Evidence map›Paper›PMID 36236769›Full record

ReviewSensors (Basel, Switzerland)2022

A Comprehensive Review of the Recent Developments in Wearable Sweat-Sensing Devices.

Nur Fatin Adini Ibrahim, Norhayati Sabani, Shazlina Johari, Asrulnizam Abd Manaf, Asnida Abdul Wahab, Zulkarnay Zakaria, Anas Mohd Noor

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. 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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  11. Past, Present, and Future of Human Chemical Communication Research.Perspectives on psychological science : a journal of the Association for Psychological Science · 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

7 authors.

Nur Fatin Adini IbrahimFaculty of Electronic Engineering & Technology; Universiti Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0002-8900-8337
Norhayati SabaniFaculty of Electronic Engineering & Technology; Universiti Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0002-5354-332X
Shazlina JohariFaculty of Electronic Engineering & Technology; Universiti Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0003-3482-8626
Asrulnizam Abd ManafCollaborative Microelectronic Design Excellence Centre, Universiti Sains Malaysia, Gelugor 11800, Malaysia.ORCID 0000-0002-6198-263X
Asnida Abdul WahabDepartment of Biomedical Engineering and Health Sciences, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.ORCID 0000-0003-3222-1732
Zulkarnay ZakariaFaculty of Electronic Engineering & Technology; Universiti Malaysia Perlis, Arau 02600, Malaysia.
Anas Mohd NoorFaculty of Electronic Engineering & Technology; Universiti Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0002-0410-3635

Funding

Fundamental Research Grant Scheme (FRGS) FRGS/1/2019/TK05/UNIMAP/03/6
6 · The paper itself

Abstract

Sweat analysis offers non-invasive real-time on-body measurement for wearable sensors. However, there are still gaps in current developed sweat-sensing devices (SSDs) regarding the concerns of mixing fresh and old sweat and real-time measurement, which are the requirements to ensure accurate the measurement of wearable devices. This review paper discusses these limitations by aiding model designs, features, performance, and the device operation for exploring the SSDs used in different sweat collection tools, focusing on continuous and non-continuous flow sweat analysis. In addition, the paper also comprehensively presents various sweat biomarkers that have been explored by earlier works in order to broaden the use of non-invasive sweat samples in healthcare and related applications. This work also discusses the target analyte's response mechanism for different sweat compositions, categories of sweat collection devices, and recent advances in SSDs regarding optimal design, functionality, and performance.

Indexed as

Biosensing TechniquesWearable Electronic DevicesBiomarkersMonitoring, PhysiologicSweatBiomarkerscontinuous and non-continuous flowreal-time measurementsweat-sensing applicationswearable device

Identifiers

PMID36236769
PMCPMC9573257

What OpenQuestion 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 OpenQuestion graph.