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QSPR and q-RASPR predictions of the adsorption capacity of polyethylene, polypropylene and polystyrene microplastics for various organic pollutants in diverse aqueous environments

Environmental Science Nano 2024 6 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Md Mobarak Hossain, Arkaprava Banerjee, Mainak Chatterjee, Kunal Roy, M Cronin

Summary

Quantitative structure-property relationship (QSPR) and q-RASPR models were developed using experimental adsorption data to predict how organic pollutants adsorb onto polyethylene, polypropylene, and polystyrene microplastics in different aqueous environments. The models provide computational tools to assess microplastic-contaminant interactions without extensive laboratory testing.

Polymers
PE PP PS

In this study, experimental data on the adsorption of organic pollutants onto microplastics in different aqueous environments were used to develop QSPR and q-RASPR models.

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