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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 < 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
Direitos:  2016 Elsevier Ltd. All rights reserved.

info:eu-repo/semantics/openAccess

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