This review highlights coordination polymer sensors for pesticide detection and decontamination, suggesting AI integration enhances effectiveness.
The extensive use of pesticides in agriculture has enhanced both food production and pest management, but it has also raised serious ecological and human health related problems. Addressing these problems requires advanced materials for efficient pesticide detection and decontamination. From this aspect, coordination polymers (CPs) have emerged as a potential approach because of its distinctive features. This review focuses on CP-based solutions for pesticide detection and removal, emphasizing their luminescent properties for developing extremely sensitive and selective sensors. The remarkable adsorption potential of CPs for efficiently eliminating pesticide residues from diverse environmental samples is also a key highlight of this review. It underscores the significance of structural modifications, the integration of CPs with advanced composite materials, and the inclusion of cutting-edge technologies such as artificial intelligence (AI) and machine learning (ML) enhance their effectiveness and broaden their practical applications. By illuminating these advancements, this review aspires to inspire further research, paving the way for innovative and more effective solutions to combat pesticide contamination.
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Bhattacharya et al. (2025) studied this question.
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