A Fully Integrated Wearable Sensor for Real Time Monitoring of Multiple Sweat Liver Disease Biomarkers

H Hao Zhao X Xieli Zhang (State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin P. R. China) A Adnan Zameer (State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin P. R. China) Y Yong Xia (School of Medical Engineering) J Jianwei Wang D Dehai Yu S Samuel M. Mugo (Physical Science Department MacEwan University Edmonton Alberta Canada) M Michael J. Serpe (Department of Chemistry University of Alberta Edmonton Saskatchewan Canada) H Hongda Wang W Wenrui Qu (Department of Hand Surgery The Second Hospital of Jilin University Changchun P. R. China) Q Qiang Zhang

Abstract

ABSTRACT Early diagnosis and personalized management of chronic liver disease are critical for preventing disease progression and reducing mortality. However, existing diagnostic methods primarily depend on invasive blood sampling and laboratory‐based analyses, which limit their suitability for continuous, real‐world monitoring. In this study, we developed a skin‐conformal, wearable electrochemical biosensing platform capable of real time monitoring of liver health by continuously analyzing liver‐related metabolic biomarkers (creatine and lactate) in sweat. To improve sensor reliability, we introduced a universal enzyme immobilization strategy based on covalent organic frameworks, which enhances enzymatic stability and maintains catlytic activity under dynamic conditions. The fully integrated system supports efficient passive sweat collection, real time multi‐analyte detection, on‐board signal processing, and digital display. The platform was applied in preliminary human studies to track dynamic changes in sweat creatine and lactate in healthy individuals and participants with chronic liver disease. Overall, this work demonstrates a versatile wearable platform for noninvasive, continuous assisted evaluation of liver metabolic functions, contributing to the advancement of next‐generation personalized healthcare technologies.

Article Details

Volume / Issue Vol. 1, Issue 1
Published August 19, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (11)

H

Hao Zhao

X

Xieli Zhang

State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin P. R. China

A

Adnan Zameer

State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin P. R. China

Y

Yong Xia

School of Medical Engineering

J

Jianwei Wang

D

Dehai Yu

S

Samuel M. Mugo

Physical Science Department MacEwan University Edmonton Alberta Canada

M

Michael J. Serpe

Department of Chemistry University of Alberta Edmonton Saskatchewan Canada

H

Hongda Wang

W

Wenrui Qu

Department of Hand Surgery The Second Hospital of Jilin University Changchun P. R. China

Q

Qiang Zhang