Journal of Textile Research ›› 2025, Vol. 46 ›› Issue (11): 155-163.doi: 10.13475/j.fzxb.20250300701

• Dyeing and Finishing Engineering • Previous Articles     Next Articles

Molecular dynamics simulation of hygroscopic swelling behavior of porous cellulose fibers

LONG Hongxia1, WU Wei1, LIU Yalan1, XU Hong1,2,3,4, MAO Zhiping1,2,3,4()   

  1. 1. College of Chemistry and Chemical Engineering, Donghua University, Shanghai 201620, China
    2. National Engineering Research Center for Dyeing and Finishing of Textiles, Donghua University, Shanghai 201620, China
    3. Shandong Zhongkang Guochuang Research Institute of Advanced Dyeing & Finishing Technology Co., Ltd., National Innovation Center of Advanced Dyeing and Finishing Technology, Taian, Shandong 271000, China
    4. Innovation Center for Textile Science andTechnology, Donghua University, Shanghai 201620, China
  • Received:2025-03-05 Revised:2025-05-14 Online:2025-11-15 Published:2025-11-15
  • Contact: MAO Zhiping E-mail:zhpmao@dhu.edu.cn

Abstract:

Objective Cellulose fibers at high moisture content result in excessive free water content inside the pores of the fibers due to excessive swelling, which leads to increased hydrolysis of reactive dyes and limits the development of dyeing processes with high color fixation rates. Therefore, this study aims to reveal the dynamic swelling mechanism of cellulose at different moisture contents (40%-60%) on an atomic scale using molecular dynamics (MD) simulations, which provides a reference to promote the model construction of cellulose fiber pores and provides theoretical support for the control of fiber moisture content in the process of reactive dye dyeing of cellulose fibers.
Method Equilibrium molecular dynamics simulations were applied to simulate the swelling process of cellulose fiber at different moisture contents of 40%-60%. A cellulose pore model with a crystalline-amorphous-crystalline (CC/AC/CC) sandwich structure was constructed using the CHARMM36 force field and the simulation results were validated by the proportion of bound water measured by TD-NMR (T2 relaxation analysis). The system was simulated in NPT setup. Key metrics include free volume fraction analysis, density profiles, hydrogen bonding and diffusion coefficients. TD-NMR quantification of strongly bound water (0.07%) was performed to verify the accuracy of the simulation. Adsorption site competition was analyzed by radial distribution function and hydroxyl coordination number (O2, O3, O4, O6).
Results An important mechanism of cellulose hygroscopic swelling is revealed from an atomic perspective by integrating TD-NMR and MD simulations. Water molecules preferentially accumulated in the crystalline-amorphous (CC/AC) interface pores, forming a distinct longitudinal density gradient and uniform penetration in the AC region. The maximum increase in free volume fraction and a decrease in cellulose density to 1.081 g/cm3 were observed at moisture contents of 40%-50%, and the increment slowed down as moisture content further increased, suggesting that this moisture content interval is an isolated gap evolving into a connected three-dimensional network. TD-NMR and simulations consistently confirumed that the stable proportion of strongly bound water within the cellulose pores is 0.07%, which confirms the reliability of this model of cellulose pores. At high moisture contents, enhanced pore connectivity improves mass transfer efficiency, while the reduction of localized water clusters drives nonlinear diffusion kinetics with reduced diffusion coefficients. Competition for adsorption sites is related to the moisture level: at low moisture content, O6/O4 hydroxyl sites dominate, while swelling-induced structural relaxation shifts the adsorption predominance to the low-affinity O2/O3 sites.
Conclusion A cellulose pore model was constructed by molecular dynamics simulations and validated it by TD-NMR experiments to reveal the dynamic mechanism of cellulose hygroscopic swelling.The 40%-50% moisture content interval is the critical humidity threshold for cellulose pores to transition from isolated pore structure to three-dimensional network pores, and the nonlinear diffusion kinetics of water molecules is affected by local aggregation effects, thus controlling the fiber with liquid carrying rate at 40% can reduce the hydrolysis of reactive dyes. Competitive adsorption mechanisms (O6/O4→O2/O3) exist for hydration sites on cellulose. The practical significance includes: providing a reference for the construction of a multi-scale model of cellulose fiber pores, reducing the hydrolysis of dyes by controlling the liquid-carrying rate of fabrics which provides a theoretical basis and ideas for optimizing the dyeing process of reactive dyes. Future work is necessary to investigate how the pores of cellulose fibers swell at moisture contents below 40%.

Key words: cellulose fiber, fiber channel, molecular dynamics simulation, hygroscopic swelling, moisture content, time-domain nuclear magnetic resonance, cotton fabric

CLC Number: 

  • TS190.1

Fig.1

Cellular model of Iβ cellulose with different crystal planes, model of cellulose in crystalline zone and schematic diagram of different chain ends of cellulose"

Fig.2

Snapshot of compression simulation process in amorphous zone of cellulose"

Fig.3

Schematic diagram of cellulose fiber pore swelling model construction scheme"

Tab.1

System information for swelling models of three moisture content rates"

含湿率/% 水层厚度/nm 水原子数/个 总原子数/个
40 4 409 248 1 114 770
50 8 749 079 1 454 670
60 12 1 085 427 1 790 955

Fig.4

Visualization of simulation process and related density calculations. (a) Snapshots of swelling simulations;(b) Water molecule distribution at 40% moisture content; (c) Water molecule distribution at 50% moisture content;(d) Water molecule distribution at 60% moisture content; (e) Number density of water molecules;(f) Mass density change in AC region"

Tab.2

Free volume changes and accessible surface area changes of three models after swelling"

含湿
率/%
自由体积/
nm3
自由体积
分数
溶剂可及
表面积/nm2
0 32.77 0.126 2 915.398
40 61.47 0.499 3 148.466
50 70.94 0.622 3 125.790
60 75.99 0.688 3 270.586

Fig.5

Proportion of strongly bound water in cotton fibers at different moisture contents measured experimentally"

Tab.3

Number and proportion of strongly bound water molecules in cellulose at different moisture contents calculated from simulations"

含湿
率/%
强结合水分子
数/个
水分子总
数/个
强结合水
比例/%
40 102 136 414 0.073 3
50 174 249 693 0.069 2
60 288 361 809 0.076 2

Fig.6

Mean square displacement values of water molecules (a) and radial distribution function (b)of water-water interactions for swelling models with different moisture contents"

Tab.4

Slope values of mean-square displacement curves a, correlation coefficients R2 and corresponding diffusion coefficients D for water in models with different moisture contents"

含湿率/% a R2 D/(10-10·m2·s-1)
40 0.007 31 0.998 20 1.144
50 0.009 32 0.999 04 1.543
60 0.012 87 0.999 29 1.682

Fig.7

Water molecule radial distribution functions and coordination number curves for all hydration sites of cellulose fiber pores in different moisture content swelling models. (a) 40% moisture content;(b) 50% moisture content; (c) 60% moisture content"

Tab.5

Coordination number of oxygen (OW) atoms of all hydration sites of cellulose with oxygen (Ox) atoms of water molecules at different moisture contents"

含湿
率/%
配位数
O6-OW O5-OW O4-OW O3-OW O2-OW
40 0.408 0.398 0.421 0.327 0.310
50 0.281 0.245 0.272 0.262 0.267
60 0.287 0.209 0.203 0.267 0.263
[1] 舒大武, 房宽峻, 刘秀明, 等. 活性染料无盐连续轧-蒸与冷轧堆染色效果的比较[J]. 纺织学报, 2018, 39(4): 77-81.
SHU Dawu, FANG Kuanjun, LIU Xiuming, et al. Comparison on dyeing effect of reactive dyes by salt-free continuous pad-steam dyeing and cold pad-batch dyeing[J]. Journal of Textile Research, 2018, 39(4): 77-81.
[2] CONTI A, PALOMBO M, PARMENTIER A, et al. Two-phase water model in the cellulose network of paper[J]. Cellulose, 2017, 24(8): 3479-3487.
doi: 10.1007/s10570-017-1338-2
[3] 赵涛. 染整工艺与原理[M]. 北京: 中国纺织出版社, 2009: 20-24.
ZHAO Tao. Dyeing and finishing technology and principles[M]. Beijing: China Textile & Apparel Press, 2009: 20-24.
[4] 胡蝶, 张婷婷, 胡涵昌, 等. 活性染料在棉纤维上的扩散性能及其影响因素研究[J]. 纤维素科学与技术, 2020, 28(4): 38-45.
HU Die, ZHANG Tingting, HU Hanchang, et al. Diffusion performance of reactive dyes on cotton fiber and the influencing factors[J]. Journal of Cellulose Science and Technology, 2020, 28(4): 38-45.
[5] SALEM K S, NAITHANI V, JAMEEL H, et al. A systematic examination of the dynamics of water-cellulose interactions on capillary force-induced fiber collapse[J]. Carbohydrate Polymers, 2022, 295: 119856.
doi: 10.1016/j.carbpol.2022.119856
[6] 高振华, 顾继友, 李志国. 利用DSC研究异氰酸酯与纤维素的反应机理[J]. 林业科学, 2005, 41(3): 115-120.
GAO Zhenhua, GU Jiyou, LI Zhiguo. The DSC study on the reaction mechanism of isocyanate with cellu-lose[J]. Scientia Silvae Sinicae, 2005, 41(3): 115-120.
[7] MAO Z P, YU H, WANG Y F, et al. States of water and pore size distribution of cotton fibers with different moisture ratios[J]. Industrial & Engineering Chemistry Research, 2014, 53(21): 8927-8934.
doi: 10.1021/ie501071h
[8] 陶德亨, 李新宇, 刘文静, 等. 利用核磁共振技术研究热处理中密度纤维板的吸水性[J]. 安徽农业大学学报, 2018, 45(4): 645-649.
TAO Deheng, LI Xinyu, LIU Wenjing, et al. Water adsorption of heat-treatment medium density fiberboard studied by TD-NMR technique[J]. Journal of Anhui Agricultural University, 2018, 45(4): 645-649.
[9] LIU Y L, WU W, XU H, et al. A fast and effective way to measure the inner pore size distributions of wetted cotton fibers and their pretreatment performance using time-domain nuclear magnetic resonance[J]. International Journal of Biological Macromolecules, 2024, 271: 132781.
doi: 10.1016/j.ijbiomac.2024.132781
[10] SALMÉN L, STEVANIC J S, HOLMQVIST C, et al. Moisture induced straining of the cellulosic micro-fibril[J]. Cellulose, 2021, 28(6): 3347-3357.
doi: 10.1007/s10570-021-03712-1
[11] 陈玉, 江学为. 基于分子动力学模拟的纤维素Ⅱ扩散性质研究[J]. 服饰导刊, 2019, 8(3): 26-30.
CHEN Yu, JIANG Xuewei. Research on diffusion properties of cellulose Ⅱ based on molecular dynamics simulation[J]. Fashion Guide, 2019, 8(3): 26-30.
[12] 刘刚, 张恒, 孙恒, 等. 碱/脲水溶液体系中纤维素包合物构型及纤维素与溶剂分子间相互作用力的分子动力学模拟[J]. 高等学校化学学报, 2018, 39(4): 714-720.
doi: 10.7503/cjcu20170683
LIU Gang, ZHANG Heng, SUN Heng, et al. Molecular dynamics simulation on the structure of cellulose inclusion complexes and interactions between cellulose chains and solvent molecules in alkali/urea aqueous solution[J]. Chemical Journal of Chinese Universities, 2018, 39(4): 714-720.
doi: 10.7503/cjcu20170683
[13] WANG Y X, KIZILTAS A, BLANCHARD P, et al. Surface-grafted cellulose in water: interfacial retention and dynamical ingress of moisture[J]. ACS Applied Polymer Materials, 2022, 4(10): 6985-6993.
doi: 10.1021/acsapm.2c00901
[14] DAN L Y, HUANG Z Y, LI J, et al. Molecular dynamics simulations of performance degradation of cellulose nanofibers (CNFs) under hygrothermal environments[J]. Molecular Simulation, 2020, 46(15): 1172-1180.
doi: 10.1080/08927022.2020.1807541
[15] SAHPUTRA I H, ALEXIADIS A, ADAMS M J. Effects of moisture on the mechanical properties of microcrystalline cellulose and the mobility of the water molecules as studied by the hybrid molecular mechanics-molecular dynamics simulation method[J]. Journal of Polymer Science Part B: Polymer Physics, 2019, 57(8): 454-464.
doi: 10.1002/polb.v57.8
[16] 王雷, 楼雨寒, 童志函, 等. 水合金属盐低共熔溶剂室温溶解纤维素的分子动力学机制[J]. 林业工程学报, 2022, 7(4): 64-71.
WANG Lei, LOU Yuhan, TONG Zhihan, et al. Molecular dynamics mechanism of metal salt hydrate-based deep eutectic solvent to dissolve cellulose at room temperature[J]. Journal of Forestry Engineering, 2022, 7(4): 64-71.
[17] WANG Y X, KIZILTAS A, DREWS A R, et al. Dynamical water ingress and dissolution at the amorphous-crystalline cellulose interface[J]. Biomacromolecules, 2021, 22(9): 3884-3891.
doi: 10.1021/acs.biomac.1c00690 pmid: 34337937
[18] MATTHEWS J F, SKOPEC C E, MASON P E, et al. Computer simulation studies of microcrystalline cellulose Iβ[J]. Carbohydrate Research, 2006, 341(1): 138-152.
doi: 10.1016/j.carres.2005.09.028
[19] VAN DER SPOEL D, LINDAHL E, HESS B, et al. GROMACS: fast, flexible, and free[J]. Journal of Computational Chemistry, 2005, 26(16): 1701-1718.
doi: 10.1002/jcc.20291 pmid: 16211538
[20] GOMES T C F, SKAF M S. Cellulose-Builder: a toolkit for building crystalline structures of cellulose[J]. Journal of Computational Chemistry, 2012, 33(14): 1338-1346.
doi: 10.1002/jcc.22959 pmid: 22419406
[21] MARTÍNEZ L, ANDRADE R, BIRGIN E G, et al. PACKMOL: a package for building initial configurations for molecular dynamics simulations[J]. Journal of Computational Chemistry, 2009, 30(13): 2157-2164.
doi: 10.1002/jcc.21224 pmid: 19229944
[22] WOODS R J, DWEK R A, EDGE C J, et al. Molecular mechanical and molecular dynamic simulations of glycoproteins and oligosaccharides. 1. GLYCAM_93 parameter development[J]. The Journal of Physical Chemistry, 1995, 99(11): 3832-3846.
doi: 10.1021/j100011a061
[23] JORGENSEN W L, CHANDRASEKHAR J, MADURA J D, et al. Comparison of simple potential functions for simulating liquid water[J]. The Journal of Chemical Physics, 1983, 79(2): 926-935.
doi: 10.1063/1.445869
[24] ZHIVOTOVSKII L A. Computer models of quantitative characteristics in genetics: communication II. dynamics of the frequency of alleles with different types of selection[J]. Soviet Genetics, 2004, 87: 937-941.
[25] DASHTIMOGHADAM E, BAHLAKEH G, SALIMI-KENARI H, et al. Rheological study and molecular dynamics simulation of biopolymer blend thermogels of tunable strength[J]. Biomacromolecules, 2016, 17(11): 3474-3484.
pmid: 27766854
[26] HESS B, BEKKER H, BERENDSEN H J C, et al. LINCS: a linear constraint solver for molecular simulations[J]. Journal of Computational Chemistry, 1997, 18(12): 1463-1472.
doi: 10.1002/(ISSN)1096-987X
[27] DARDEN T, YORK D, PEDERSEN L. Particle mesh Ewald: an N·log(N) method for Ewald sums in large systems[J]. The Journal of Chemical Physics, 1993, 98(12): 10089-10092.
doi: 10.1063/1.464397
[28] MAZEAU K. The hygroscopic power of amorphous cellulose: a modeling study[J]. Carbohydrate Polymers, 2015, 117: 585-591.
doi: 10.1016/j.carbpol.2014.09.095 pmid: 25498674
[29] MAO X D, ZHONG Y, XU H, et al. A novel low add-on technology of dyeing cotton fabric with reactive dyestuff[J]. Textile Research Journal, 2018, 88(12): 1345-1355.
doi: 10.1177/0040517517700195
[1] ZHANG Fan, CAI Zaisheng, LIU Huijing, LU Shaofeng, HUANG Xuming. Preparation and properties of robust photochromic cotton fabrics via click chemistry [J]. Journal of Textile Research, 2025, 46(11): 196-202.
[2] WANG Zihan, LI Yong, CHEN Xiaochuan, WANG Jun, LIANG Lingjie. Modeling and simulation of waste cotton fabric shredding process [J]. Journal of Textile Research, 2025, 46(07): 136-143.
[3] ZHAO Qiangqiang, WANG Hanxing, ZHANG Fengxuan, HE Jinxin, ZHOU Jun, ZHOU Zhaochang, DONG Xia. Light fastness of dyed cotton fabrics modified with poly(hexamethylene biguanide) hydrochloride [J]. Journal of Textile Research, 2025, 46(04): 109-118.
[4] HUANG Chunyue, HUANG Xin, DU Haijuan, XU Wenjie, YANG Xuemei, WAN Keyan, LI Xu, GAO Jie. Preparation of octamolybdates complex finishing agents and their ultraviolet protection property for finishing cotton fabrics [J]. Journal of Textile Research, 2025, 46(04): 138-145.
[5] LIAO Xilin, ZENG Yuan, LIU Shuping, LI Liang, LI Shujing, LIU Rangtong. Preparation of P/N/Si composite synergistic flame retardant cotton fabric and its performance [J]. Journal of Textile Research, 2025, 46(03): 151-157.
[6] ZHANG Jie, GUO Xinyuan, GUAN Jinping, CHENG Xianwei, CHEN Guoqiang. Modification of cotton fabric by in-situ deposition of phosphorus/nitrogen flame retardants for durable flame retardancy [J]. Journal of Textile Research, 2025, 46(02): 180-187.
[7] YUAN Huabin, WANG Yifeng, WANG Jiapeng, XIANG Yongxuan, CHEN Guoqiang, XING Tieling. Modification of cotton fabrics by behenic acid and ZIF-8 for superhydrophobic and anti-icing performance [J]. Journal of Textile Research, 2025, 46(02): 197-206.
[8] CHAO Tanyu, YE Yun, LI Na, LIAO Sihan, MA Qikai, CUI Li. Degreasing finishing of cotton fabrics based on lipase immobilization and its application [J]. Journal of Textile Research, 2025, 46(01): 130-137.
[9] WU Hao, ZHOU Chang'e, GAO Zhenqing, FENG Jiahe. Color stripping performance of cotton fabrics dyed with reactive dyes based on reduction-oxidation system [J]. Journal of Textile Research, 2024, 45(12): 128-136.
[10] WANG Xinyu, GUO Mingming, ZHANG Lele, ZHENG Weijie, AMJAD Farooq, WANG Zongqian. Preparation and performance analysis of durable antimicrobial and superhydrophobic cotton fabrics [J]. Journal of Textile Research, 2024, 45(11): 170-177.
[11] XIAO Yuan, TONG Yao, HU Cheng'an, WU Xianjun, YANG Leipeng. Preparation of all-fabric flexible piezoresistive sensors based on conductive composite coating [J]. Journal of Textile Research, 2024, 45(10): 152-160.
[12] ZHANG Yingxiu, XU Lihui, PAN Hong, YAO Chengjian, ZHAO Hong, DOU Meiran, SHEN Yong, ZHAO Shiyi. Preparation and property analysis of superhydrophobic cotton fabric based on bagasse porous carbon [J]. Journal of Textile Research, 2024, 45(10): 161-169.
[13] WEI Ximei, ZHANG Yingjie, ZHANG Hongwen, WANG Jun, WANG Meng. Effect of compression parameters on cottonseed crushing rate and cotton fiber quality [J]. Journal of Textile Research, 2024, 45(10): 39-47.
[14] ZHAO Qiang, LIU Zhengjiang, GAO Xiaoping, ZHANG Yunting, ZHANG Hong. Functionality of cotton fabrics finished by montmorillonite combined with TiO2 [J]. Journal of Textile Research, 2024, 45(09): 121-128.
[15] LIU Hui, LI Ping, ZHU Ping, LIU Yun. Preparation and properties of flame retardant and antibacterial cotton fabrics treated by γ-urea-propyltriethoxysilane/phenylphosphonic acid [J]. Journal of Textile Research, 2024, 45(08): 205-214.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!