Evidence map›Paper›PMID 41486703›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

An All-Soft Wearable Electrochemiluminescence Chip for Sweat Metabolite Detection.

Wei Nie, Jie Jiang, Xi Wei, Linfeng Zhuo, Danyang Li, Mingyu Jia, Tianhua Zheng, Hua Cui

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Polymer-Based Multiparameter Sensing Integrated Photonic Chip for Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Design and Sensing Applications of Eutectogels: A Review.Materials (Basel, Switzerland) · 2026
    Review
  5. An All-Soft Wearable Electrochemiluminescence Chip for Sweat Metabolite Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Wei NieKey Laboratory of Precision and Intelligent Chemistry, Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, P. R. China.ORCID https://orcid.org/0009-0003-7720-7130
Jie JiangKey Laboratory of Precision and Intelligent Chemistry, Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, P. R. China.ORCID https://orcid.org/0000-0002-4894-5973
Xi WeiKey Laboratory of Precision and Intelligent Chemistry, Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, P. R. China.
Linfeng ZhuoKey Laboratory of Precision and Intelligent Chemistry, Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, P. R. China.
Danyang LiKey Laboratory of Precision and Intelligent Chemistry, Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, P. R. China.
Mingyu JiaKey Laboratory of Precision and Intelligent Chemistry, Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, P. R. China.
Tianhua ZhengKey Laboratory of Precision and Intelligent Chemistry, Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, P. R. China.
Hua CuiKey Laboratory of Precision and Intelligent Chemistry, Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, P. R. China.ORCID https://orcid.org/0000-0003-4769-9464

Funding

Fundamental Research Funds for the Central Universities WK2060000062National Natural Science Foundation of China 22204156National Natural Science Foundation of China 22304077National Natural Science Foundation of China 22434004Start-up fund of Hefei University of Technology
6 · The paper itself

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.

Indexed as

Biosensing TechniquesElectrochemical TechniquesLuminescent MeasurementsSweatWearable Electronic DevicesEquipment DesignHumansECL conductive ionogellaser‐induced graphenemicrofluidicssweat glucosewearable sensor

Identifiers

PMID41486703
PMCPMC12915171

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.