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First determination on two kinds of microplastic-air partition coefficients of seven per- and polyfluoroalkyl substances under environmentally relative conditions: Experiment measurement and model prediction

Journal of Hazardous Materials 2023 6 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.
Yun Deng, Xu Wang, Fei Wang Lin Peng, Xu Wang, Qiang Li, Xu Wang, Xu Wang, Gang Ren, Fei Wang Fei Wang Lin Peng, Fei Wang

Summary

This study measured, for the first time, how PFAS "forever chemicals" partition between microplastic surfaces and air under real environmental conditions. Using two common plastics (HDPE and polyurethane), the researchers found that PFASs can volatilize off microplastics — and that higher temperatures and humidity increase this transfer. This matters because microplastics in the environment may act not just as carriers of PFAS in water, but also as sources that re-release these chemicals into air, expanding exposure pathways.

Microplastics (MPs) in the environment are the sink and vector of organic contaminants, including per- and polyfluoroalkyl substances (PFASs). Although PFASs are low- and non-volatile compounds, they have the potential to partition and diffuse from MP into the gas phase in the environmental functions. Herein, the MP-air partition coefficient (K) of seven PFASs was measured using a solid-fugacity meter. The PFAS K values in two MPs (high-density polyethylene (HDPE) and thermoplastic polyurethane (TPU)) were determined under different times, temperatures, and relative humidities (RH), and a model was developed to predict the PFAS K values based on the measured data. The results showed that the K of PFASs increased with the prolonged partition time until 90 mins, and higher temperature and RH facilitated the distribution of PFASs in MPs into the air phase, leading to smaller K values. Moreover, the derived equation for predicting PFAS log K values was robust with 0.79 of an adjusted square of correlation coefficient (R = 0.79) and 0.35 of root mean squared error (RMSE = 0.35). These findings provided the first knowledge for understanding the partition behavior and fate of PFASs in the MP-air microenvironment.

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