Abstract
Microplastics have become an emerging concerned global environmental pollution problem. Their strong adsorption towards the coexisting organic pollutants can cause additional environmental risks. Therefore, the adsorption capacity and mechanisms are necessary information for the comprehensive environmental assessments of both microplastics and organic pollutants. To overcome the lack of adsorption information, five quantitative structure–property relationship (QSPR) models were developed for predicting the microplastic/water partition coefficients (log Kd) of organics between polyethylene/seawater, polyethylene/freshwater, polyethylene/pure water, polypropylene/seawater, and polystyrene/seawater. All the QSPR models show good fitting ability (R2 = 0.811–0.939), predictive ability (Q2ext = 0.835–0.910, RMSEext = 0.369–0.752), and robustness (Qcv2 = 0.882–0.957). They can be used to predict the Kd values of organic pollutants (such as polychlorinated biphenyls, chlorobenzene, polycyclic aromatic hydrocarbons, antibiotics perfluorinated compounds, etc.) under different pH conditions. The hydrophobic interaction has been indicated as an important mechanism for the adsorption of organic pollutants to microplastics. In sea waters, the role of hydrogen bond interaction in adsorption is considerable. For polystyrene, π–π interaction contributes to the partitioning. The developed models can be used to quickly estimate the adsorption capacity of organic pollutants on microplastics in different types of water, providing necessary information for ecological risk studies of microplastics.
Highlights
Microplastics have become an emerging concerned global environmental pollution problem
quantitative structure–property relationship (QSPR) models were established for predicting the adsorption capacity of organic pollutants on PE in seawater, freshwater and pure water, on PP in seawater and on PS in seawater
The constructed models have two significant advantages: [1] the descriptors used in the models are not dependent on experimental values and can be obtained based on the structure of organic pollutants; [2] the models can be used to predict the log Kd values of ionizable compounds at various pH values
Summary
Microplastics have become an emerging concerned global environmental pollution problem. The adsorption capacity and mechanisms are necessary information for the comprehensive environmental assessments of both microplastics and organic pollutants. To overcome the lack of adsorption information, five quantitative structure–property relationship (QSPR) models were developed for predicting the microplastic/water partition coefficients (log Kd) of organics between polyethylene/seawater, polyethylene/freshwater, polyethylene/pure water, polypropylene/seawater, and polystyrene/seawater. All the QSPR models show good fitting ability (R2 = 0.811–0.939), predictive ability (Q2ext = 0.835–0.910, RMSEext = 0.369–0.752), and robustness (Qcv2 = 0.882–0.957) They can be used to predict the Kd values of organic pollutants (such as polychlorinated biphenyls, chlorobenzene, polycyclic aromatic hydrocarbons, antibiotics perfluorinated compounds, etc.) under different pH conditions. The developed models can be used to quickly estimate the adsorption capacity of organic pollutants on microplastics in different types of water, providing necessary information for ecological risk studies of microplastics. We collected Kd values for the three most frequently detected microplastics, including polyethylene (PE), polypropylene (PP) and polystyrene (PS) in different waters, and employed the n-octanol/
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