Evidence map›Paper›PMID 38248394›Full record

ReviewBiosensors2023

Advances in Non-Electrochemical Sensing of Human Sweat Biomarkers: From Sweat Sampling to Signal Reading.

Mingpeng Yang, Nan Sun, Xiaochen Lai, Xingqiang Zhao, Wangping Zhou

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2023. 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
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Aptamer regulated peroxidase-like activity of cobalt oxyhydroxide nanosheets for colorimetric detection of kanamycin.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
    Article
  5. Review
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 1 institution in 1 country.

Mingpeng YangSchool of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China.ORCID 0000-0001-8181-0248
Nan SunSchool of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China.ORCID 0009-0003-7037-9095
Xiaochen LaiSchool of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China.
Xingqiang ZhaoSchool of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China.
Wangping ZhouSchool of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China.
Nanjing University of Information Science and Technology · CN

Funding

China Higher Education Industry-University-Research Collaboration Innovation Fund 2021JQR022Innovation and Entrepreneurship Doctor Program of Jiangsu Province R2020SCB50National Natural Science Foundation of China 32200332National Natural Science Foundation of China 62204122Natural Science Research Project of Higher Education of Jiangsu 21KJB460024Postgraduate Education Reform Project of Jiangsu Province SJCX23_0387
6 · The paper itself

Abstract

Sweat, commonly referred to as the ultrafiltrate of blood plasma, is an essential physiological fluid in the human body. It contains a wide range of metabolites, electrolytes, and other biologically significant markers that are closely linked to human health. Compared to other bodily fluids, such as blood, sweat offers distinct advantages in terms of ease of collection and non-invasive detection. In recent years, considerable attention has been focused on wearable sweat sensors due to their potential for continuous monitoring of biomarkers. Electrochemical methods have been extensively used for in situ sweat biomarker analysis, as thoroughly reviewed by various researchers. This comprehensive review aims to provide an overview of recent advances in non-electrochemical methods for analyzing sweat, including colorimetric methods, fluorescence techniques, surface-enhanced Raman spectroscopy, and more. The review covers multiple aspects of non-electrochemical sweat analysis, encompassing sweat sampling methodologies, detection techniques, signal processing, and diverse applications. Furthermore, it highlights the current bottlenecks and challenges faced by non-electrochemical sensors, such as limitations and interference issues. Finally, the review concludes by offering insights into the prospects for non-electrochemical sensing technologies. By providing a valuable reference and inspiring researchers engaged in the field of sweat sensor development, this paper aspires to foster the creation of innovative and practical advancements in this domain.

Indexed as

ReadingSweatBiomarkersColorimetryElectrochemical TechniquesHumansBiomarkershuman sweatmicrofluidic samplingnon-electrochemical sensingwearable sensors

Identifiers

PMID38248394
PMCPMC10813192
OpenAlexW4390338764

What Socratic holds

Textmetadata
LicenceCC BY
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.