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A multi-target QSAR model for simultaneously predicting the rate constants of reactions across multiple oxidation
Yawei Liu1, Zhiquan Wang1, Xiangyong Zheng1
1School of Life and Environmental Science, Wenzhou University, Wenzhou, Zhejiang 325035, China; National & Local Joint Engineering Research Center for Ecological Treatment Technology of Urban Water Pollution, Wenzhou University, Wenzhou 325035, China; Zhejiang Provincial Engineering Laboratory of Ecological Treatment Technology for Urban Water Pollution, Wenzhou, Zhejiang 325035, China.
None:
The chemical degradation of volatile organic compounds (VOCs) in the troposphere is primarily governed by reactions with hydroxyl radicals (•OH), ozone (O3), and nitrate radicals (NO3•). The corresponding reaction rate constants-kOH, kO3 and kNO3-are essential indicators for evaluating the atmospheric lifetime and exposure risk of VOCs. Most previous studies on predicting these rate constants have focused on individual oxidation systems. In contrast, this study compiled a comprehensive dataset of 462 experimentally determined rate constants (182 kOH, 83 kO3, and 197 kNO3) and established the connection among the three oxidation systems based on differences in oxidation potential (E0). A multi-target quantitative structure-activity relationship (QSAR) model was developed to simultaneously predict kOH, kO3 and kNO3 values. The optimal model (R2 = 0.896, RMSE = 0.756, and Q2 = 0.898) incorporates three variables: E0, EHOMO (energy of the highest occupied molecular orbital), and f (-)x (electrophilic Fukui index). Comparative analysis with previously reported QSAR models further confirms that EHOMO is the most critical quantum chemical parameter influencing the degradation rates of VOCs. The proposed model has undergone rigorous internal and external validation, including applicability domain analysis, demonstrating its strong predictive accuracy and robustness.
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