Evidence map›Paper›PMID 36839615›Full record

ArticlePathogens (Basel, Switzerland)2023

Potential Application of the WST-8-mPMS Assay for Rapid Viable Microorganism Detection.

Cheng-Han Chen, Yu-Hsiang Liao, Michael Muljadi, Tsai-Te Lu, Chao-Min Cheng

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Cheng-Han ChenDepartment of Emergency Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.ORCID 0000-0002-9542-525X
Yu-Hsiang LiaoInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Michael MuljadiInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0001-6785-6311
Tsai-Te LuInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0001-6977-2568
Chao-Min ChengInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0002-8644-1960

Funding

Ministry of Science and Technology Taiwan MOST 110-2221-E-007-073-MY2Taipei Veteran General hospital V111B-009
6 · The paper itself

Abstract

To ensure clean drinking water, viable pathogens in water must be rapidly and efficiently screened. The traditional culture or spread-plate process-the conventional standard for bacterial detection-is laborious, time-consuming, and unsuitable for rapid detection. Therefore, we developed a colorimetric assay for rapid microorganism detection using a metabolism-based approach. The reaction between a viable microorganism and the combination of 2-(2-methoxy-4-nitrophenyl)-3-(4-nitrophenyl)-5-(2,4-disulfophenyl)-2H-tetrazolium sodium salt (WST-8) and 1-methoxy-5-methylphenazinium methyl sulfate (mPMS) results in a color change. In combination with a microplate reader, WST-8-mPMS reactivity was leveraged to develop a colorimetric assay for the rapid detection of various bacteria. The detection limit of the WST-8-mPMS assay for both gram-negative and gram-positive bacteria was evaluated. This WST-8-mPMS assay can be used to perform colorimetrical semi-quantitative detection of various bacterial strains in buffers or culture media within 1 h without incubation before the reaction. The easy-to-use, robust, rapid, and sensitive nature of this novel assay demonstrates its potential for practical and medical use for microorganism detection.

Indexed as

colorimetrymicroorganism detectionmPMSpoint-of-care testingtetrazolium saltWST-8

Identifiers

PMID36839615
PMCPMC9966898

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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.