Evidence map›Paper›PMID 39178237›Full record

ArticleACS applied materials & interfaces2024

Molecularly Imprinted Wearable Sensor with Paper Microfluidics for Real-Time Sweat Biomarker Analysis.

Mayank Garg, Heng Guo, Ethan Maclam, Elizabeth Zhanov, Sathwika Samudrala, Anton Pavlov, Md Saifur Rahman, Myeong Namkoong, Jennette P Moreno, Limei Tian

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  7. Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  14. From Lab to Life: Self-Powered Sweat Sensors and Their Future in Personal Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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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

10 authors.

Mayank GargDepartment of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States.
Heng GuoDepartment of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States.
Ethan MaclamDepartment of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States.
Elizabeth ZhanovDepartment of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States.
Sathwika SamudralaDepartment of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States.
Anton PavlovDepartment of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States.
Md Saifur RahmanDepartment of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States.ORCID 0000-0003-0726-2399
Myeong NamkoongDepartment of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States.
Jennette P MorenoDepartment of Pediatrics-Nutrition, Baylor College of Medicine, Houston 77030, Texas, United States.
Limei TianDepartment of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States.ORCID 0000-0002-1931-8567

Funding

Continuous metabolite and protein profiling for immune monitoringR35GM147568 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI Limei Tian · 2022 to 2026
$1.8M
Refreshable Biosensors for Continuous Renal Function MonitoringR21EB029064 · NIBIB · TEXAS ENGINEERING EXPERIMENT STATION · PI TIAN, LIMEI · 2020 to 2020
$589k
NIBIB NIH HHS R21 EB029064NIGMS NIH HHS R35 GM147568
6 · The paper itself

Abstract

The urgent need for real-time and noninvasive monitoring of health-associated biochemical parameters has motivated the development of wearable sweat sensors. Existing electrochemical sensors show promise in real-time analysis of various chemical biomarkers. These sensors often rely on labels and redox probes to generate and amplify the signals for the detection and quantification of analytes with limited sensitivity. In this study, we introduce a molecularly imprinted polymer (MIP)-based biochemical sensor to quantify a molecular biomarker in sweat using electrochemical impedance spectroscopy, which eliminates the need for labels or redox probes. The molecularly imprinted biosensor can achieve sensitive and specific detection of cortisol at concentrations as low as 1 pM, 1000-fold lower than previously reported MIP cortisol sensors. We integrated multimodal electrochemical sensors with an iontophoresis sweat extraction module and paper microfluidics for real-time sweat analysis. Several parameters can be simultaneously quantified, including sweat volume, secretion rate, sodium ion, and cortisol concentration. Paper microfluidic modules not only quantify sweat volume and secretion rate but also facilitate continuous sweat analysis without user intervention. While we focus on cortisol sensing as a proof-of-concept, the molecularly imprinted wearable sensors can be extended to real-time detection of other biochemicals, such as protein biomarkers and therapeutic drugs.

Indexed as

BiomarkersBiosensing TechniquesHydrocortisonePaperSweatWearable Electronic DevicesDielectric SpectroscopyHumansMicrofluidicsMolecular ImprintingMolecularly Imprinted PolymersBiomarkersHydrocortisoneMolecularly Imprinted Polymerslaser-induced graphenemolecularly imprinted polymerpaper microfluidicsreal-time monitoringwearable sweat sensors

Identifiers

PMID39178237
PMCPMC11378148

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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.