Data/hora: 10/06/2024 10:18:14

Provedor de dados: 	5	
País: 	France	
Título: 	A semi-automated Raman micro-spectroscopy method for morphological and chemical characterizations of microplastic litter	
Autores: 	Frere, L.; Paul-pont, I.; Moreau, Julien; Soudant, P.; Lambert, C.; Huvet, Arnaud; Rinnert, Emmanuel.	
Data: 	2016-12	
Ano: 	2016	
Palavras-chave: 	Microplastics; Raman micro-spectroscopy; Surface seawater; Morphology; Environmental monitoring; Automating.	
Resumo: 	Every step of microplastic analysis (collection, extraction and characterization) is time-consuming, representing an obstacle to the implementation of large scale monitoring. This study proposes a semi-automated Raman micro-spectroscopy method coupled to static image analysis that allows the screening of a large quantity of microplastic in a time-effective way with minimal machine operator intervention. The method was validated using 103 particles collected at the sea surface spiked with 7 standard plastics: morphological and chemical characterization of particles was performed in &lt; 3 h. The method was then applied to a larger environmental sample (n = 962 particles). The identification rate was 75% and significantly decreased as a function of particle size. Microplastics represented 71% of the identified particles and significant size differences were observed: polystyrene was mainly found in the 2–5 mm range (59%), polyethylene in the 1–2 mm range (40%) and polypropylene in the 0.335–1 mm range (42%).	
Tipo: 	Text	
Idioma: 	Inglês	
Identificador: 	https://archimer.ifremer.fr/doc/00357/46802/46976.pdf

DOI:10.1016/j.marpolbul.2016.10.051

https://archimer.ifremer.fr/doc/00357/46802/	
Editor: 	Pergamon-elsevier Science Ltd	
Formato: 	application/pdf	
Fonte: 	Marine Pollution Bulletin (0025-326X) (Pergamon-elsevier Science Ltd), 2016-12 , Vol. 113 , N. 1-2 , P. 461-468	
Fonte: 	2016 Elsevier Ltd. All rights reserved.

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