AIMC Topic: Pesticides

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Machine learning-assisted SERS detection of pyrethroid pesticides in edible fungi using a magnetic nanosensor.

Mikrochimica acta
Pyrethroid pesticide residues pose a significant global public health challenge, particularly in complex edible fungus matrices where trace, structurally similar pesticides are difficult to distinguish and detect. To address this critical gap, a nove...

Deep Learning-Driven Discovery of Bee-Safe Isoxazoline Pesticide Candidates.

Journal of agricultural and food chemistry
Isoxazoline pesticides, such as fluxametamide, while effective against parasites and pests, pose a severe environmental threat due to their high toxicity to honeybees - critical pollinators essential for ecosystem health and food security. Existing p...

Interpretable machine learning framework for predicting pesticide phytotoxicity in wastewater reuse: Integrating molecular, quantum, and experimental descriptors.

Environmental research
Pesticides are essential for crop protection, but their potential toxicity poses significant environmental and health risks. Although numerous toxicological studies have been conducted, accurately predicting pesticide phytotoxicity remains challengin...

A microneedle-based integrated three-electrode system for pesticide detection using machine learning.

The Analyst
Pesticides contribute to enhanced agricultural productivity, yet excessive residues pose significant health risks to humans as they persist even after washing, making their detection in crops critically important. In this study, we employed 3D-printe...

Machine learning-assisted multi-channel nanozyme sensor arrays for multiple pesticide tracking, tracing and metabolism analysis.

Biosensors & bioelectronics
To achieve precise pesticide residue detection and metabolic analysis, we innovatively proposed a machine learning-assisted multi-channel nanozyme sensor array. Five Cu-carboxylate nanozymes with outstanding laccase-like and peroxidase-like activitie...

AI-powered programmable wetting-delamination μPAD for point-of-care food safety detection.

Biosensors & bioelectronics
The widespread use of pesticides and genetically modified (GM) crops has greatly improved agricultural productivity and food security. However, excessive pesticide application and the presence of exogenous proteins from GM crops pose significant risk...

Bioinspired Design and Functionalization of Pesticide Nanocarriers: From Synthesis Strategies to Foliar-Targeted Delivery Mechanisms.

Journal of agricultural and food chemistry
Traditional pesticide formulations suffer from poor adhesion and limited deposition efficiency, causing overuse and ecological risks. Functional nanocarriers present a promising solution by leveraging bioinspired adhesive and structural topographies ...

Machine-Learning-Assisted CRISPR/Cas12a Biosensors for Monitoring Organophosphorus Pesticide Degradation.

Analytical chemistry
Owing to the severe environmental and health issues posed by organophosphorus pesticides (OPs), a dual-enzyme cascade biosensing platform based on manganese dioxide (MnO) and CRISPR/Cas12a was developed in this study. Smartphones were innovatively in...

Unveiling chemical space, scaffold diversity, critical structural features of pesticides: A comprehensive QSAR, qRASAR, machine learning studies to predict pesticides toxicity.

The Science of the total environment
The increasing use of pesticides in agriculture and urban areas has led to significant contamination of aquatic ecosystems, posing risks to non-target species. Fish, particularly the rainbow trout (Oncorhynchus mykiss), are highly vulnerable due to t...

Integrating machine learning and metabolomics to uncover new biomarkers for predicting pesticide exposure among patients with kidney function decline.

The Science of the total environment
Although pesticide application is indispensable for agricultural productivity, improper use can pose significant health risks, particularly for vulnerable populations. This study investigated the effects of pesticide exposure on metabolic pathways an...