Advancements in electrochemiluminescence-based sensors for ultra-sensitive pesticide residue detection

Pesticides are chemical substances utilized to prevent, control, and eradicate pests or organisms detrimental to crops, playing a pivotal role in minimizing agricultural losses and enhancing yields. However, improper pesticide use can lead to residue accumulation in the surrounding environment, including agricultural products, soil, and water. Detecting pesticide residues in the environment has become imperative. While various techniques such as chromatography, spectrophotometry, optical sensors, and electrochemical biosensors have been reported for pesticide residue detection, they face limitations such as large instrument size and low sensitivity. Currently, electrochemiluminescence (ECL) methods have been developed for pesticide detection. ECL methods can be combined with biosensor techniques or other molecule recognition element to enhance selectivity and specificity. ECL combines controllable electrochemical reaction properties with high photokinetic sensitivity. It can detect analytes with low detection limits (down to pM levels), ensuring rapid measurements and requiring minimal sample volumes for analysis. This literature review discusses the progress in research on detecting pesticide residues using ECL methods. The utilization of ECL, with its unique capabilities, signifies a promising avenue for addressing the shortcomings of traditional detection methods and advancing the field of pesticide residue analysis.

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Publication Details

Journal
Sensing and Bio-Sensing Research
Published
2024-11-04
DOI
https://doi.org/10.1016/j.sbsr.2024.100708
Citations
8
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
1.87

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article

Advancements in electrochemiluminescence-based sensors for ultra-sensitive pesticide residue detection

Wulan Tri Wahyuni, Yeni Wahyuni Hartati, Isnaini Rahmawati, Tribidasari Anggraningrum Ivandini et al.
8 citations
Sensing and Bio-Sensing Research
Advanced biosensing and bioanalysis techniques
1.87
article

Advancements in electrochemiluminescence-based sensors for ultra-sensitive pesticide residue detection

Wulan Tri Wahyuni, Yeni Wahyuni Hartati, Isnaini Rahmawati, Tribidasari Anggraningrum Ivandini, Salma Nur Zakiyyah, Francesco Paolucci, Giovanni Valenti, Clianta Yudin Kharismasari, Irkham Irkham, Chico Permana Putra
article en
8 citations

Abstract

Pesticides are chemical substances utilized to prevent, control, and eradicate pests or organisms detrimental to crops, playing a pivotal role in minimizing agricultural losses and enhancing yields. However, improper pesticide use can lead to residue accumulation in the surrounding environment, including agricultural products, soil, and water. Detecting pesticide residues in the environment has become imperative. While various techniques such as chromatography, spectrophotometry, optical sensors, and electrochemical biosensors have been reported for pesticide residue detection, they face limitations such as large instrument size and low sensitivity. Currently, electrochemiluminescence (ECL) methods have been developed for pesticide detection. ECL methods can be combined with biosensor techniques or other molecule recognition element to enhance selectivity and specificity. ECL combines controllable electrochemical reaction properties with high photokinetic sensitivity. It can detect analytes with low detection limits (down to pM levels), ensuring rapid measurements and requiring minimal sample volumes for analysis. This literature review discusses the progress in research on detecting pesticide residues using ECL methods. The utilization of ECL, with its unique capabilities, signifies a promising avenue for addressing the shortcomings of traditional detection methods and advancing the field of pesticide residue analysis.

Sensing and Bio-Sensing ResearchVol. 46
IPB University (ID), University of Indonesia (ID), Padjadjaran University (ID), University of Bologna (IT)
Universitas Padjadjaran
Zero hunger
Openalex Percentile: Top 14%
Advanced biosensing and bioanalysis techniques
1.87
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