Data/hora: 09/06/2024 14:58:54

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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