Evidence map›Paper›PMID 42128909›Full record

ArticleNature biomedical engineering2026

Wireless and in situ regenerable multimodal wearable bioelectronic sweat sensor for continuous biomarker monitoring in everyday settings.

Jerome Rajendran, Xiaochang Pei, Shingirirai Chakoma, Anita Ghandehari, Jorge A Tavares-Negrete, Sahar NajafiKhoshnoo, Rahim Esfandyarpour

Abstract read
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In one paragraph

Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Jerome RajendranDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA, USA.
Xiaochang PeiDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-1080-1333
Shingirirai ChakomaDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA, USA.
Anita GhandehariDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA, USA.
Jorge A Tavares-NegreteLaboratory for Integrated Nano BioElectronics Innovation, The Henry Samueli School of Engineering, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0001-7695-460X
Sahar NajafiKhoshnooDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA, USA.
Rahim EsfandyarpourDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA, USA. rahimes@uci.edu.ORCID http://orcid.org/0000-0002-4528-3601

Funding

National Science Foundation (NSF) 2538997
6 · The paper itself

Abstract

Wearable sweat-sensing technologies are limited by their inability to detect multiple molecular biomarkers, lack of multimodal capabilities, insufficient environmental robustness and the absence of in situ regenerability needed for long-term use outside laboratory conditions. Here we show a wireless, battery-free, multimodal wearable molecular sweat sensor that incorporates automated in-sensory regeneration and stable performance in real-world environments. Synthetic molecularly imprinted polymers, selected using density functional theory, allow selective biomarker recognition in sweat. In situ full regeneration of sensing components is achieved via voltage-based processes, whereby an electrical potential is applied to the molecularly imprinted polymer layers, causing the captured target molecules to be eluted from the sensor surface thus restoring the sensor for continuous use without manual intervention. We show simultaneously monitoring of cortisol, urea, lactate and glucose, with reliable operation validated for up to 21 days in both ex situ and in situ conditions. The presented advance enables long-term, comprehensive molecular health monitoring, suggesting future applications in healthcare, sports and personal well-being outside standard clinical settings.

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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.