Journal of Textile Research ›› 2025, Vol. 46 ›› Issue (11): 61-68.doi: 10.13475/j.fzxb.20241005801

• Fiber Materials • Previous Articles     Next Articles

Preparation of CuO nanofibers and its performance in non-enzymatic glucose sensor

ZHANG Dianping1, CHEN Qi1, XU Dengming1, WANG Zuo1, WANG Hao2()   

  1. 1. School of Mechanical Engineering, Ningxia University, Yinchuan, Ningxia 750021, China
    2. Shantui Engineering Machinery Co., Ltd., Jining, Shandong 272000, China
  • Received:2024-10-29 Revised:2025-08-01 Online:2025-11-15 Published:2025-11-15
  • Contact: WANG Hao E-mail:fywyzwh@163.com

Abstract:

Objective The continuous monitoring of physiological blood glucose levels is a cornerstone in the prevention, management, and diagnosis of diabetes mellitus, driving the demand for advanced glucose sensing technologies. Conventional enzymatic sensors, while effective, face limitations related to enzyme stability and cost. This study focuses on the development of a high-performance non-enzymatic electrochemical sensor, utilizing transition metal copper oxides. The objective is to engineer a sensing platform that leverages the intrinsic electrocatalytic properties of copper oxide nanostructures to achieve superior sensitivity, rapid response, and environmental sustainability, thereby offering a viable alternative to enzyme-based systems.
Method Copper oxide nanofibers were synthesized through a combination of electrospinning and subsequent high-temperature calcination. A precursor solution containing copper nitrate was electrospun to form polymeric nanofiber templates, which were then calcined to yield crystalline CuO nanofibers. These CuO-NFs were subsequently deposited onto a glassy carbon electrode and stabilized with a Nafion binder to construct the GCE/CuO-NFs/Nafion sensor. The morphological and structural characteristics of the synthesized nanofibers were meticulously analyzed using scanning electron microscopy, X-ray diffraction, and X-ray photoelectron spectroscopy. The electrochemical performance, including electrocatalytic activity towards glucose oxidation, was evaluated in detail using cyclic voltammetry and amperometric techniques with a standard electrochemical workstation.
Results The characterization results confirmed the successful fabrication of interconnected, one-dimensional CuO nanofibers composed of tightly packed nanoparticles. This unique architecture, characterized by a high aspect ratio, creates a continuous, porous network. This network serves as a specialized conduit for efficient electron transport and exposes a significantly increased density of nanoscale active sites for glucose electrocatalysis. Electrochemical tests demonstrated that the sensor exhibited exceptional catalytic activity for the direct oxidation of glucose in alkaline media. Quantitative performance metrics revealed a high sensitivity of 172.68 μA·L/(mmol·cm2), attesting to its strong signal response per unit concentration change. The sensor also possessed a wide linear detection range from 1 μmol/L to 20 mmol/L, covering both physiological and pathological glucose levels, with a remarkably low detection limit of 0.53 μmol/L. Furthermore, comprehensive assessments confirmed excellent selectivity against common interfering substances (such as ascorbic acid, uric acid, and dopamine), alongside outstanding repeatability, reproducibility, and long-term operational stability over weeks.
Conclusion This research establishes that the structural and catalytic properties of electrospun copper oxide nanofibers can be effectively tuned by modulating precursor concentrations, such as that of Cu(NO3)2 in the spinning solution. The constructed GCE/CuO-NFs/Nafion non-enzymatic glucose sensor integrates the advantages of nanofiber morphology—enhanced charge transfer and abundant active sites—to deliver a comprehensive and robust sensing profile. It successfully combines high sensitivity, a broad linear range, and a low detection threshold with reliable anti-interference capability and sustained stability. These collective attributes underscore the sensor's high practical utility and measurement accuracy. Consequently, this work not only provides a viable synthesis strategy for advanced metal oxide nanomaterials but also proves the significant potential and application value of such non-enzymatic architectures in the next generation of affordable, stable, and high-performance glucose monitoring devices for diabetes care.

Key words: electrospinning, CuO material, glucose, electrocatalytic oxidation, nanofiber, sensor, electrode material

CLC Number: 

  • TQ150

Fig.1

Schematic diagram of preparation process of CuO-NFs"

Fig.2

SEM images of surface morphologies of CuO nanofibers.(a) SEM images of Cu(NO3)2/PVP precursor nanofibers;(b) SEM images of CuO-NFs-2;(c) TEM images of CuO-NFs-2; (d) HRTEM images of CuO-NFs-2"

Fig.3

XRD pattern of CuO-NFs-2 and standard card of CuO"

Fig.4

XPS spectrum of CuO-NFs-2. (a)Full spectrum; (b) Cu 2p spectrum; (c) O 1s spectrum"

Fig.5

CV curves of Nafion/GCE and CuO-NFs-2/GCE"

Fig.6

CV curves of CuO-NFs modified electrodes with different Cu contents"

Fig.7

Relationship between electrochemical performance of CuO-NFs-2/GCE and scan rate and gtucose concentration. (a) CV curves at different scan rates; (b) Linear relationship between peak current and scan rate; (c) CV curves at different glucose concentrations"

Fig.8

Glucose sensing performance of CuO-NFs-2/GCE. (a) Current-time curve in full concentration range;(b) Current-time curve in low concentration range; (c) Linear fitting curves; (d)Response time"

Tab.1

Comparison of performance of CuO-NFs-2 with other glucose sensors"

电极材料 线性范围/
(μmol·L-1)
检出限/
(μmol·L-1)
灵敏度/
(μA·L·
mmol-1·cm-2)
参考
文献
Cu/CNTs 20~3 000 10 314 [10]
Cu-DA 20~20 000 20 223.17 [11]
Cu-MOF 0.06~5 000 0.0105 89 [12]
Cu@OMC 10~1 000 1.2 795.3 [13]
Cu-NGr 0.01~100 0.01 4 846.94 [14]
Cu2O/Cu@NPC 10 000~20 000 8 4.6 [15]
CuO-NFs-2 1~20 000 0.53 172.68 本文

Fig.9

Response current of CuO-NFs-2 to glucose and different interfering substances in 0.15 mol/L NaOH solution"

Tab.2

Intra-electrode repeatability test results"

循环次数 1 2 3 4 5
响应电流/μA 12.5 12.4 12.3 12.5 12.4

Tab.3

Inter-electrode reproducibility test results of different batches"

电极序号 1号 2号 3号 4号 5号
响应电流/μA 12.7 12.1 12.5 12.4 12.6

Tab.4

Long-term stability test results of electrode"

检测天数 第1天 第3天 第5天 第7天 第9天 第11天 第13天
电流保存
率/%
100.0 97.8 97.6 96.6 95.7 94.3 92.6
[1] 卢相月, 王延年, 李全忠. GM(1, 1)模型对不同范围血糖的预测性能分析[J]. 实用临床医药杂志, 2021, 25(9): 23-28, 36.
LU Xiangyue, WANG Yannian, LI Quanzhong. Analysis in performance of GM (1, 1) model in predicting blood glucose at different ranges[J]. Journal of Clinical Medicine in Practice, 2021, 25(9): 23-28, 36.
[2] YUE W, GUO Y J, WU J K, et al. A wireless, battery-free microneedle patch with light-cured swellable hydrogel for minimally-invasive glucose detection[J]. Nano Energy, 2024, 131: 110194.
doi: 10.1016/j.nanoen.2024.110194
[3] LAL R, MUGHERI A Q, SANGHA A A, et al. Investigation of anions effects on the morphology of NiO nanostructures and their non-enzymatic glucose sensing applications[J]. Science of Advanced Materials, 2021, 13(9): 1739-1747.
doi: 10.1166/sam.2021.4099
[4] BAN X, LI J M, SUN W W, et al. A highly sensitive non-enzymatic glucose electrode based on truncated octahedral CuO-modified Cu2O@Cu composite[J]. Microchemical Journal, 2024, 205: 111221.
doi: 10.1016/j.microc.2024.111221
[5] HASSAN M H, VYAS C, GRIEVE B, et al. Recent advances in enzymatic and non-enzymatic electrochemical glucose sensing[J]. Sensors, 2021, 21(14): 4672.
doi: 10.3390/s21144672
[6] GIZIŃSKI D, BRUDZISZ A, SANTOS J S, et al. Nanostructured anodic copper oxides as catalysts in electrochemical and photoelectrochemical reactions[J]. Catalysts, 2020, 10(11): 1338.
doi: 10.1016/j.talanta.2022.123926
[7] MARTINEZ-SAUCEDO G, CUEVAS-MUÑIZ F M, SANCHEZ-FRAGA R, et al. Cellulose microfluidic pH boosting on copper oxide non-enzymatic glucose sensor strip for neutral pH samples[J]. Talanta, 2023, 253: 123926.
[8] HODAEI H, ESMAEILI Z, ERFANI Y, et al. Preparation of biocompatible zein/gelatin/chitosan/PVA based nanofibers loaded with vitamin E-TPGS via dual-opposite electrospinning method[J]. Scientific Reports, 2024, 14(1): 23796.
doi: 10.1038/s41598-024-74865-9 pmid: 39394234
[9] SARI B, KAYNAK C. Parameters influencing electrospun nanofiber diameter of polylactide incorporated with cellulose nanofibrils and nano-crystals[J]. Journal of Thermoplastic Composite Materials, 2024, 37(11): 3570-3590.
doi: 10.1177/08927057241235650
[10] AMMARA S, SHAMAILA S, SHARIF R, et al. Uniform and homogeneous growth of copper nanoparticles on electrophoretically deposited carbon nanotubes electrode for nonenzymatic glucose sensor[J]. Acta Metallurgica Sinica (English Letters), 2016, 29(10): 889-894.
doi: 10.1007/s40195-016-0476-0
[11] VISWANATHAN P, PARK J, KANG D K, et al. Polydopamine-wrapped Cu/Cu(II) nano-heterostructures: an efficient electrocatalyst for non-enzymatic glucose detection[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2019, 580: 123689.
doi: 10.1016/j.colsurfa.2019.123689
[12] SUN Y M, LI Y X, WANG N, et al. Copper-based metal-organic framework for non-enzymatic electrochemical detection of glucose[J]. Electroanalysis, 2018, 30(3): 474-478.
doi: 10.1002/elan.v30.3
[13] YANG H, GE Y K, WEN G, et al. Synthesis of copper nanoparticles in the ordered mesoporous carbon (Cu@OMC) for glucose detection[J]. Journal of Electronic Materials, 2022, 51(9): 5005-5014.
doi: 10.1007/s11664-022-09749-7
[14] SHABNAM L, FAISAL S N, ROY A K, et al. Doped graphene/Cu nanocomposite: a high sensitivity non-enzymatic glucose sensor for food[J]. Food Chemistry, 2017, 221: 751-759.
doi: S0308-8146(16)31956-2 pmid: 27979268
[15] XU Weiqin, HE Shan, LIN Chuncheng, et al. MOF-derived Cu2O/Cu NPs on N-doped porous carbon as a multifunctional sensor for mercury(Ⅱ) and glucose with wide detection range[J]. Chinese Journal of Structural Chemistry, 2020, 39(8): 1522-1530.
doi: 10.14102/j.cnki.0254-5861.2011-2644
[1] LIANG Zhi, JI Kangrui, LI Zhangcheng, HE Yu, WANG Can, HOU Chong. Preparation of thermochromic fiber membrane and its temperature-sensing performance [J]. Journal of Textile Research, 2025, 46(11): 1-8.
[2] FAN Shuyue, WANG Zhaohui, LIU Huanhuan, YE Qinwen. Research status and development of intelligent fall injury protection clothing for the elderly [J]. Journal of Textile Research, 2025, 46(11): 255-263.
[3] SHU Zuju, YUAN Ziyu, ZHOU Fei, HUANG Xiuwen, WANG Quan, FANG Xianlong, CAO Meixue. Preparation of curcumin-loaded core-shell nanofibrous membranes and their sustained release performance [J]. Journal of Textile Research, 2025, 46(11): 26-33.
[4] LIU Fei, LIU Lu, ZHENG Zhichao, LIU Junhong, WU Dequn, JIANG Qiuran. Preparation and properties of self-adhesive Zein-based ultrafine fibrous mats [J]. Journal of Textile Research, 2025, 46(11): 34-42.
[5] WANG Wenshu, WANG Jiangang, LI Hanyu, WANG Chunhong, TAN Xiaoxuan, WANG Huiquan. Preparation and hemostatic performance of alkylated chitosan/polyvinyl alcohol nanofiber membranes [J]. Journal of Textile Research, 2025, 46(11): 52-60.
[6] LIU Chu, ZHANG Xianghui, ZHANG Zhaohua, NIU Wenxin, WANG Shitan. Current research on neural transmission and brain region response of skin wet sensation [J]. Journal of Textile Research, 2025, 46(10): 247-254.
[7] WU Leran, WU Nihuan, LI Lingeng, ZHONG Yi, CHEN Hongpeng, TANG Nan. Preparation and performance of antibacterial nanofiber membrane loaded with magnolol [J]. Journal of Textile Research, 2025, 46(10): 30-38.
[8] ZHANG Hongxia, QI Fangxi, ZHAO Jing, XING Yi, LÜ Zhijia. One-piece molding preparation of fabric-based sensors with honeycomb-structured dielectric layers and their properties [J]. Journal of Textile Research, 2025, 46(10): 86-94.
[9] TANG Chunxia, WANG Yifan, MAO Yunshan, LIU Jian, FU Shaohai. Progress in structural design of cellulose-based composites for electromagnetic interference shielding [J]. Journal of Textile Research, 2025, 46(09): 36-45.
[10] MAO Ze, GAO Jun, LING Lei, WU Dingsheng, TAO Yun, ZHANG Chun, LI Shen, FENG Quan. Preparation and Cr6+ adsorption of polyacrylonitrile/polypyrrole nanofiber membrane [J]. Journal of Textile Research, 2025, 46(09): 57-65.
[11] FU Lin, QIAN Jianhua, SHAN Jiangyin, LIN Ling, WEI Mengrong, WENG Kexin, WU Xiaorui. Preparation and performance of silver nanowires/polyurethane nanofiber membrane flexible sensor [J]. Journal of Textile Research, 2025, 46(09): 74-83.
[12] MENG Ziyu, LU Wenqi, ZHANG Song, MIAO Shenghong, HUANG Fuhua, PENG Laihu. Position detection method of permanent magnet synchronous motor for weft storage device based on Kalman feedforward fitting observer with Hall sensor [J]. Journal of Textile Research, 2025, 46(09): 232-241.
[13] DU Jing, ZHOU Anqi, SHI Yingxin, WANG Yue, LIU Qixia, SHAN Haoru, YU Caijiao, GE Jianlong. Research progress in activated micro/nano-carbon fibers for adsorption of volatile organic compounds [J]. Journal of Textile Research, 2025, 46(09): 250-257.
[14] QUAN Ying, ZHANG Aiqin, ZHANG Man, LIU Shuqiang, ZHANG Yujing. Fabrication and characterization of wearable flexible strain sensors based on three-dimensional braided structures [J]. Journal of Textile Research, 2025, 46(08): 136-144.
[15] LIU Jian, PAN Shanshan, LIU Yongru, YIN Zhaosong, REN Kangjia, ZHAO Qinghao. Design and optimization of multi-tip serrated electrospinning nozzle [J]. Journal of Textile Research, 2025, 46(08): 217-225.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!