Prediction of mixture toxicity of essential oil constituents using nonparametric and parametric models against Musca domestica L.

ABSTRACT:

Background

Growing concerns over the environmental and human health impacts of conventional insecticides have intensified interest in botanical alternatives, including essential oils. However, their compositional complexity poses challenges for quality control and consistent efficacy. This study evaluated and compared the predictability of nonparametric and parametric models for predicting the mixture toxicity of essential oil constituents against Musca domestica.

Results

Conventional nonparametric null models, including Loewe, Bliss, Schindler and Highest Single Agent, were applied to 210 binary mixtures showed limited predictive accuracies of 30%, 46%, 42% and 41% of combinations, respectively. These limitations are due to their assumption of noninteractivity, which is oft

SUBMITTER: Yoon J 

PROVIDER: S-EPMC12618918 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature