Evidence map›Paper›PMID 40238274›Full record

ArticleFoods (Basel, Switzerland)2025

Portable Thiocholine-Based Sensor for Monitoring Blood Cholinesterase Activity and Detecting Organophosphate and Carbamate Pesticides Using Personal Glucose Meters.

Udomsap Jaitham, Tipsuda Pintakham, Nan Ei Moh Moh Kyi, Muhammad Samar, Peerapong Jeeno, Surat Hongsibsong, Supansa Pata, Anurak Wongta

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Udomsap JaithamSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0009-0006-2554-7127
Tipsuda PintakhamSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Nan Ei Moh Moh KyiSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Muhammad SamarSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Peerapong JeenoSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-3757-8557
Surat HongsibsongSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-5510-5905
Supansa PataDepartment of Medical Technology, Faculty of Associate Medical Science, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0001-8529-4332
Anurak WongtaSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0003-0308-8477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread use of organophosphate and carbamate pesticides in agriculture poses significant health risks due to their cholinesterase (ChE) inhibitory effects. However, existing detection methods are often expensive and require specialized facilities, limiting their accessibility. This study developed a cost-effective, portable, and sensitive sensor using personal glucose meter (PGM) technology to detect ChE activity in human blood and pesticide residues in vegetables. A thiocholine-based assay was designed to measure ChE activity via PGM, enabling the assessment of enzyme inhibition caused by pesticide exposure. The optimized PGM-based sensor achieved limits of detection (LODs) of 0.138 ppm for mevinphos and 0.113 ppm for carbofuran in standard solutions, with strong correlations (R > 0.99) between standard and fortified samples, indicating high sensitivity and accuracy. The method demonstrated reliable detection of ChE inhibition at pesticide concentrations as low as 0.05 ppm. The developed sensor offers a portable and efficient tool for point-of-care diagnostics, environmental monitoring, and food safety applications. This approach enhances public health protection by enabling accessible pesticide detection. Future work will focus on expanding detection capabilities, improving specificity and stability, and conducting clinical validation for broader applications.

Indexed as

carbamate detectioncholinesterase activity sensororganophosphoruspersonal glucose meterpesticide sensorthiocholine

Identifiers

PMID40238274
PMCPMC11988904

What OpenQuestion holds

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LicenceCC BY
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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.