Issue 11, 2022

A machine learning colorimetric biosensor based on acetylcholinesterase and silver nanoparticles for the detection of dichlorvos pesticides

Abstract

An uncomplicated and rapid colorimetric biosensor for the detection of highly toxic organophosphates (OPs) is developed, using the pesticide dichlorvos as a representative OP. Dichlorvos (DCV) detection is based on its inhibition of the catalytic activity of acetylcholinesterase on acetylthiocholine, which in turn is coupled to a reversible aggregation of citrate-capped silver nanoparticles (c-AgNPs) that gives strong color changes in solution. This color change can be observed by the naked eye for rapid screening. It can also be observed by UV-vis spectrometry, allowing quantification of DCV over a linear range of 1–7 μM with a limit of detection (LOD) and limit of quantitation (LOQ) of 0.65 μM and 3.21 μM. We show further that implementing a trained image processing convolution neural network (CNN) gives a superior quantitative performance, with DCV assay accuracy of 97.6% and assay range from 0–60 μM, using a smartphone for image collection and analysis. This machine learning-based DCV assay may find application in field studies to obtain rapid but also quantitative information about contamination in, for example, water and juices.

Graphical abstract: A machine learning colorimetric biosensor based on acetylcholinesterase and silver nanoparticles for the detection of dichlorvos pesticides

Supplementary files

Article information

Article type
Research Article
Submitted
02 Mar 2022
Accepted
03 May 2022
First published
06 May 2022

Mater. Chem. Front., 2022,6, 1487-1498

A machine learning colorimetric biosensor based on acetylcholinesterase and silver nanoparticles for the detection of dichlorvos pesticides

W. S. T. Tun, C. Talodthaisong, S. Daduang, J. Daduang, K. Rongchai, R. Patramanon and S. Kulchat, Mater. Chem. Front., 2022, 6, 1487 DOI: 10.1039/D2QM00186A

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements