB) ( 15 )   Save
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      Objective Polyester fabrics are flammable with molten dripping during combustion, limiting its application in various fields. Therefore, it is of great significance to impart flame retardancy to polyester fabrics. However, conventional flame-retardant modification of such fabrics leads to water pollution. Supercritical CO2 finishing technology avoids the use of organic solvents and water, as well as achieves zero waste in the finishing process, and it has attracted considerable attention as an eco-friendly flame-retardant method that can replace the existing water-based processes. This work aims to develop environmentally friendly, water-free flame retardant finishing technique using supercritical CO2.

      Method The flame-retardant performance of several phosphorus/nitrogen-based flame retardants was investigated in supercritical CO2 fluid. Given the environmental advantages of this technology, the toxicity of eight structurally diverse flame retardants was predicted using the Toxicity Estimation Software Tool (T.E.S.T.). Particle size analysis confirmed that all flame retardants were in the nanometer range, suitable for supercritical CO2 processing. Scanning Electron Microscopy (SEM) was employed to examine the morphology of treated fibers and the deposition characteristics of flame retardants on the fabric surface. Flame retardancy was evaluated via Limiting Oxygen Index (LOI) and vertical burning tests, with particular attention to char length and melt-drip behavior. Correlation analysis was performed to identify key parameters influencing performance.

      Results All the flame retardants with the particle sizes less than 1 μm were found suitable for supercritical CO2 flame retardant finishing. The results demonstrated that stronger binding energy between the flame retardant and the polyester fabric led to greater weight gain rate of the flame retardant on the fabric. The comprehensive evaluation of flame retardant performance revealed significant differences among the different flame retardants. 2-Carboxyethyl(phenyl) phosphinic acid(CEPPA), triphenyl phosphate and 9,10-Dihydro-9-oxa-10-phosphaphenanthrene-10-oxide(DOPO)exhibited high binding energy and significant weight gain rate and demonstrated the most outstanding overall performance, achieving a high LOI (>26%) compared to approximately 21% for untreated polyester fabrics and the elimination of melt-dripping. In addition, CEPPA possessed good durability of flame retardancy on polyester fabrics due to the high binding affinity. Sodium phytate also exhibited good flame retardancy, with LOI values all exceeding 26%, significantly enhancing the fire safety of polyester fabrics. However, the flame retardant durability of the polyester fabric treated with sodium phytate was poor because of its low binding affinity. In contrast, flame retardants such as melamine showed poor performance, with a damaged length even greater than that of untreated polyester fabric. The investigation into mechanical properties revealed that different flame retardants had varying impacts on the strength of fabric. Notably, tyrosine and DOPO can not only impart flame retardant properties to polyester fabrics, but also enhance the breaking strength of the fabrics to a certain extent.

      Conclusion In supercritical CO2 flame-retardant finishing of polyester, binding energy between the flame retardant and the fabric, fabric weight gain, and wash resistance show a positive correlation. The type of flame retardant significantly influences the flame-retardant effect in the supercritical CO2 system. Among eight flame retardants, CEPPA, triphenyl phosphate, and DOPO had excellent flame-retardant efficacy. This study preliminarily confirms the feasibility of applying supercritical CO2 fluid technology to the flame-retardant finishing of polyester fabrics, providing a theoretical basis and practical reference for further research into water-free functional finishing technologies.

      Application of alkali gel in degumming and printing process of raw silk fabrics
      ZHOU Jiali, LI Yufeng, WU Huihui
      Journal of Textile Research. 2026, 47(04):  180-188.  doi:10.13475/j.fzxb.20250403901
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      Objective Alkali-agent degumming printing is a traditional craft with significant cultural value. However, its contemporary development is constrained by technical bottlenecks such as limited pattern precision and low efficiency. To address these challenges, this study explores a novel alkali gel degumming process. Through scientific and quantitative research, it aims to resolve existing technical limitations and promote the modern preservation and innovation of this traditional technique.

      Method To achieve rapid and refined degumming of raw silk fabrics, this study developed an alkali gel printing process based on the synergistic effect of alkali, water, and heat. The gel was formed by the reaction between sodium hydroxide and sodium polyacrylate, and its high viscosity enables precise localization of degumming conditions. The optimal process parameters were determined by characterizing the degummed samples using scanning electron microscopy and infrared spectroscopy.

      Results The experimental results indicated that sodium hydroxide concentration, hot-pressing temperature, and hot-pressing time all significantly affected the degumming rate of silk fabric. The degumming rate increased with higher sodium hydroxide concentration, showing a positive correlation. This is because the alkali moves sericin away from its isoelectric point, enhancing its swelling and dissolution. The degumming rate also got higher with increasing hot-pressing temperature. When the temperature increased from 60 ℃ to 100 ℃, the degumming rate improved from 25.63% to 27.12%, with consistent gains for every 10 ℃ increment. It was also showed that heat promoted the transfer of alkali through moisture in the gel to the silk fiber surface, creating a synergistic alkali-water-heat condition essential for degumming. However, excessively high temperatures caused rapid moisture evaporation, leading to premature drying and suppressed degumming. The effect of hot-pressing time on degumming rate followed an initial increase followed by a decrease. Extending the time from 30 s to 90 s led to rise of the degumming rate from 25.31% to 26.67%, during which sericin swelled and separated from fibroin. Further extension to 120-150 s reduced the degumming rate to 24.53%, due to moisture loss causing re-solidification of sericin and adhesion to fibroin. Orthogonal tests showed the following influencing factors ranking, which is sodium hydroxide concentration > hot-pressing temperature > hot-pressing time. FTIR analysis confirmed that the chemical structure of fibroin remained unchanged under optimal degumming conditions, with its conformation still dominated by β-sheets, β-turns, α-helix, and random coils.

      Conclusion The alkali degumming of raw silk fabric relies on the synergistic effect of alkali, water, and heat. This study developed an alkali gel by neutralizing sodium polyacrylate with sodium hydroxide, which can precisely provide the necessary conditions for localized degumming. Experimental results verified that under the optimized parameters - 3% sodium hydroxide mass fraction, 90 ℃, and 120 s, effective degumming was achieved, resulting in a smooth fiber surface with intact chemical structure. Furthermore, by controlling the mass fractions of sodium hydroxide and sodium polyacrylate within 3%-3.5% and 8%-9%, respectively, optimal pattern contour precision was obtained. The alkali gel process developed in this study enables rapid and precise degumming printing on raw silk fabric, overcoming the limitations of traditional alkali boiling and steaming methods in terms of pattern flexibility and fineness, thereby providing a new technical approach for modern silk degumming and printing.

      Apparel Engineering
      Correlation between structural balance and clothing pressure distribution of women's wear
      DU Jinsong, NIE Jiale
      Journal of Textile Research. 2026, 47(04):  189-197.  doi:10.13475/j.fzxb.20250905901
      Abstract ( 43 )   HTML ( 6 )   PDF (9837KB) ( 15 )   Save
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      Objective Pattern structure adjustment in women's garment development mainly relies on empirical judgment and lacks objective quantitative criteria. This study aims to address these issues by establishing a pattern structure evaluation method based on garment pressure data obtained from virtual fitting. The objective is to clarify the relationships among pattern parameters, body parameters, and garment pressure distribution, and to examine the feasibility of using pressure indicators to predict pattern adjustment quantities for objective pattern modification.

      Method Virtual fitting experiments were conducted using the CLO3D system with a standard female mannequin. Pattern structural parameters, including bust circumference and shoulder slope angle, as well as mannequin body parameters such as bust girth, shoulder slope, and neck root girth, were systematically varied to investigate their effects on garment pressure distribution. A series of control, single-variable, coordinated, and cross-variable experiments were designed to analyze the individual and combined influences of structural and body parameters. Garment pressure data were collected at seven predefined pressure measurement points: neck side point (P1), shoulder endpoint (P2), front armpit point (P3), bust point (P4), back neck point (P5), back armpit point (P6), and scapular prominence point (P7). A total of 171 experimental datasets were obtained. Based on these data, a multilayer perceptron (MLP) was constructed to model the nonlinear relationships between pattern parameters, body measurements, and garment pressure. The trained model was further used to predict pattern adjustment quantities, and its performance was evaluated using error metrics.

      Results The results showed that increasing pattern bust circumference led to a consistent decrease in garment pressure values across all seven measurement points. The correlation coefficients between pattern bust circumference and garment pressure were found to range from -0.50 to -0.21, indicating that bust adjustment produces directionally consistent pressure changes across multiple anatomical regions. Among the measurement points, pressure responses at the neck and shoulder-related locations showed higher sensitivity to bust variation than those at posterior torso regions. Feature importance analysis revealed that neck root girth had the strongest influence on the prediction of pattern bust adjustment, with the highest importance value (2.027). This result indicates that variations in neck root girth correspond more closely to required bust-related structural modification than other body parameters considered in this study. Shoulder slope mainly affected pressure redistribution in the upper torso and shoulder regions, while its influence on lower torso pressure distribution remained limited. The MLP model achieved stable predictive performance for pattern adjustment quantities. The mean absolute error for predicting pattern bust circumference adjustment was 0.15 cm, and the mean absolute error for shoulder slope angle adjustment was 0.14°. These error levels remained consistent across different experimental groups, including single-variable and coordinated adjustment experiments, indicating stable prediction performance under varying parameter combinations. Analysis of prediction residuals indicated no systematic bias related to pressure magnitude or measurement location. Further verification experiments were conducted to assess the reliability of the proposed approach. Subsequent physical garment pressure tests using an airbag-type contact pressure measurement system confirmed that, after structural modification, measured pressure values at all locations fell within corresponding comfort threshold ranges. The deviation between virtual and physical pressure measurements remained within an acceptable range.

      Conclusion Results indicate that garment pressure data obtained through virtual fitting can quantitatively describe the relationship between women's garment pattern structure and pressure distribution. The research confirms that pattern structural parameters, particularly bust circumference and shoulder slope, are closely associated with pressure responses at key anatomical locations, while mannequin neck root girth plays an important role in determining required bust-related pattern adjustments. The MLP model provides stable predictions of pattern adjustment quantities within the experimental parameter range, and verification through physical pressure testing confirms consistency between virtual and real garment pressure distributions.

      From a practical perspective, the proposed method offers an objective reference for pattern structure modification during virtual sample development, reducing reliance on empirical judgment. Future work may extend this approach to a wider range of garment types, body shapes, and dynamic postures, and further integrate pressure-based evaluation with digital pattern design systems, supporting data-driven garment development and structural optimization.

      Visual programming and digital interactive design based on cloud collar patterns
      MAO Keren, ZHENG Jingjing, CUI Rongrong, WANG Zhicheng
      Journal of Textile Research. 2026, 47(04):  198-206.  doi:10.13475/j.fzxb.202508027301
      Abstract ( 67 )   HTML ( 5 )   PDF (14670KB) ( 27 )   Save
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      Objective This study addresses stagnant evolution in traditional Chinese cloud collar patterns and digital interaction limitations. It proposes a novel framework using visual programming to bridge historical art and digital expression. By analyzing examples form Ming and Qing dynasties, it deconstructs forms and principles, establishing a robust parametric system to capture digitally the traditional aesthetics. Integrated audio-driven interaction creates a dynamic generative environment for the living inheritance of this heritage, specifically enhancing youth engagement and fostering innovative participation with traditional culture.

      Method Ming-Qing cloud collar patterns were collected. High-resolution scanning and image processing were used for precise feature extraction of skeletal structures and decor. A digital workflow in TouchDesigner (node-based visual programming) was built, and dynamic particle reconstruction was carried out, where 2-D patterns were transformed into responsive 3-D particle systems using Point Transform TOP to map deconstructed image RGB values to particle 3-D coordinates (X, Y, Z) in real-time. Audio features were extracted and mapped in real-time to control particle parameters. A fuzzy comprehensive evaluation model was applied to assess input efficacy for high-fidelity digital pattern representation.

      Results The research results indicated that the innovative integration of cloud collar patterns with visual programming technology not only achieved the digital regeneration of traditional cloud collar patterns but also established a dynamic inheritance path featuring both technological breakthroughs and cultural depth. The dynamic particle reconstruction technology facilitated the creative transformation from 2-D to 3-D through the node workflow of TouchDesigner. Patterns, after being standardized by Fit TOP, optimized for blurriness by Blur TOP, and adjusted for parameters by Level TOP, were synthesized into RGBA four-channel maps via Reorder TOP. Subsequently, through the GPU parallel architecture of Point Transform TOP, the RGB channel values were mapped in real-time to 3-D particle coordinates (with the R value controlling the X-axis, the G value controlling the Y-axis, and the B value controlling the Z-axis). Combined with instantiated rendering by Geometry COMP and optical simulation by Phong Mat, a high-density particle scene with a sense of volume and material response was ultimately formed, accurately reproducing the geometric aesthetics of traditional structures such as the "cross-shaped" framework of the Sihe Ruyi style and the radial structure of the willow leaf style.The music interaction mapping system constructed a cross-modal real-time response mechanism. By extracting audio RMS energy, which was preprocessed through Gaussian filtering by Filter CHOP, the threshold interval was controlled by Limit CHOP to convert the energy data into displacement parameters of particles along the X/Y/Z axes. Combined with logical triggering by Logic CHOP and layer switching by Switch CHOP, dynamic effects such as breath-like fluctuations at low frequencies and radial light effects at high frequencies were achieved, enabling the particle movement to synchronize with musical rhythms at the millisecond level. The fuzzy comprehensive evaluation involving 10 industry professionals and 65 experiencers shows that although the static parameter scheme accurately restored the aesthetic of patterns with a high visual fidelity rate, its dynamic expressiveness was relatively weak. The dynamic video scheme, on the other hand, demonstrated significant advantages in interactive real-time performance and application adaptability, with a comprehensive score of 87.723 using the dual-weight method. This digital achievement can be widely applied in scenarios such as immersive exhibitions in digital museums, real-time dynamic decorations in fashion shows, and interactive experiences in AR/VR, injecting technological vitality into traditional patterns and promoting their evolution from static heritage to dynamic cultural symbols.

      Conclusion This study introduces a novel digital construction methodology for Chinese cloud shoulder patterns, fundamentally leveraging the power and accessibility of visual programming. This approach effectively facilitates the modernization and revitalization of these significant traditional cultural elements. Relative to conventional graphic design or static 3-D modeling approaches, the proposed framework delivers an innovative technical solution for the living transmission of intangible cultural heritage. Its core strengths lie in its parametric flexibility and its inherent interactivity. The methodology exhibits substantial extensibility, readily adaptable to the parametric digitization and interactive regeneration of numerous other traditional decorative patterns beyond cloud shoulders. Consequently, this research possesses significant cultural dissemination value, offering new avenues for heritage appreciation, and considerable industrial application potential across creative industries, education, and digital heritage preservation, ensuring these ancient art forms resonate powerfully in the digital age.

      Intelligent classification of head neck and shoulder shapes for youths in East China
      ZHONG Yutong, LU Yehu
      Journal of Textile Research. 2026, 47(04):  207-214.  doi:10.13475/j.fzxb.20250703001
      Abstract ( 36 )   HTML ( 3 )   PDF (7691KB) ( 11 )   Save
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      Objective Traditional designs of head, neck and shoulder products ignore individual shape differences, causing user discomfort. Taking the young group in East China as the target, 3-D scanning technology and machine learning are used in this study to establish an intelligent classification system for head, neck and shoulder shapes. The research aims to provide a scientific basis for personalized engineering design (such as pillows) to enhance product comfort. The objectives of this study include identifying key morphological indicators, establishing intelligent classification models, and visualizing the results through 3-D modeling.

      Method Data of 228 participants were collected using the Vitus Smart XXL 3-D scanner. Seven indicators were extracted from the model processed by Geomagic Studio, which are tragus point-lateral width of the acromion, lateral depth of the neck, wall-anterior shoulder distance, occipital process point distance, cervical depth, occipitocervical distance and scapular distance of the neck. The normality of the data was verified through the Kolmogorov-Smirnov and Shapiro-Wilk tests. Shape classification was carried out using the K-means clustering method of SPSS 27.0, and a 3-D visualization model was generated through 3ds Max software. The intelligent classification model was established by using computer ensemble learning.

      Results By analyzing the 3-D human body scan data, no significant differences were identified in the head, neck and shoulder data between men and women, and the scanned data of men and women were combined for discussion. Using SPSS cluster analysis, the head, neck and shoulder shapes of 222 young people from East China were classified into four types, namely the normal type, deep neck type, low occipital flat neck type and high occipital deep neck type. All the indicators of the normal group were within the median range, manifesting that no significant morphological abnormalities were detected in the head, neck and shoulder structure. The occipital process distance of the low occipital and flat neck type group was found significantly lower than that of the normal type (with a mean difference of 3.5 cm), indicating that the position of the posterior occipital point shifted relatively backward, the cervical depth distance shortened by 1.6 cm, and there was an abnormal physiological curvature of the cervical vertebrae. The depth of the neck in the deep-necked group was 1.3 cm smaller compared with the normal type. The group with high occipital and deep neck type showed typical characteristics of an increase of 2.9 cm in occipital process distance and 3.1 cm in cervical depth distance respectively. The results of 3-D modeling further revealed various visual shape differences. In the process of establishing an intelligent classification model for young people's heads, necks and shoulders using machine learning, the SMOTE algorithm was employed to generate minority class samples through interpolation, in order to balance the category distribution of the training set. The linear model (SVM/LR) was significantly superior to the tree model (RF). All models tended to choose stronger regularization (C=10), and SVM selected the linear kernel. the study analysis indicated obvious linear relationships among the features. The performance of all model test sets was lower than that of cross-validation, and the random forest decreased most significantly (13.85%), indicating that the tree model was severely overfitted. The prediction results of the base models showed a high degree of similarity, and the voting ensemble did not surpass the best base model (SVM/LR). The overall accuracy rate of the intelligent classification model based on ensemble learning was found to be 92%, reaching an excellent level. The recognition effects of most categories were excellent, with 100% for the low-pillow flat-neck type, 94% for the normal type, and 92% for the deep-neck type.

      Conclusion Based on 3-D human body scan data and cluster analysis, this study classified the young group into four categories, aiming to improve the deficiencies of existing head, neck and shoulder research in the fields of transgender and intelligent classification. By integrating 3-D scanning, cluster analysis, modeling techniques and machine learning, precise basis for the development of personalized engineering products (such as sleep pillows) was formulated. In the future, it is necessary to further verify the applicability of the classification system among a wider range of people (such as different age and occupational groups), and explore the influence of dynamic postures on morphology.

      Multi-view 3-D human body reconstruction
      LI Yutong, YU Shijia, HAN Shuguang
      Journal of Textile Research. 2026, 47(04):  215-224.  doi:10.13475/j.fzxb.20250603501
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      Objective In virtual try-on and garment customization, the traditional 3-D human reconstruction method faces limitations, where the single-view methods yield inaccuracies due to depth ambiguity/occlusion while multi-view approaches ignore topological correlations. This study aims to overcome these by innovatively integrating CNNs and GCNs to develop an accurate video-frame-to-3-D-body mapping, and to establish a framework capable of solving nonlinear multi-view feature aggregation which enables efficient reconstruction using consumer-grade video inputs instead of professional scanners.

      Method This study proposes a novel 3-D human body reconstruction framework that integrates Convolutional Neural Networks (CNN) with Graph Convolutional Neural Networks (GCN). To address the challenge of sparse view reconstruction, multi-view binary masks are extracted from a 360° rotating video and the 3-D human shape is compressed into a 25-dimensional PCA parameter space. The core architecture employs a modified ResNet-50 embedded with 3-D convolutional layers and Convolutional Block Attention Modules (CBAM) to capture spatiotemporal features and enhance structural discriminability. Furthermore, a two-layer GCN is utilized to model the spatial correlations between different viewpoints via an adjacency matrix. By modeling the multi-view inputs as nodes in a graph structure, the GCN dynamically aggregates spatial context, enabling the network to learn the geometric relationship between viewpoints and resolve occlusion ambiguities inherent in individual projections. This integration enables precise regression of PCA coefficients for high-fidelity mesh generation. Experimental results on the SPRING dataset demonstrate that the proposed method effectively recovers complex body geometries with high computational efficiency and robustness.

      Results The proposed method leads to significant improvements in both accuracy and efficiency for 3-D human body reconstruction. The proposed method achieves a Chamfer Distance (CD) of 1.12 cm, outperforming existing methods. Furthermore, the reconstruction precision is demonstrated by an average per-vertex error of less than 0.5 cm, with relative errors for all primary human body parameters maintained below 5%, confirming the high geometric fidelity of the reconstructed model. The ablation study confirmed the critical contribution of the GCN module: the exclusion of this component resulted in a significant increase in both the average per-vertex error and the maximum error, demonstrating the module's effectiveness in capturing complex inter-view relationships. Visual comparisons between reconstructed models and ground-truth meshes validated the method's capability for recovering fine-grained anatomical details. Practical utility was demonstrated in apparel customization scenarios, where virtual try-on applications leveraging the precise body models significantly reduced costs associated with physical garment trials. Although the GCN component introduced additional computational overhead during training, the achieved reconstruction quality substantially surpassed traditional CNN cascade strategies.

      Conclusion This study proposes an innovative CNN-GCN fusion framework that effectively addresses the core challenge of insufficient view-correlation modeling in multi-view human body reconstruction. By integrating locally extracted CNN features with topological relationships among views captured by the GCN, the approach significantly enhances reconstruction accuracy. The method provides an efficient solution for virtual try-on and personalized garment customization scenarios, achieving high-precision modeling using only video captured by ordinary cameras, thereby substantially reducing the cost barrier associated with traditional 3-D scanning equipment. However, training efficiency requires further optimization due to computational overhead from sparse matrix operations in the GCN. Future work will focus on developing lightweight graph network architectures to accelerate inference while extending the framework to dynamic reconstruction applications.

      Original article
      Recent advances in development of flexible stab-resistant materials
      PAN Junyuan, LI Bingxian, JIANG Gaoming
      Journal of Textile Research. 2026, 47(04):  225-234.  doi:10.13475/j.fzxb.20250606702
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      Significance With the increasing prominence of public safety issues, flexible stab-resistant materials have been widely applied in fields such as law enforcement, security protection, and personal safety due to their excellent protective performance and wearing comfort. However, a key challenge in practical applications remains to be the trade-off between comfort and protective performance. In particular, under complex dynamic impact conditions, achieving enhanced puncture resistance while maintaining flexibility and lightweight properties is a focal point and technical challenge in current research.

      Progress Compared to rigid stab-resistant materials, flexible stab-resistant materials offer advantages in terms of lightweight and flexibility, making them suitable for daily protective applications. The mechanical response mechanism of flexible puncture resistant materials under different puncture conditions was summarized from three aspects: stress dispersion, material deformation, and interface effects. Focusing on commonly used high-performance fibers for flexible stab-resistant materials, this review analyzes typical surface modification methods for interfacial regulation and the material-structure synergistic optimization strategies based on yarn architecture design, providing theoretical guidance and technical support for the development of high-performance flexible stab-resistant materials. This paper summarizes the anti-puncture characteristics of different textile base structures such as non-woven fabric, woven fabric, and knitted fabric, as well as the key technical paths of post finishing processes such as shear thickening liquid immersion, hard particle coating, and resin reinforcement to improve material protection performance while maintaining its flexibility. The latest research progress and challenges of finite element analysis and machine learning in performance prediction are summarized.

      Conclusion and Prospect Through rational material structure design, process optimization, and the integration of advanced predictive tools, the overall protective performance of flexible stab-resistant materials can be significantly improved while retaining their inherent flexibility. To achieve a hybrid configuration of "localized stiffening with overall flexibility," future designs could embed or weave rigid reinforcements into key areas of a flexible matrix, utilizing gradient transitions or flexible interconnects for seamless integration and performance synergy. Furthermore, constructing a collaborative optimization framework combining multi-scale modeling with data-driven techniques is recommended, which holds great potential to advance the design of flexible stab-resistant materials toward higher precision and intelligence, thereby facilitating the development and practical application of next-generation protective systems.

      Comprehensive Review
      Research progress in thermal-moisture management textiles for regulating human skin micro-environment
      XIANG Xuexue, PENG Yucan, LU Zheyu, WANG Fujun, WANG Lu, GAO Jing
      Journal of Textile Research. 2026, 47(04):  235-245.  doi:10.13475/j.fzxb.20250504002
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      Significance Regulating the human skin micro-environment is crucial for maintaining thermal comfort, physiological stability, and health, particularly under extreme climates or during high-intensity activities. Traditional textiles, primarily designed for aesthetics and basic protection, offer limited and passive capacity to manage the dynamic heat and moisture exchange between the body and the environment. This often leads to thermal stress, moisture accumulation, discomfort, and even health risks such as heatstroke or skin disorders. Thermal-moisture management textiles (TMMTs), as emerging functional fabrics, represent an innovative solution by actively and intelligently modulating thermal and moisture transfer at the body-fabric interface through advanced material design and structural engineering. By offering passive, energy-free, or adaptive regulation, TMMTs hold great promise for enhancing personal thermophysiological comfort, providing health protection, and contributing to energy-efficient thermal management, potentially reducing reliance on energy-intensive environmental control systems. A comprehensive and critical understanding of their functional mechanisms, recent technical progress, and existing challenges is therefore essential to guide future research, development, and practical application of these advanced textiles.

      Progress Current research on TMMTs primarily focuses on five key directions. 1. Thermal conduction regulation is achieved by incorporating high-conductivity fillers (e.g., graphene, boron nitride) to create heat dissipation pathways, or by constructing porous, hollow, or aerogel-based structures to trap insulating air. Dynamic tuning of thermal resistance is enabled by smart materials like shape-memory polymers or hygroscopic fibers that adapt their structure to environmental stimuli. 2. In radiative thermal regulation, material intrinsic properties are combined with micro/nano-structural design. Introducing pores or high-refractive-index particles (e.g., TiO2, BaSO4) into fibers enhances solar reflectance via Mie scattering for cooling, alongside the development of infrared-transparent, broadband-emissive and spectrally selective fabrics. Conversely, radiative insulation is achieved using low-emissivity metal coatings or dopants (e.g., Ag nanowires, MXene). Dynamic radiative switching has been realized through dual-faced fabric designs or stimuli-responsive systems that alter emissivity based on temperature or moisture (e.g., sweat-triggered high emission). 3. In moisture management, the core strategy involves constructing directional liquid transport. Janus wettability structures and capillary-gradient channels are designed to enable unidirectional sweat transport. Integrating enhanced internal thermal conductivity (e.g., via BN networks) with this transport further facilitates efficient evaporative cooling. Moreover, temperature-responsive polymeric gates enable dynamic, adjustable moisture transport, opening in heat to promote cooling and closing in cold to preserve heat and block external moisture. 4. Phase change thermal regulation integrates phase change materials via microcapsules or fiber composites to buffer temperature near skin level, with improved dispersion and stability via advanced spinning and finishing techniques. 5. In energy conversion thermal regulation, photothermal, electrothermal, or thermoelectric modules are embedded in fabrics to achieve temperature control or energy harvesting. For example, solar-driven photothermal textiles can raise surface temperatures by more than 10 ℃, and thermoelectric textiles can generate power outputs up to 0.2 mW/cm2 under sunlight, thereby enabling simultaneous energy harvesting, conversion, and body temperature modulation.

      Conclusion and Prospect Prallel to progress made in thermal-moisture management textiles, challenges persist in balancing performance with wearability, overcoming single-function limitations, ensuring long-term durability, and establishing standardized evaluations. Future development should focus on: 1. Integration of multiple heat/moisture transfer pathways (e.g., conduction, radiation, evaporation) through hierarchical material and structural design for synergistic effects; 2. Scenario-specific optimization for fields like healthcare, sports, and extreme climates, incorporating sensing and localized regulation; 3. Advanced evaluation systems utilizing thermal manikins, environmental chambers, and long-term wear trials to bridge lab and real-world performance; 4. Intelligentization with responsive materials and flexible electronics for adaptive, closed-loop regulation; 5. Sustainable development via bio-based/degradable materials and scalable, low-energy manufacturing. Through continued innovation in materials, structures, and smart technologies, next-generation textiles will offer enhanced comfort and broader applications in personal health, protection, and smart living.

      Original article
      Progress in fungal pigment applications for apparel dyeing
      WANG Lexuan, XU Jin, YUAN Jiugang, TANG Ying
      Journal of Textile Research. 2026, 47(04):  246-254.  doi:10.13475/j.fzxb.20250902302
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      Significance The textile and apparel industry is actively pursuing eco-friendly and sustainable solutions in response to growing environmental concerns. Within this context, fungal pigments present an innovative opportunity for sustainable dyeing due to their natural origins, low environmental impact, and functional versatility. These pigments can help reduce the industry's reliance on conventional synthetic dyes, which often contribute to pollution and health risks. Moreover, integrating fungal pigments into garment design aligns with current trends toward green manufacturing and circular fashion. However, comprehensive analyses linking fungal pigment development to practical garment applications are still lacking. This paper reviews recent advances in fungal pigment research and analyzes their practical use in textile and apparel dyeing, to explore environmentally responsible and economically viable solutions for contemporary fashion design.

      Progress Recent years have seen notable progress in fungal pigment classification, scaled production, and dyeing techniques. Fungal pigments are categorized into water-soluble and fat-soluble types. Water-soluble pigments allow simple extraction and show environmental benefits, while fat-soluble types exhibit better color fastness and functionality. In industry, liquid-state fermentation and solid-state fermentation serve as the main production methods. Researchers improved pigment yield and stability by optimizing culture conditions, adjusting medium composition, pH, and temperature, and used genetic engineering to modify productive fungal strains. In dyeing, methods such as mordant dyeing, direct fungal biomass application, and ultrasound-assisted dyeing gained popularity. These methods enhanced dye uptake and color fastness on fibers like cotton, silk, and polyamide. Fiber surface modification also improved binding affinity, for which fiber treatments included anionic, cationic, and enzymatic pretreatments. Practical applications now cover commercial apparel, creative fashion, and protective clothing. For example, Archroma's sulfur black dye, DIRESUL EVOLUTION BLACK LIQ, reduces water use by about 73% in denim production and lowers ammonia and salt discharge. In China, companies like ZenoTech and BloomGEM launched fungal pigment-dyed cashmere and apparel, demonstrating full biodegradability. In creative design, pigments from Chlorociboria aeruginascens and myxomycetes create unique patterns on silk, offering new aesthetic options. For protective clothing, fungal pigments with antimicrobial, UV-blocking, and antioxidant properties are used in medical textiles and outdoor wear, showing their functional versatility.

      Conclusion and Prospect Fungal pigment dyeing technology offers a promising direction for sustainable textiles by combining environmental benefits with functional potential. Studies show that pigments from specific fungal strains can effectively dye textile substrates and demonstrate functional properties. However, significant challenges still hinder widespread industrial adoption. These challenges include inconsistent pigment yield between batches, a limited color range, moderate color fastness compared to synthetic dyes, and high fermentation costs. To overcome these limitations, future efforts should focus on key research and application areas. Establishing standardized strain libraries and optimizing controlled fermentation protocols will improve pigment consistency and yield. Applying genetic editing tools to regulate metabolic pathways in fungi can enhance the efficiency and diversity of pigment synthesis. Developing multifunctional or stimuli-responsive pigments, such as those sensitive to temperature or pH, may expand applications into smart and high-value textiles. Advancing cost-effective production methods is also essential. This includes using agricultural waste as low-cost culture media and adopting water-saving processes like one-bath dyeing and closed-loop wastewater recycling. Furthermore, strengthening collaboration between academia and industry, along with targeted consumer education, will help increase market awareness and acceptance. Interdisciplinary integration and systematic innovation can support the evolution of fungal pigment dyeing into a driving force for sustainable transformation in the textile industry.

      Research progress in deposition methods and antibacterial mechanisms of inorganic nanoparticles on fiber surfaces
      WU Leilei, WANG Qiang, WANG Ping
      Journal of Textile Research. 2026, 47(04):  255-264.  doi:10.13475/j.fzxb.20250902402
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      Significance Bacterial infections represent the leading cause of mortality worldwide, with hundreds of millions of cases and tens of millions of deaths occurring annually, posing a significant challenge to the global public health and safety. The proliferation of microorganisms on textile surfaces not only compromises their durability and service life but also poses risks to human health. In this context, antimicrobial textiles have attracted considerable attention for their capacity for effectively impeding the growth of microorganisms such as bacteria and fungi, and for maintaining personal and public hygiene. There are currently three maijor types of functional nano-antibacterial agents used in textile engineering, i.e., organic, inorganic, and natural nano-antibacterial agents. Among these, inorganic nano-antibacterial agents are extensively employed owing to their stable physicochemical properties and broad-spectrum, multimodal antimicrobial mechanisms. Moreover, these materials could be made to offer additional functionalities such as ultraviolet protection, photocatalytic self-cleaning, and antistatic properties. Such integrated characteristics are the friving forces to the development of multifunctional and intelligent textiles.

      Progress The properties, application characteristics, and immobilization strategies on fiber surfaces of inorganic nano-antibacterial agents were comprehensively reviewed. Based on their chemical composition and structure, inorganic antibacterial agents are categorized into metallic nanoparticles, metallic compound nanoparticles, and composite nanomaterials. Among these, nanocomposite antibacterial agents effectively overcome the limitations of single-component agents through synergistic and complementary interactions among multiple constituents, representing a major development direction in the field of antibacterial materials. Currently, commonly used methods for achieving efficient and stable loading of nano-antibacterial agents onto fibers include pad-dry-cure, spraying, sol-gel processing, covalent cross-linking, and in situ reduction deposition. The antibacterial mechanisms of inorganic nano-antibacterial textiles can be broadly categorized into passive and active modes. Passive antibacterial mechanisms include physical damage, metal ion release, and contact-mediated catalysis, while active antibacterial mechanisms involve photothermal and photocatalytic sterilization. In most cases, these mechanisms work in combination to form a multi-level and synergistically enhanced antibacterial system, which collectively contributes to the efficient, durable, and on-demand intelligent antibacterial performance of inorganic nano-antibacterial textiles, thereby broadening their potential applications in medical textiles, smart protective clothing, and related fields.

      Conclusion and Prospect Inorganic nano-antimicrobial agents have attracted considerable interest in the textile field due to their distinctive physicochemical properties, broad-spectrum and highly effective antibacterial properties. Researchers have successfully incorporated various types of inorganic nanoparticles onto fiber surfaces through multiple methods, yielding functional textiles with excellent antibacterial performance. However, such inorganic nanoparticles are susceptible to agglomeration, oxidation, or photochemical corrosion, which may compromise their antimicrobial efficacy. Moreover, the binding fastness and durability of these nano-antimicrobial agents on textiles remain insufficient, often resulting in detachment during use and laundering. This not only diminishes antibacterial function but may also raises concerns regarding the release of nanoparticles into the environment, with potential adverse ecological effects. Future efforts should prioritize the development of green manufacturing strategies, such as bio-based nanoparticle synthesis, biodegradable carrier systems, and low-energy deposition techniques, to enhance ecological sustainability and biocompatibility. Furthermore, the integration of antibacterial properties with other functionalities such as sensing, energy conversion, and electromagnetic shielding presents a promising pathway for the development of advanced smart textile materials.