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Development of a solubility parameter calculation-based method as a complementary tool to traditional techniques for indoor dust microplastic determination and risk assessment

Journal of Hazardous Materials 2023 6 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Shanjun Song, Limei Cai, Yuhui Liu, Zijuan Peng, Chunyu Liu, Hui Jiao, Penghui Li, Qian Liu, Miao Yu, Tao Zhou, Qinghe Zhang, Henner Hollert, Xingchen Zhao, Guibin Jiang

Summary

Researchers developed a novel solubility parameter-based method for detecting microplastics in indoor dust, analyzing 69 samples and finding widespread contamination dominated by tire wear particles, polyester, and polyethylene across residential environments.

Polymers

Herein, a method based on solubility parameter calculation was first used to analyze microplastics in indoor dust. The limit of quantification (LOQ) reached 0.2 mg/g, and the result of reference material SRM 2585 (n = 3) was 14.8 mg/g ± 1.8 %, suggesting satisfying sensitivity and precision. Recoveries of spiking experiments were > 80 % with no obvious matrix interferences observed, except ethylene propylene diene monomer (EPDM) MPs. Further, 69 indoor dust samples were analyzed to verify the method and to assess exposure scenarios for graduate students in Tianjin, China. EPDM was identified in an indoor environment for the first time as the second most widely detected type after PET in this work. The mass-based result is complementary to the outcomes from thermogravimetric analysis-gas chromatography-mass spectrometry and laser direct infrared imaging. Significant correlations were found between total organic carbon (TOC), microplastics, and BDE-209 concentrations, indicating microplastics important contaminant vectors in indoor dust. Dormitory stays and PET contributed the most to health risks among the three exposure scenarios and detected four polymers, respectively. This work provides an approach with the potential for the standardized determination of microplastics in complex environmental matrices and reveals exposure characteristics of indoor dust microplastics.

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