PubMed · 2026-05-27
Researchers compiled and analyzed chemical properties for 110 pesticides commonly used in Cameroon and tropical Africa to build predictive models that can estimate environmental and health risks even where lab data is scarce.
A curated dataset of physicochemical properties was assembled for 110 pesticide active ingredients used in Cameroon and tropical Africa, addressing a significant data gap in the region.
The study used quantitative structure-activity relationship (QSAR) models to predict how pesticides partition between octanol, air, and water — key factors determining environmental fate and toxicity.
Tropical regions face heightened risk from pesticide misuse precisely because standard risk assessment tools are calibrated for temperate conditions, leaving local ecosystems and populations underprotected.