Evidence map›Paper›PMID 39083518›Full record

ArticlePloS one2024

Advancing micro-electrometric techniques for the detection of organophosphate and carbamate residues using cricket cholinesterase.

Anurak Wongta, Priyanshi Anand, Nealler A A Aning, Nootchakarn Sawarng, Surat Hongsibsong

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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

5 authors.

Anurak WongtaResearch Institute for Health Sciences, School of Health Science Research, Chiang Mai University, Chiang Mai, Thailand.
Priyanshi AnandFaculty of Science, Asia-Pacific International University, Saraburi, Thailand.ORCID 0009-0005-0315-005X
Nealler A A AningFaculty of Science, Asia-Pacific International University, Saraburi, Thailand.
Nootchakarn SawarngFaculty of Medicine, Department of Community Medicine, Chiang Mai University, Chiang Mai, Thailand.
Surat HongsibsongResearch Institute for Health Sciences, School of Health Science Research, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-5510-5905

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread use of organophosphate (OP) and carbamate (CM) pesticides requires efficient and cost-effective detection methods. This study introduces a micro-electrometric method using cricket cholinesterase (ChE) to detect OP and CM residues, providing a rapid and economical alternative to conventional chromatographic techniques. The parameters of the method, including the substrate concentration, incubation temperature, and incubation time, were optimized. By leveraging the sensitivity of cricket ChE to OP and CM inhibition, this approach translates enzyme inhibition into an electrical signal to quantify pesticide levels, achieving an impressive limit of detection (LOD) from 0.036 to 0.086 parts per million (ppm). This method demonstrated reproducibility and stability, making it suitable for field applications and on-site testing across various environmental matrices. This research represents a significant advancement in pesticide residue analysis with potential applications in the development of portable biosensor devices for real-time environmental monitoring and public health protection.

Indexed as

CarbamatesCholinesterasesGryllidaePesticide ResiduesAnimalsBiosensing TechniquesEnvironmental MonitoringLimit of DetectionOrganophosphatesReproducibility of ResultsCarbamatesCholinesterasesOrganophosphatesPesticide Residues

Identifiers

PMID39083518
PMCPMC11290615

What OpenQuestion holds

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Registered trials

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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.