Integrating molecular properties and olfactory receptor binding affinities for identifying environmental odorants.

Odorous volatile compounds released from waste and wastewater treatment, soil remediation, industrial manufacturing, and livestock operations have become a growing environmental and public health concern. However, identifying key odor compounds within complex emissions remains a fundamental challenge, as odor impact is governed not solely by chemical concentration, but by the odor detection thresholds (ODTs) and odor qualities. Although machine-learning approaches have shown promise in predicting odor characteristi…