Evidence map›Paper›PMID 35448313›Full record

ReviewBiosensors2022

A Review on Flexible Electrochemical Biosensors to Monitor Alcohol in Sweat.

Nuna G Costa, Joana C Antunes, Antonio J Paleo, Ana M Rocha

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

4 authors.

Nuna G CostaEngineering School and Department of Textile Engineering, University of Minho, 4800-058 Guimaraes, Portugal.ORCID 0000-0002-0324-7338
Joana C AntunesCenter of Textile Science and Technology, University of Minho, 4800-058 Guimaraes, Portugal.ORCID 0000-0003-2036-2730
Antonio J PaleoCenter of Textile Science and Technology, University of Minho, 4800-058 Guimaraes, Portugal.ORCID 0000-0002-4688-5794
Ana M RochaCenter of Textile Science and Technology, University of Minho, 4800-058 Guimaraes, Portugal.

Funding

Fundação para a Ciência e Tecnologia POCI -01 -0247 -FEDER -047012Fundação para a Ciência e Tecnologia UIDB/00264/2020Fundação para a Ciência e Tecnologia UID/CTM/00264/2020
6 · The paper itself

Abstract

The continued focus on improving the quality of human life has encouraged the development of increasingly efficient, durable, and cost-effective products in healthcare. Over the last decade, there has been substantial development in the field of technical and interactive textiles that combine expertise in electronics, biology, chemistry, and physics. Most recently, the creation of textile biosensors capable of quantifying biometric data in biological fluids is being studied, to detect a specific disease or the physical condition of an individual. The ultimate goal is to provide access to medical diagnosis anytime and anywhere. Presently, alcohol is considered the most commonly used addictive substance worldwide, being one of the main causes of death in road accidents. Thus, it is important to think of solutions capable of minimizing this public health problem. Alcohol biosensors constitute an excellent tool to aid at improving road safety. Hence, this review explores concepts about alcohol biomarkers, the composition of human sweat and the correlation between alcohol and blood. Different components and requirements of a biosensor are reviewed, along with the electrochemical techniques to evaluate its performance, in addition to construction techniques of textile-based biosensors. Special attention is given to the determination of biomarkers that must be low cost and fast, so the use of biomimetic materials to recognize and detect the target analyte is turning into an attractive option to improve electrochemical behavior.

Indexed as

Biosensing TechniquesSweatBiomarkersElectrochemical TechniquesEthanolHumansMonitoring, PhysiologicBiomarkersEthanolalcoholbiomarkersbiomimeticbiosensorroad accidentstarget analyte

Identifiers

PMID35448313
PMCPMC9026542

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.