Citation
Abstract
Widespread pesticides use in agriculture has led to significant groundwater and food contamination, posing severe risks to both human health and the environment. Real-time detection of these emerging contaminants remains a formidable challenge. Electrochemical sensors and biosensors have remained a viable technique for overcoming the limits ascribed to their ultra-sensitivity and rapid detection times as well as excellent sensitivity, reliability, and selectivity. This comprehensive review will encompass the most recent advancements in the utilization of functional materials such as metal–organic framework, MXene, carbon organic framework, carbon nanotubes, and graphene modifiers for the detection of a myriad of pesticides via electrochemical detection techniques, electrode materials, electrolyte solutions, and sample matrices. This review compiles performance data, including detection limits and linear ranges, for various sensing platforms. Finally, the write-up will discuss advanced sensor technology and address the improvements made on electrochemical sensors and biosensors for pesticide detection, which will be important in future studies on pesticide determination.
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Official URL or Download Paper: https://link.springer.com/article/10.1007/s44211-0...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Subject: | Analytical Chemistry |
| Divisions: | Faculty of Agriculture Institute of Tropical Agriculture and Food Security Institute of Tropical Forestry and Forest Products Faculty of Humanities, Management and Science Institut Ekosains Borneo |
| DOI Number: | https://doi.org/10.1007/s44211-025-00838-1 |
| Publisher: | Springer |
| Keywords: | Biosensor; COF; Electrochemical sensors; Graphene; MOF; MXene; Pesticides; Pollutant |
| Depositing User: | Ms. Nur Faseha Mohd Kadim |
| Date Deposited: | 20 Feb 2026 01:27 |
| Last Modified: | 20 Feb 2026 01:27 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s44211-025-00838-1 |
| URI: | http://psasir.upm.edu.my/id/eprint/122550 |
| Statistic Details: | View Download Statistic |
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