Nanosensor-Based Flexible Electronic Assisted with Light Fidelity Communicating Technology for Volatolomics-Based Telemedicine

纳米传感器 远程医疗 可穿戴计算机 忠诚 可穿戴技术 纳米技术 高保真 持续监测 电信 材料科学 计算机科学 人机交互 嵌入式系统 电气工程 工程类 运营管理 医疗保健 经济 经济增长
作者
Han Jin,Junkan Yu,Shujing Lin,Shan Gao,Hao Yang,Hossam Haick,Changzhou Hua,Shengwei Deng,Tingqiang Yang,Yueli Liu,Wenfeng Shen,Shouxin Zhang,Xiaowei Zhang,Shan Shan,Tao Ren,Liwei Wang,Waifung Cheung,Wanlung Kam,Jianmin Miao,Di Chen,Daxiang Cui
出处
期刊:ACS Nano [American Chemical Society]
卷期号:14 (11): 15517-15532 被引量:23
标识
DOI:10.1021/acsnano.0c06137
摘要

Telemedicine provides an attractive vision for tele-monitoring human health conditions and, thus, offers the opportunity for timely preventing chronic disease. A key limitation of promoting telemedicine in clinic application is the lack of a noninvasive med-tech and effective monitoring platform, which should be wearable and capable of high-performance tele-monitoring of health risk. Here we proposed a volatolomics-based telemedicine for continuously and noninvasively assessing human health status through continuously tracking the variation of volatile markers derived from human breath or skin. Particularly, a nanosensor-based flexible electronic was specifically designed to serve as a powerful platform for implementing the proposed cost-effective healthcare. An all-flexible and highly packed makeup (all functional units were integrated in a 2*2*0.19 cm3 plate) enables an electronic, compact configuration and the capability of resisting negative impact derived from customers' daily movement. Notably, the nanosensor-based electronic demonstrates high specificity, quick response rate (t90% = 4.5 s), and desirable low detection limit (down to 0.117 ppm) in continuous tele-monitoring chronic-disease-related volatile marker (e.g., acetone). Assisted by the power saved light fidelity (Li-Fi) communicating technology, a clinic proof on the specifically designed electronic for noninvasively and uninterrupted assessing potential health risk (e.g., diabetics) is successfully implemented, with the accuracy of around 81%. A further increase in the accuracy of prewarning is predicted by excluding the impact of individual differences such as the gender, age, and smoking status of the customer. These promising pilot results indicate a bright future for the tailor-made nanosensing-device-supported volatolomics-based telemedicine in preventing chronic diseases and increasing patients' survival rate.
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