Battery-free, skin-interfaced microfluidic/electronic systems for simultaneous electrochemical, colorimetric, and volumetric analysis of sweat

Amay J. Bandodkar(Northwestern University), Philipp Gutruf(Northwestern University), Jungil Choi(Northwestern University), KunHyuck Lee(Northwestern University), Yurina Sekine(Japan Atomic Energy Agency), Jonathan T. Reeder(Northwestern University), William J. Jeang(Northwestern University), Alexander J. Aranyosi(Northwestern University), Stephen P. Lee(Northwestern University), Jeffrey B. Model(Northwestern University), Roozbeh Ghaffari(Northwestern University), Chun-Ju Su(Northwestern University), John P. Leshock(Northwestern University), Tyler R. Ray(Northwestern University), Anthony Verrillo(Northwestern University), Kyle Thomas(Washington University in St. Louis), Vaishnavi Krishnamurthi(RMIT University), Seungyong Han(Ajou University), Jeonghyun Kim(Kwangwoon University), Siddharth Krishnan(Northwestern University), Tao Hang(Shanghai Jiao Tong University), John A. Rogers(Northwestern University)
Science Advances
January 4, 2019
Cited by 728Open Access
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Abstract

Wearable sweat sensors rely either on electronics for electrochemical detection or on colorimetry for visual readout. Non-ideal form factors represent disadvantages of the former, while semiquantitative operation and narrow scope of measurable biomarkers characterize the latter. Here, we introduce a battery-free, wireless electronic sensing platform inspired by biofuel cells that integrates chronometric microfluidic platforms with embedded colorimetric assays. The resulting sensors combine advantages of electronic and microfluidic functionality in a platform that is significantly lighter, cheaper, and smaller than alternatives. A demonstration device simultaneously monitors sweat rate/loss, pH, lactate, glucose, and chloride. Systematic studies of the electronics, microfluidics, and integration schemes establish the key design considerations and performance attributes. Two-day human trials that compare concentrations of glucose and lactate in sweat and blood suggest a potential basis for noninvasive, semi-quantitative tracking of physiological status.


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