Electronic Thesis/Dissertation
 

Structure-to-Process Design Framework for Developing Safer Pesticides

Open Access

Rational design of pesticides with tunable degradation properties and minimal ecotoxicity is among the grand challenges of green chemistry. While computational approaches have gained traction in predictive toxicology, current methods lack the necessary multifaceted approach and design-vectoring tools needed for systems-based chemical development. Here, we report a tiered computational framework, which integrates kinetics and thermodynamics of indirect photodegradation with predictions of ecotoxicity and performance, based on cutoff values in mechanistically-derived physicochemical properties and electronic parameters. Validated against available experimental data, and applied to 700 pesticides on the US EPA’s registry, this simple yet powerful approach can be used to screen existing molecules to identify application-ready candidates with desirable characteristics. Importantly, by linking structural attributes to process-based outcomes, and by quantifying trade-offs in safety, depletion and performance, our method offers a user-friendly roadmap to rational design of novel agrochemicals.

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