An All‐Soft Wearable Electrochemiluminescence Chip for Sweat Metabolite Detection

Wearable sensors are transforming real-time, non-invasive health monitoring. Despite considerable advances in electrochemical and optical sensing modalities, challenges remain in achieving reliable, sensitive, and cost-effective detection of sweat metabolites due to the variable chemical composition of sweat and difficulties in device integration. Electrochemiluminescence (ECL) offers an attractive alternative for wearable sensing due to its high sensitivity and ease of integration without complex circuitry or external light sources. However, ECL is rarely used in wearable formats due to challenges in flexible electrode and stable luminophore development. Here, we present a fully soft, skin-conformable ECL chip for sweat metabolite monitoring, integrating a laser-patterned closed bipolar electrode array, a microfluidic sweat collector, and deep eutectic solvent-based ionogels as robust ECL emitters. This architecture separates sensing and reporting zones, effectively reducing signal interference from complex sweat matrices, while the ionogels enhance signal stability and device flexibility, enabling prolonged on-skin operation. Taking glucose as a model analyte, we demonstrate specific and direct ECL readout by integrating a specific enzymatic reaction with a linear range from µm to mm. The device accurately captures postprandial glucose changes, with a per-chip cost of $0.106, demonstrating its great potential for real-time metabolic tracking in personalized health monitoring or clinical diagnosis.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-01-04
DOI
https://doi.org/10.1002/advs.202519435
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
63.83

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An All‐Soft Wearable Electrochemiluminescence Chip for Sweat Metabolite Detection

Mingyu Jia, Tianhua Zheng, Jun Jiang, Hua Cui et al.
3 citations
Advanced Science
Advanced Sensor and Energy Harvesting Materials
63.83
article

An All‐Soft Wearable Electrochemiluminescence Chip for Sweat Metabolite Detection

Mingyu Jia, Tianhua Zheng, Jun Jiang, Hua Cui, Xi Wei, Linfeng Zhuo, Danyang Li, Wei Nie
article en
3 citations

Abstract

Wearable sensors are transforming real-time, non-invasive health monitoring. Despite considerable advances in electrochemical and optical sensing modalities, challenges remain in achieving reliable, sensitive, and cost-effective detection of sweat metabolites due to the variable chemical composition of sweat and difficulties in device integration. Electrochemiluminescence (ECL) offers an attractive alternative for wearable sensing due to its high sensitivity and ease of integration without complex circuitry or external light sources. However, ECL is rarely used in wearable formats due to challenges in flexible electrode and stable luminophore development. Here, we present a fully soft, skin-conformable ECL chip for sweat metabolite monitoring, integrating a laser-patterned closed bipolar electrode array, a microfluidic sweat collector, and deep eutectic solvent-based ionogels as robust ECL emitters. This architecture separates sensing and reporting zones, effectively reducing signal interference from complex sweat matrices, while the ionogels enhance signal stability and device flexibility, enabling prolonged on-skin operation. Taking glucose as a model analyte, we demonstrate specific and direct ECL readout by integrating a specific enzymatic reaction with a linear range from µm to mm. The device accurately captures postprandial glucose changes, with a per-chip cost of $0.106, demonstrating its great potential for real-time metabolic tracking in personalized health monitoring or clinical diagnosis.

Advanced ScienceVol. 13(10)
University of Science and Technology of China (CN), Anhui University (CN), Hefei University of Technology (CN)
National Natural Science Foundation of China, Hefei University, Hefei University of Technology, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 0%
Advanced Sensor and Energy Harvesting Materials
63.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.