Skip to main navigation Skip to search Skip to main content

Skin-interfaced microfluidic biosensors for colorimetric measurements of the concentrations of ketones in sweat

  • Yunyun Wu
  • , Xinming Li
  • , Kenneth E. Madsen
  • , Haohui Zhang
  • , Soongwon Cho
  • , Ruihao Song
  • , Ravi F. Nuxoll
  • , Yirui Xiong
  • , Jiaqi Liu
  • , Jingyuan Feng
  • , Tianyu Yang
  • , Kaiqing Zhang
  • , Alexander J. Aranyosi
  • , Donald E. Wright
  • , Roozbeh Ghaffari
  • , Yonggang Huang
  • , Ralph G. Nuzzo
  • , John A. Rogers

Research output: Contribution to journalArticlepeer-review

Abstract

Ketones, such as beta-hydroxybutyrate (BHB), are important metabolites that can be used to monitor for conditions such as diabetic ketoacidosis (DKA) and ketosis. Compared to conventional approaches that rely on samples of urine or blood evaluated using laboratory techniques, processes for monitoring of ketones in sweat using on-body sensors offer significant advantages. Here, we report a class of soft, skin-interfaced microfluidic devices that can quantify the concentrations of BHB in sweat based on simple and low-cost colorimetric schemes. These devices combine microfluidic structures and enzymatic colorimetric BHB assays for selective and accurate analysis. Human trials demonstrate the broad applicability of this technology in practical scenarios, and they also establish quantitative correlations between the concentration of BHB in sweat and in blood. The results represent a convenient means for managing DKA and aspects of personal nutrition/wellness.

Original languageEnglish (US)
Pages (from-to)4288-4295
Number of pages8
JournalLab on a chip
Volume24
Issue number18
Early online date2024
DOIs
StatePublished - Aug 28 2024

ASJC Scopus subject areas

  • Bioengineering
  • Biochemistry
  • General Chemistry
  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'Skin-interfaced microfluidic biosensors for colorimetric measurements of the concentrations of ketones in sweat'. Together they form a unique fingerprint.

Cite this