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Development of QSAR model for predicting diffusion coefficients of PCBs and PAHs in LDPE |
ZHU Teng-yi, JIANG Yue, WU Jing, CHEN Hao-miao, HE Cheng-da |
College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China |
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Abstract The application of low density polyethylene (LDPE) as passive sampling devices for monitoring the concentration of hydrophobic organic contaminants (HOCs) requires data on diffusion coefficients (D) for the estimation of uptake rates. Most of the diffusion coefficients are usually obtained from experimental measurements, which are not readily available for all potential pollutants. Therefore, current work aimed to establish mathematical models for predicting D values with the physicochemical properties of chemicals. To make further improvements in measuring D values, this study focused to develop a quantitative structure-activity relationship (QSAR) model for predicting diffusion coefficients. The results of stepwise multiple regression indicated that QSAR model fits well with objectives, and had robustness and predictive capacity, with the determination coefficients (R2adj) of 0.941, cross-validation coefficients (Q2LOO) with 0.943, and with external validation coefficient (Q2ext) of 0.895. Mechanism interpretation suggested that the main factors governing the diffusion process in LDPE were van der Waals volumes. The results of current study provide an excellent tool for predicting D values of HOCs within the applicability domains.
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Received: 26 June 2018
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