Autonomous wearable sweat rate monitoring based on digitized microbubble detection.
Autonomous wearable sweat rate monitoring based on digitized microbubble detection.
复制标题
基于数字化微泡检测的自主可穿戴出汗率监测。
DOI:
10.1039/d2lc00670g
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发表时间:
2022-11-08
期刊:
影响因子:
6.1
通讯作者:
Emaminejad, Sam
中科院分区:
文献类型:
--
作者:
Lin, Haison G.;Yu, Wenzhuo;De Dios Suarez, Jorge Emiliano;Athavan, Harish;Wang, Yibo;Yeung, Christopher;Lin, Shuyu;Sankararaman, Sriram;Milla, Carlos;Emaminejad, Sam
Advancements in wearable bioanalytical microsystems have enabled diurnal and (semi)continuous monitoring of physiologically-relevant indices that are accessible through probing sweat. To deliver an undistorted and physiologically-meaningful interpretation of these readings, tracking the sweat secretion rate is essential, because it allows for calibrating the biomarker readings against variations in sweat secretion and inferring the body’s hydration/electrolyte homeostasis status. To realize an autonomous wearable solution with intrinsically high signal-to-noise ratio sweat rate sensing capabilities, here, we devise a digitized microbubble detection mechanism—delivered by a hybrid microfluidic/electronic system with a compact footprint. This mechanism is based on the intermittent generation of microliter-scale bubbles via electrolysis and the instantaneous measurement of their time-of-flight (and thus, velocity) via impedimetric sensing. In this way, we overcome the limitations of previously proposed sweat rate sensing modalities that are inherently susceptible to non-targeted secretion characteristics (pH, conductivity, and temperature), constrained by volume, or lack system integration for autonomous on-body operation. By deploying our solution in human subject trials, we validate the utility of our solution for seamless monitoring of exercise- and iontophoretically-induced sweat secretion profiles. A digitized microbubble detection mechanism delivered by a hybrid microfluidic/electronic system is devised for autonomous wearable high signal-to-noise ratio sweat rate monitoring.
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