3D-printed epidermal sweat microfluidic systems with integrated microcuvettes for precise spectroscopic and fluorometric biochemical assays

Da Som Yang, Yixin Wu, Evangelos E. Kanatzidis, Raudel Avila, Mingyu Zhou, Yun Bai, Shulin Chen, Yurina Sekine, Joohee Kim, Yujun Deng, Hexia Guo, Yi Zhang, Roozbeh Ghaffari, Yonggang Huang, John A. Rogers*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Systems for capture, storage and analysis of eccrine sweat can provide insights into physiological health status, quantify losses of water, electrolytes, amino acids and/or other essential species, and identify exposures to adverse environmental species or illicit drugs. Recent advances in materials and device designs serve as the basis for skin-compatible classes of microfluidic platforms and in situ colorimetric assays for precise assessments of sweat rate, sweat loss and concentrations of wide-ranging types of biomarkers in sweat. This paper presents a set of findings that enhances the performance of these systems through the use of microfluidic networks, integrated valves and microscale optical cuvettes formed by three dimensional printing in hard/soft hybrid materials systems, for accurate spectroscopic and fluorometric assays. Field studies demonstrate the capability of these microcuvette systems to evaluate the concentrations of copper, chloride, and glucose in sweat, along with the pH of sweat, with laboratory-grade accuracy and sensitivity.

Original languageEnglish (US)
Pages (from-to)4992-5003
Number of pages12
JournalMaterials Horizons
Volume10
Issue number11
DOIs
StatePublished - Aug 21 2023

ASJC Scopus subject areas

  • Mechanics of Materials
  • General Materials Science
  • Electrical and Electronic Engineering
  • Process Chemistry and Technology

Fingerprint

Dive into the research topics of '3D-printed epidermal sweat microfluidic systems with integrated microcuvettes for precise spectroscopic and fluorometric biochemical assays'. Together they form a unique fingerprint.

Cite this