Issue 20, 2023

Effects of additives on the performance of a laser-induced graphene sensor modified with ZrO2 nanoparticles for OP detection

Abstract

In this study, a simple and portable electrochemical sensor based on laser-induced graphene (LIG) has been developed to systematically investigate the feasibility of LIG as an electrode to detect organophosphorus pesticides (OPs). It proves that the LIG-based electrode has a relatively high electrochemically active surface area (ECSA) and heterogeneous electron transfer (HET) of 0.100 cm2 and 0.000825 cm s−1, respectively. In addition, zirconium dioxide nanoparticles (ZrO2 NPs) have been modified on the electrode with three different binders, β-cyclodextrin (β-CD), chitosan (CS) and Nafion, to improve the adsorption capacity of the electrode toward OPs, and the effect of the binders on the performance of the as-fabricated sensor has been investigated in detail. The results show that β-CD increases not only the electrochemically active surface area of the electrode but also the redox peak current of methyl parathion (MP). To evaluate the sensitivity of the sensor, differential pulse voltammetry (DPV) curves have been tested in solutions containing different concentrations of MP using ZrO2-β-CD/LIG as an electrode, which shows a detection range of 5–200 ng ml−1 and a detection limit of 0.89 ng ml−1. In summary, the LIG-based sensor has a low detection limit, high sensitivity and good interference resistance, and thus has tremendous potential for the detection of pesticides in the environment.

Graphical abstract: Effects of additives on the performance of a laser-induced graphene sensor modified with ZrO2 nanoparticles for OP detection

Supplementary files

Article information

Article type
Paper
Submitted
17 Jul 2023
Accepted
30 Aug 2023
First published
04 Sep 2023

Analyst, 2023,148, 5210-5220

Effects of additives on the performance of a laser-induced graphene sensor modified with ZrO2 nanoparticles for OP detection

H. Xu, C. Guo, W. Yuan, W. Zhang, Q. Sun, J. Wu and X. Zhang, Analyst, 2023, 148, 5210 DOI: 10.1039/D3AN01215H

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