LAUSR

Abstract Due to the high experimental cost and the danger in conducting tests, there is a lack of information on the minimum ignition energy (MIE) of organic substances in the literature. On the other hand, MIE is essential information for the proper selection of explosion-proof equipment. Therefore, for application purposes, the MIE prediction model is needed. In this study, based on goodness-of-fit, robustness, predictive capability, and applicability domain (AD), ten quantitative structure-activity relationship (QSAR) models of MIE with different numbers of molecular descriptors were evaluated. A nine-descriptor model was found to have the best performance. The goodness-of-fit performance (R2), robustness (Q2Loo), and predictive capability (Q2) of the proposed model are 0.926, 0.601, and 0.794, respectively. The average absolute error (AAE) of training data and test data is 0.080 mJ and 0.225 mJ, respectively. Compared with the existing QSAR models in the literature, this model has better performance. In addition, the AD of the proposed model is clearly discussed, which is the required element for considering the QSAR model for regulatory application purposes.