Developing Predictive Models for Carrying Ability of Micro-Plastics towards Organic Pollutants.

ABSTRACT: Microplastics, which have been frequently detected worldwide, are strong adsorbents for organic pollutants and may alter their environmental behavior and toxicity in the environment. To completely state the risk of microplastics and their coexisting organics, the adsorption behavior of microplastics is a critical issue that needs to be clarified. Thus, the microplastic/water partition coefficient (log Kd) of organics was investigated by in silico method here. Five log Kd predictive models were developed for the partition of organics in polyethylene/seawater, polyethylene/freshwater, polyethylene/pure water, polypropylene/seawater, and polystyrene/seawater. The statistical results indicate that the established models have good robustness and predictive ability. Analyzing the descriptors sel

SUBMITTER: Wei X 

PROVIDER: S-EPMC6539320 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature