Kalasin Surachate, Sangnuang Pantawan, Surareungchai Werasak
Faculty of Science and Nanoscience & Nanotechnology Graduate Program, King Mongkut's University of Technology, Thonburi 10140, Thailand.
Pilot Plant Research and Development Laboratory, King Mongkut's University of Technology, Thonburi 10150, Thailand.
ACS Biomater Sci Eng. 2021 Jan 11;7(1):322-334. doi: 10.1021/acsbiomaterials.0c01459. Epub 2020 Dec 23.
Wearable human sweat sensors have offered a great prospect in epidermal detection for self-monitoring and health evaluation. These on-body epidermal sensors can be integrated with the Internet of Things (IoT) as augmented diagnostics tools for telehealth applications, especially for noninvasive health monitoring without using blood contents. One of many great benefits in utilizing sweat as biofluid is the capability of instantaneously continuous diagnosis during normal day-to-day activities. Here, we revealed a textile-based sweat sensor selective for perspired creatinine that is prepared by coating poly(vinyl alcohol) (PVA)-Cu-poly(3,4-ethylenedioxythiophene) polystyrenesulfonate (PEDOT:PSS) and cuprous oxide nanoparticles on stretchable nylon, is equipped with heart rate monitoring and a satellite-communication device to locate wearers, and incorporates machine learning to predict the levels of environmental heat stress. Electrochemical impedance spectroscopy (EIS) was used to investigate different charge-transfer resistances of PVA and PEDOT:PSS with cuprous and cuprite ions induced by single-chain and ionic cross-linking. Furthermore, density function theory (DFT) studies predicted the catalytic binding of sweat creatinine with the sensing materials that occurred at thiophene rings. The hybrid sensor successfully achieved 96.3% selectivity efficacy toward the determination of creatinine contents from 0.4 to 960 μM in the presence of interfering species of glucose, urea, uric acid, and NaCl as well as retained 92.1% selectivity efficacy in the existence of unspecified human sweat interference. Ultimately, the hand-grip portable device can offer the great benefit of continuous health monitoring and provide the location of any wearer. This augmented telemedicine sensor may represent the first remote low-cost and artificial-intelligence-based sensing device selective for heat-stress sweat creatinine.
可穿戴式人体汗液传感器在用于自我监测和健康评估的表皮检测方面展现出了广阔前景。这些体表表皮传感器可与物联网(IoT)集成,作为远程医疗应用的增强诊断工具,特别是用于无需检测血液成分的无创健康监测。利用汗液作为生物流体的众多显著优势之一是能够在日常正常活动期间进行即时连续诊断。在此,我们展示了一种基于纺织品的汗液传感器,它对汗液中的肌酐具有选择性,该传感器通过在可拉伸尼龙上涂覆聚乙烯醇(PVA)-铜-聚(3,4-乙撑二氧噻吩)聚苯乙烯磺酸盐(PEDOT:PSS)和氧化亚铜纳米颗粒制备而成,配备有心率监测和卫星通信设备以定位佩戴者,并结合机器学习来预测环境热应激水平。采用电化学阻抗谱(EIS)研究了由单链和离子交联诱导的PVA以及PEDOT:PSS与亚铜离子和铜离子的不同电荷转移电阻。此外,密度泛函理论(DFT)研究预测了汗液肌酐与传感材料在噻吩环处发生的催化结合。该混合传感器在存在葡萄糖、尿素、尿酸和氯化钠等干扰物质的情况下,对0.4至960μM肌酐含量的测定成功实现了96.3%的选择性效率,并且在存在未指定的人体汗液干扰时仍保持92.1%的选择性效率。最终,这种手持式便携式设备能够带来连续健康监测的巨大益处,并提供任何佩戴者的位置信息。这种增强型远程医疗传感器可能代表了首个基于远程、低成本且基于人工智能的对热应激汗液肌酐具有选择性的传感设备。