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Variation of Young's modulus suggested the main active sites for four different aging plastics at an early age time

Journal of Hazardous Materials 2024 8 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Xueqin Chen, Wenyi Huang, Yi Tang, Runzhe Zhang, Xinyi Lu, Yi Liu, Mude Zhu, Xiaoyun Fan

Summary

Researchers measured changes in Young's modulus — a measure of material stiffness — in microplastic particles of four different polymer types following environmental degradation, finding that mechanical properties changed in distinct patterns depending on the polymer's crystalline structure and degradation pathway. The results provide material-specific data on how weathering alters the physical behavior of microplastics in the environment.

Precisely determining which bonds are more sensitive when plastic aging occurs is critical to better understand the mechanisms of toxic release and microplastics formation. However, the relationship between chemical bonds with the active aging sites changes and the aging behavior of plastics at an early age is still unclear. Herein, the mechanical behavior of four polymers with different substituents was characterized by the high-resolution AFM. Young's modulus (YM) changes suggested that the cleavage of C-Cl bonds in PVC, C-H bonds in PE and PP, and C-F bonds in PTFE are the main active aging sites for plastic aging. The aging degree of the plastics followed the order of PVC > PP > PE > PTFE. Two aging periods exhibited different YM change behavior, the free radical and cross-linking resulted in a minor increase in YM during the initiation period. Numerous free radicals formed and cross-linking reaction happened, causing a significant increase in YM during the propagation period. Raman spectroscopy verified the formation of microplastics. This research develops promising strategies to quantitatively evaluate the aging degrees using AFM and establish the relationship between chemical bonds and mechanical behavior, which would provide new method to predict plastic pollution in actual environments.

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