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Optimization and application of pretreatment method of microplastics detection in municipal solid waste landfills.

Authors :
Zheng, Saqi
Zhou, Baiyu
Guo, Nanfei
Li, Naying
Wu, Jialun
Chen, Yong
Han, Zhiyong
Source :
Waste Management. Jun2024, Vol. 183, p260-270. 11p.
Publication Year :
2024

Abstract

[Display omitted] • FTIR, mass reduction, and SEM reveal the effects of the digestion solution. • 30 % H 2 O 2 is the optimal digestion solution, which is the least harmful to MPs. • Elucidating the composition of MPs in landfills: PE, PP, PS, and PET dominate. The landfill is one of the most important sources of microplastics (MPs). The pretreatment method is a precondition of microplastics study for the presence of complex substances in landfills. Therefore, it is essential to examine the impact of different pretreatment methods on the microplastics detection. A literature review and a comparison experiment on digestion solutions were performed to establish a comprehensive identification method for MPs in landfills. When exposed to of 30 % H 2 O 2 , minimal mass reduction of PE, PP and PET were 4.00 %, 3.00 % and 3.00 % respectively, and the least surface damage was observed in MPs, while exhibiting the most optimal peak value for infrared spectral characteristics. It is demonstrated that the effect of 30 % H 2 O 2 dissolution was superior compared to 10 % KOH and 65 % HNO 3. The method was subsequently utilized to investigate the distribution of MPs in a landfill. The dominant MPs were polyethylene (PE, 18.56–23.91 %), polyethylene terephthalate (PET, 8.80–18.66 %), polystyrene (PS, 10.31–18.09 %), and polypropylene (PP, 11.60–14.91 %). The comprehensive identification method of "NaCl density separation + 30 % H 2 O 2 digestion + NaI density separation + sampling microscope + Mirco-FTIR" is suitable for the detection of MPs in landfills. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0956053X
Volume :
183
Database :
Academic Search Index
Journal :
Waste Management
Publication Type :
Academic Journal
Accession number :
177566464
Full Text :
https://doi.org/10.1016/j.wasman.2024.05.013