Evidence map›Paper›PMID 36385833›Full record

ArticleACS omega2022

Biosensors Based on Acetylcholinesterase Immobilized on Clay-Gold Nanocomposites for the Discrimination of Chlorpyrifos and Carbaryl.

Angkana Phongphut, Bralee Chayasombat, Anthony E G Cass, Muenduen Phisalaphong, Seeroong Prichanont, Chanchana Thanachayanont, Thanawee Chodjarusawad

Abstract read
In one paragraph

Article in ACS omega, 2022. 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. Machine-Learning-Aided Advanced Electrochemical Biosensors.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  2. Current Advances in Aptasensors for Pesticide Detection.Topics in current chemistry (Cham) · 2025
    Review
  3. Machine Learning in Bioelectrocatalysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  4. 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

7 authors.

Angkana PhongphutDepartment of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Phayathai Road, Bangkok10330, Thailand.
Bralee ChayasombatNational Metal and Materials Technology Center, Thailand Science Park, Paholyothin Road, Pathumthani12120, Thailand.
Anthony E G CassDepartment of Chemistry, Imperial College London, LondonW12 0NZ, U.K.ORCID https://orcid.org/0000-0001-8881-4786
Muenduen PhisalaphongDepartment of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Phayathai Road, Bangkok10330, Thailand.
Seeroong PrichanontDepartment of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Phayathai Road, Bangkok10330, Thailand.
Chanchana ThanachayanontNational Metal and Materials Technology Center, Thailand Science Park, Paholyothin Road, Pathumthani12120, Thailand.
Thanawee ChodjarusawadDepartment of Physics, Faculty of Science, Burapha University, Long-Hard Bangsaen Road, Chonburi20131, Thailand.ORCID https://orcid.org/0000-0002-5909-5484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aims at evaluating a utilization of diverse clay mineral/gold nanoparticles/acetylcholinesterase (clay/AuNPs/AChE) biosensors by using principal component analysis (PCA) for the discrimination of pesticide types and their concentration levels both in the synthetic and real samples. Applications of simple and low-cost clay/AuNP composites of different characteristics as modified-electrode materials are highlighted. Four types of clay minerals, namely, platelike kaolinite (Kaol: 1:1 aluminum phyllosilicate), globular montmorillonite (Mt: 2:1 aluminum phyllosilicate), globular bentonite (Bent: 2:1 aluminum phyllosilicate), and fibrous sepiolite (Sep: 2:1 inverted ribbons of magnesium phyllosilicate), were selected as the base materials. Due to the distinct characteristics of the selected clay, the derived clay/AuNP composites resulted in different physical morphologies, AuNP sizes and loadings, matrix hydrophobicity, and active AChE loading per electrode. These, in turn, caused divergent electrochemical responses for the pesticide determination; hence, no other enzymes apart from AChE were necessary for the fabrication of distinct biosensors. Physical and chemical characterizations of clay/AuNPs were conducted using scanning electron microscopy, transmission electron microscopy, thermogravimetric analysis, and X-ray photoelectron spectroscopy techniques. The electrochemical information was recorded by cyclic voltammetry and amperometry techniques. The enzyme inhibition results obtained from the pesticides were treated and used as input data to obtain PCA results. The four fabricated clay/AuNPs/AChE biosensors were able to discriminate chlorpyrifos and carbaryl and their concentration levels for synthetic pesticides and real samples. It was disclosed that a high enzyme inhibition and a high hydrophobic modified-electrode material affect a highly sensitive pesticide biosensor. The hydrophobic/hydrophilic character of the modified-electrode material plays a major role in discriminating the pesticide types and their concentration levels by the proposed single-enzyme sensor system. The PCA results illustrated that PC2 described the different types of pesticides, and PC1 showed the level of pesticide concentration with high first two principal components. The mixed pesticides could be identified at an especially low total concentration of 0.5 ng/mL in real samples.

Identifiers

PMID36385833
PMCPMC9647858

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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.