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作 者:卢东星 储瑶 廖师琴[2] 魏取福[1] 王清清[1,2] Lu Dongxing;Chu Yao;Liao Shiqin;Wei Qufu;Wang Qingqing(Key Laboratory of Eco-Textiles(Jiangnan University),Ministry of Education,Wuxi 214122;Jiangxi Center for Modern Apparel Engineering and Technology,Jiangxi Institute of Fashion Technology,Nanchang 330201)
机构地区:[1]生态纺织教育部重点实验室(江南大学),无锡214122 [2]江西服装学院江西省现代服装工程技术研究中心,南昌330201
出 处:《化工新型材料》2022年第11期272-277,共6页New Chemical Materials
基 金:国家自然科学基金(51603090);中国博士后科学基金资助项目(2018M630516);中央高校基本科研业务费专项资金资助项目(JUSRP51907A)。
摘 要:采用壳聚糖(CS)对棉织物表面进行改性,后浸渍在氧化石墨烯(GO)分散液中,再经连二亚硫酸钠还原得到具有良好导电性的织物基应变传感器。研究浸渍次数与传感器电阻的关系,传感器在不同形变条件下传感性能以及在人体关节活动中应用。结果表明:经过8次GO浸渍还原处理,传感器电阻降至310.5Ω;织物基传感器拥有较高的灵敏度,在形变范围小于8.3%范围内灵敏度可达24.6;在10%、20%、30%形变条件下能保持较好的稳定性与重复性,在2000次循环测试中表现出优异的耐用性,可用于人体各关节活动监测。Chitosan(CS)was used to modify the surface of cotton fabric,and then the fabric was immersed in graphene oxide(GO)dispersion,next,reduced by sodium dithionite to obtain a fabric-based strain sensor with good conductivity.The relationship between the number of immersion and the resistance of the sensor,as well as the sensor's sensing performance under different deformation conditions were studies;furthermore,its application in human joint activities was discussed.The results showed that after 8 times of GO immersion reduction treatment,the sensor resistance was reduced to 310.5Ωand the fabric-based sensor had high sensitivity.The sensitivity could reach to 24.6 within the deformation range of less than 8.3%.When deformation was at 10%,20%,and 30%,it could retain good a stability and repeatability and had an excellent durability in 2000 cycles of testing.It might be used for human body joint monitoring.
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