Evidence map›Paper›PMID 36999140›Full record

ArticleMicrosystems & nanoengineering2023

Dual-signal readout paper-based wearable biosensor with a 3D origami structure for multiplexed analyte detection in sweat.

Yuemeng Cheng, Shaoqing Feng, Qihong Ning, Tangan Li, Hao Xu, Qingwen Sun, Daxiang Cui, Kan Wang

Open access · goldFull text read
In one paragraph

Article in Microsystems & nanoengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.4field-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

25 citing papers in PubMed, 86 citations in OpenAlex.

  1. Microfluidic valves for wearable sweat analysis: a review.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
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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

8 authors at 1 institution in 1 country.

Yuemeng Cheng *School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China.
Shaoqing Feng *Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 200011 Shanghai, China.
Qihong NingSchool of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China.
Tangan LiSchool of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China.
Hao XuSchool of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, 200240 Shanghai, China.
Qingwen SunSchool of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China.
Daxiang CuiSchool of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China.
Kan WangSchool of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China.ORCID 0000-0003-3842-9390
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this research, we design and implement a small, convenient, and noninvasive paper-based microfluidic sweat sensor that can simultaneously detect multiple key biomarkers in human sweat. The origami structure of the chip includes colorimetric and electrochemical sensing regions. Different colorimetric sensing regions are modified with specific chromogenic reagents to selectively identify glucose, lactate, uric acid, and magnesium ions in sweat, as well as the pH value. The regions of electrochemical sensing detect cortisol in sweat by molecular imprinting. The entire chip is composed of hydrophilically and hydrophobically treated filter paper, and 3D microfluidic channels are constructed by using folding paper. The thread-based channels formed after the hydrophilic and hydrophobic modifications are used to control the rate of sweat flow, which in turn can be used to control the sequence of reactions in the differently developing colored regions to ensure that signals of the best color can be captured simultaneously by the colorimetric sensing regions. Finally, the results of on-body experiments verify the reliability of the proposed sweat sensor and its potential for the noninvasive identification of a variety of sweat biomarkers.

Indexed as

ChemistryEngineering

Identifiers

PMID36999140
PMCPMC10042807
OpenAlexW4361212959

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read26
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 OpenQuestion graph.