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Prediction of organic compounds adsorbed by polyethylene and chlorinated polyethylene microplastics in freshwater using QSAR

Environmental Research 2021 48 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Bingxin Gui, Xiaotian Xu, Shengnan Zhang, Yue Wang, Chao Li, Dongmei Zhang, Limin Su, Yuanhui Zhao

Summary

Researchers used QSAR modeling to predict the adsorption behavior of 13 organic compounds onto polyethylene and chlorinated polyethylene microplastics under freshwater conditions, finding that most chemicals exhibited higher adsorption to chlorinated polyethylene than to standard polyethylene.

Polymers
Study Type Environmental

Microplastics (MPs), a growing class of emerging pollutants in the environment, have attracted widespread attention due to their adsorption properties. Recent research on MPs has mainly concentrated on seawater, and little work has been conducted on freshwater. Investigating and predicting the adsorption behavior of organic pollutants by MPs are necessary in freshwater. In this study, the adsorption behavior of 13 organic chemicals by polyethylene (PE) and chlorinated polyethylene (CPE) MPs was determined under freshwater conditions. Results shows the majority of the organic chemicals exhibit no distinctive differences in their adsorption on two MPs. However, the adsorption of polycyclic aromatic hydrocarbons and chlorobenzene on CPE is obviously stronger than that on PE, and the result is a counter for two pesticides. Quantitative structure activity relationship (QSAR) analysis was performed for the prediction of adsorption capacity. A QSAR model with acceptable performance (R = 0.8586) was built to predict the adsorptive affinity (expressed as logK) of organic compounds on the PE MPs via multivariable linear regression (MLR) on forty-nine determined and collected data. The octanol/water partition coefficient (logK) and excess molar refractive index (E) play dominant roles in the model. A QSAR model with satisfactory performance (R = 0.9302) was also established for logK values from CPE MPs in freshwater by using 13 adsorption data determined. The logK and most negative charge on Cl atom (Q) play decisive roles in the adsorption. The findings can provide a scientific basis for the risk assessment of waters contaminated by MPs and organic pollutants.

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