Affiliation:
1. Shanghai Jiao Tong University
2. Shanghai JiaoTong University School of Medicine
Abstract
Abstract
In this research, we designed and implemented a small, convenient, and non-invasive paper-based microfluidic sweat sensor that can simultaneously detect multiple key biomarkers in human sweat. The origami structure of the chip includes colorimetric and electrochemical sensing regions. Different colorimetric sensing regions are modified with specific chromogenic reagents to selectively identify glucose, lactate, uric acid, and magnesium ions in sweat, as well as its pH value. The regions of electrochemical sensing identify cortisol in sweat by molecular imprinting. The entire chip is composed of hydrophilic- and hydrophobically-treated filter paper, and 3D microfluidic channels are constructed by using folding paper. The thread-based channels formed after hydrophilic and hydrophobic modifications are used to control the rate of flow of sweat, which in turn can be used to control the sequence of reactions in the differently colored regions of development to ensure that signals of the best color can be captured simultaneously in the colorimetric sensing regions. Finally, the results of on-body experiments verified the reliability of the proposed sweat sensor and its potential for the non-invasive identification of a variety of sweat biomarkers.
Publisher
Research Square Platform LLC
Reference43 articles.
1. Three-dimensional paper-based microfluidic electrochemical integrated devices (3D-PMED) for wearable electrochemical glucose detection;Cao Q;RSC Advances,2019
2. Hannah, S., Gleskova, H., Matuska, S. & Hudec, R. in 2018 ELEKTRO. 1–4.
3. Biomass polymer-assisted fabrication of aerogels from MXenes with ultrahigh compression elasticity and pressure sensitivity;Hu Y;Journal of Materials Chemistry A,2019
4. Microgel-Based Devices as Wearable Capacitive Electronic Skins for Monitoring Cardiovascular Risks;Xia X;Advanced Materials Technologies,2020
5. Integration of interstitial fluid extraction and glucose detection in one device for wearable non-invasive blood glucose sensors;Yao Y;Biosensors and Bioelectronics,2021
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献