Journal of Jilin University(Engineering and Technology Edition) ›› 2026, Vol. 56 ›› Issue (1): 265-274.doi: 10.13229/j.cnki.jdxbgxb.20240548

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Wearable temperature sensor based on conductive nano-modified textile fiber materials

Zhi-gang LI1,2(),Rui-xin WANG1,2,Zhang WEN3,Zi-long YANG1,2   

  1. 1.College of Information Science and Engineering,Northeastern University,Shenyang 110819,China
    2.Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology,Qinhuangdao 066004,China
    3.Daqing Oilfield Co. ,Ltd. ,Petro China,Daqing 163453,China
  • Received:2024-05-17 Online:2026-01-01 Published:2026-02-03

Abstract:

This study employs a simple spinning(dry-jet wet spinning) method to spin graphene and carbon black mixed with cellulose into temperature-responsive fibers, proposing a novel approach for fabricating wearable temperature sensors using graphene and carbon black fibers. The characteristics of this sensor include high tensile strength, short response time(6.5 s), and good temperature recovery time(25.5 s). After multiple mechanical deformations of the sensor, its performance remains stable. The wearable temperature sensor is mixed into fabrics through textile technology and can be worn by people to monitor skin temperature and has strong anti-interference properties. This research indicates that wearable temperature sensor based on conductive nano-modified textile fiber materials has great value and future in application.

Key words: wearable temperature sensor, fiber-based electronic device, graphene-enhanced, fast response

CLC Number: 

  • TP273

Fig.1

Flow chart of temperature sensor preparation"

Fig.2

Spectral characteristic analysis of fiber material"

Fig.3

SEM image of fiber material"

Table 1

Cross-sectional area measurement results for all samples"

测试样本及平均值Xˉ/μm2σ/μm2RSD/%
测试 15474.8469.38.6
测试 23527.9470.38.1
测试 34286.5451.88.8
平均值4429.7463.88.5

Fig.4

Basic characteristics of fiber materials(measurements were taken at room temperature of 20 °C)"

Table 2

Summary of tensile testing results for all samples"

测试样本

极限抗拉

强度/MPa

极限抗拉强度拉伸形变量/%
测试 1109.715.40
测试272.606.04
测试 382.125.52
平均值88.145.65

Fig.5

Curve of sensor resistance and current changes with temperature under a constant voltage of 30 V"

Fig.6

Characteristics of temperature sensor based on fiber material(Measurements were taken at temperature of 20 ℃ and a constant voltage of 30 V)"

Fig.7

Performance of fiber-based temperature sensor under external mechanical deformation(measurements were taken under constant voltage of 30 V)"

Fig.8

Influence of pressure on measurement"

Fig.9

Detection of changes of body temperature during typing and exercises(Measurements were taken at a constant voltage of 30 V and a room temperature of 20 ℃)"

Fig.10

Response current of the device to skin-contact temperature(Measurements were taken at a constant voltage of 30 V and a room temperature of 20 ℃)"

[1] Liu W, Tian X, Yang D, et al. Evaluation of individual thermal sensation at raised indoor temperatures based on skin temperature build[J]. Building and Environment, 2021, 188(15): No.107486.
[2] El-Radhi A S. Fever in Common Infectious Diseases[M]. Clinical Manual of Fever in Children, 2009: 81-135..
[3] Korman P, Straburzyńska-Lupa A, Romanowski W, et al. Temperature changes in rheumatoid hand treated with nitrogen vapors and cold air[J]. Rheumatology International, 2012, 32: 2987-2992.
[4] Huang Y, Zhou M, Yuan F. Clinical features and risk factors of fever in acute gouty arthritis[J]. BioMed Research International, 2022: No.8798838.
[5] Knapp J P, Kakish J E, Bridle B W, et al. Tumor temperature: friend or foe of virus-based cancer immunotherapy[J]. Biomedicines, 2022, 10(8): No.2024.
[6] Wu Y, Zhang Z, Liu H, et al. Age differences in thermal comfort and physiological responses in thermal environments with temperature ramp build[J]. Building and Environment,2023, 228(15):No.109887.
[7] Chugh V, Basu A, Kaushik A, et al. E-skin–based advanced wearable technology for health management[J]. Current Research in Biotechnology,2023,5:No.100129.
[8] Yang Y, Cui T, Li D, et al. Breathable electronic skins for daily physiological signal monitoring[J].Nano-micro Lett, 2022, 14(1): No.161.
[9] Deng Z, Guo L, Chen X, et al. Smart wearable systems for health monitoring[J]. Sensors, 2023, 23: No. 2479.
[10] Tarar A A, Mohammad U, Srivastava S K. Wearable skin sensors and their challenges: a review of transdermal, optical, and mechanical sensors[J]. Biosensors, 2020,10(6): No.56.
[11] Lin M, Zheng Z, Yang L, et al. A high-performance, sensitive, wearable multifunctional sensor based on rubber/CNT for human motion and skin temperature detection[J]. Advanced Material,2022, 34:No. 2107309.
[12] Hu X, Xia X X, Huang S C, et al. Development of adhesive and conductive resilin-based hydrogels for wearable sensors[J]. Biomacromolecules, 2019, 20(9): 3283-3293.
[13] Lin X Z, Xue H, Li F, et al.All-nanofibrous ionic capacitive pressure sensor for wearable applications[J].ACS Applied Materials & Interfaces, 2022,14 (38): 43844-43852.
[14] Zhang L, Kumar K S, He H, et al. Fully organic compliant dry electrodes self-adhesive to skin for long-term motion-robust epidermal biopotential monitoring[J]. Nature Communications, 2020, 11: No. 4683.
[15] Mahsa-Hamedi S, Samaneh-Kordrostami Z. Fabrication of a high-sensitive wearable temperature sensor with an improved response time based on PEDOT: PSS/rGO on a flexible kapton substrate[J]. Journal of Materials Science: Materials in Electronics, 2022, 33(9): 6954-6968.
[16] Li X, Chen S, Peng Y, et al. Materials, preparation strategies, and wearable sensor applications of conductive fibers: a review[J]. Sensors,2022,22(8):No.3028.
[17] Chen Y, Hart J, Suh M, et al. Electromechanical characterization of commercial conductive yarns for E-Textiles[J]. Textiles, 2023, 3: 294-306.
[18] 余龙. 碳纳米管纱线的制备与表面功能化及在智能纺织品领域的应用[D]. 无锡: 江南大学纺织科学与工程学院, 2023.
Yu Long. Preparation and surface functionalization of carbon nanotube yarn and its application in intelligent textile field[D]. Wuxi: College of Textile Science and Engineering, Jiangnan University, 2023.
[19] Zhu Q, Wang Z, Zeng H, et al. Effects of graphene on various properties and applications of silicone rubber and silicone resin[J]. Composites Part A: Applied Science and Manufacturing, 2021, 142: No.106240.
[20] Liu J, Wang Y, Li X, et al. Graphene-based wearable temperature sensors: a review[J]. Nanomaterials,2023, 13(16): No.2339.
[21] Tiwari S K, Sahoo S, Wang N, et al.Graphene research and their outputs: status and prospect[J]. Journal of Science: Advanced Materials and Devices,2020, 5(1): 10-29.
[22] Sharma P, Karol V, Kaur S, et al. Fabrication and Interfacial Bonding of CNT-reinforced Metal Matrix Composites[M]. Metal Matrix Composites: A Modern Approach to Manufacturing. Bentham Science Publishers, 2024: 116-146.
[23] Yin Q, Hu Y Y, Qin Y T, et al. Construction of polyimide films with excellent dimensional stability and toughness via incorporating point-to-face multi-coordination structure[J]. Composites Part B: Engineering, 2021, 208: No.108566.
[24] 张春艳. 多层纤维增强环氧复合材料层状结构设计与电磁屏蔽效能简化预测[D]. 太原: 中北大学材料科学与工程学院, 2024.
Zhang Chun-yan. Layered structure design and simplified prediction of electromagnetic shielding effectiveness of multilayer fiber reinforced epoxy composites[D]. Taiyuan:College of Materials Science and Engineering,North University of China, 2024.
[25] Li Y, Zhou Z, He Y. Solid lubrication system and its plasma surface engineering: a review[J]. Lubricants,2023, 11: No.473.
[26] Liu J, Bao S, Wang X. Applications of graphene-based materials in sensors: a review[J]. Micromachines, 2022, 13(2): No.184.
[27] Hou N, Zhao Y, Jiang R, et al. Flexible piezoresistive sensor based on surface modified dishcloth fibers for wearable electronics device[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2022,650: No.129638.
[28] 石洪富, 邓自刚, 柯志昊, 等. 平板式永磁电动悬浮系统设计与实验研究[J]. 电工技术学报, 2024, 39(5): 1270-1283.
Shi Hong-fu, Deng Zi-gang, Ke Zhi-hao, et al. Design and experimental study of flat permanent magnet electric suspension system[J]. Journal of Electrical Technology, 2024, 39(5): 1270-1283.
[29] Wang Y, Luke J, Privitera A, et al. The critical role of the donor polymer in the stability of high-performance non-fullerene acceptor organic solar cells[J]. Joule, 2023, 7(4): 810-829.
[30] Cui B, Pan F, Ding B, et al. Fiber aggregation in nanocomposites: aggregation degree and its linear relation with the percolation threshold[J]. Materials, 2023, 16(1): No.15.
[31] Jeong S Y, Lee J U, Hong S M, et al. Highly skin-conformal laser-induced graphene-based human motion monitoring sensor[J]. Nanomaterials, 2021, 11:No.951.
[32] Boey J Y, Lee C K, Tay G S. Factors affecting mechanical properties of reinforced bioplastics: a review[J]. Polymers, 2022, 14(18): No.3737.
[33] Tang N, Zheng Y, Jiang X, et al. Wearable sensors and systems for wound healing-related ph and temperature detection[J]. Micromachines,2021,12(4):No.430.
[34] Zhang T, Zhang M, Shen Y, et al. Mitigating the damage of ultra-high performance concrete at elevated temperatures using synergistic flame-retardant polymer fibres[J]. Cement and Concrete Research, 2022,158: No.10683
[35] Gangwar R K, Kumari S, Pathak A K, et al. Optical fiber based temperature sensors: a review[J]. Optics,2023, 4(1): 171-197.
[36] Shuvo I I, Shah A, Dagdeviren C. Electronic textile sensors for decoding vital body signals: state-of-the-art review on characterizations and recommendations[J]. Advanced Intelligent Systems, 2022, 4(4): No. 2100223.
[37] Wei L, Wang S, Shan M, et al. Conductive fibers for biomedical applications[J]. Bioactive Materials, 2023, 22: 343-364.
[38] Mohamed A, Tonkonogovas A, Stankevičius A, et al. Fabrication of high-strength graphene oxide/carbon fiber nanocomposite membranes for hydrogen separation applications[J]. Process Safety and Environmental Protection, 2023, 172: 941-949.
[39] Wu S. An overview of hierarchical design of textile-based sensor in wearable electronics[J]. Crystals,2022, 12: No.555.
[40] Li X, Cui T, Li X, et al. Wearable temperature sensors based on reduced graphene oxide films[J]. Materials, 2023, 16(17): No.5952.
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