A programmable epidermal microfluidic valving system for wearable biofluid management and contextual biomarker analysis

Haisong Lin, Jiawei Tan, Jialun Zhu, Shuyu Lin, Yichao Zhao, Wenzhuo Yu, Hannaneh Hojaiji, Bo Wang, Siyang Yang, Xuanbing Cheng, Zhaoqing Wang, Eric Tang, Christopher Yeung and Sam Emaminejad ()
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Haisong Lin: University of California, Los Angeles
Jiawei Tan: University of California, Los Angeles
Jialun Zhu: University of California, Los Angeles
Shuyu Lin: University of California, Los Angeles
Yichao Zhao: University of California, Los Angeles
Wenzhuo Yu: University of California, Los Angeles
Hannaneh Hojaiji: University of California, Los Angeles
Bo Wang: University of California, Los Angeles
Siyang Yang: University of California, Los Angeles
Xuanbing Cheng: University of California, Los Angeles
Zhaoqing Wang: University of California, Los Angeles
Eric Tang: University of California, Los Angeles
Christopher Yeung: University of California, Los Angeles
Sam Emaminejad: University of California, Los Angeles

Nature Communications, 2020, vol. 11, issue 1, 1-12

Abstract: Abstract Active biofluid management is central to the realization of wearable bioanalytical platforms that are poised to autonomously provide frequent, real-time, and accurate measures of biomarkers in epidermally-retrievable biofluids (e.g., sweat). Accordingly, here, a programmable epidermal microfluidic valving system is devised, which is capable of biofluid sampling, routing, and compartmentalization for biomarker analysis. At its core, the system is a network of individually-addressable microheater-controlled thermo-responsive hydrogel valves, augmented with a pressure regulation mechanism to accommodate pressure built-up, when interfacing sweat glands. The active biofluid control achieved by this system is harnessed to create unprecedented wearable bioanalytical capabilities at both the sensor level (decoupling the confounding influence of flow rate variability on sensor response) and the system level (facilitating context-based sensor selection/protection). Through integration with a wireless flexible printed circuit board and seamless bilateral communication with consumer electronics (e.g., smartwatch), contextually-relevant (scheduled/on-demand) on-body biomarker data acquisition/display was achieved.

Date: 2020
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DOI: 10.1038/s41467-020-18238-6

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