Evidence mapPaperPMID 37117704Full record

ReviewNature reviews. Chemistry2022

Wearable chemical sensors for biomarker discovery in the omics era.

Juliane R Sempionatto, José A Lasalde-Ramírez, Kuldeep Mahato, Joseph Wang, Wei Gao

Open access · bronzeAbstract readReview
In one paragraph

Review in Nature reviews. Chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 160 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 1 pooled it
44.2field-weighted citation impact, top 1% of its field
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

160 citing papers in PubMed, 1 synthesis or guideline pooled it, 521 citations in OpenAlex.

  1. Pooled it
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  6. A Portable and Dual-Button Microneedle Device Enables Intelligent Multimodal Laser Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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100 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Juliane R SempionattoAndrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
José A Lasalde-RamírezAndrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0003-2834-3120
Kuldeep MahatoDepartment of Nanoengineering, University of California, San Diego, La Jolla, CA, USA.
Joseph WangDepartment of Nanoengineering, University of California, San Diego, La Jolla, CA, USA. josephwang@ucsd.edu.
Wei GaoAndrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA. weigao@caltech.edu.ORCID 0000-0002-8503-4562
California Institute of Technology · USUniversity of California San Diego · US

Funding

Laser-Engraved Wearable Sweat Sensors to Detect and Monitor Cardiometabolic DiseaseR01HL155815 · CALIFORNIA INSTITUTE OF TECHNOLOGY · 2025 to 2025
$399k
NASA NNX16AO69ANHLBI NIH HHS R01 HL155815
6 · The paper itself

Abstract

Biomarkers are crucial biological indicators in medical diagnostics and therapy. However, the process of biomarker discovery and validation is hindered by a lack of standardized protocols for analytical studies, storage and sample collection. Wearable chemical sensors provide a real-time, non-invasive alternative to typical laboratory blood analysis, and are an effective tool for exploring novel biomarkers in alternative body fluids, such as sweat, saliva, tears and interstitial fluid. These devices may enable remote at-home personalized health monitoring and substantially reduce the healthcare costs. This Review introduces criteria, strategies and technologies involved in biomarker discovery using wearable chemical sensors. Electrochemical and optical detection techniques are discussed, along with the materials and system-level considerations for wearable chemical sensors. Lastly, this Review describes how the large sets of temporal data collected by wearable sensors, coupled with modern data analysis approaches, would open the door for discovering new biomarkers towards precision medicine.

Indexed as

Biosensing TechniquesBody FluidsWearable Electronic DevicesBiomarkersSweatBiomarkers

Identifiers

PMID37117704
PMCPMC9666953
OpenAlexW4309083869

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.