A semi-automated Raman micro-spectroscopy method for morphological and chemical characterizations of microplastic litter

被引：139

作者：

Frere, L. ^{[1
]}

Paul-Pont, I. ^{[1
]}

Moreau, J. ^{[2
]}

Soudant, P. ^{[1
]}

Lambert, C. ^{[1
]}

Huvet, A. ^{[3
]}

Rinnert, E. ^{[2
]}

机构：

[1] Inst Univ Europeen Mer, Lab Sci Environm Marin LEMAR, UMR 6539, CNRS UBO IRD Ifremer, F-29280 Plouzane, France

[2] IFREMER, Lab Detect Capteurs & Mesures, CS 10070, F-29280 Plouzane, France

[3] IFREMER, CNRS UBO IRD Ifremer, LEMAR UMR 6539, CS 10070, F-29280 Plouzane, France

来源：

MARINE POLLUTION BULLETIN | 2016年 / 113卷 / 1-2期

关键词：

Microplastics; Raman micro-spectroscopy; Surface seawater; Morphology; Environmental monitoring; Automating; MARINE-ENVIRONMENT; PLASTIC PARTICLES; PACIFIC-OCEAN; DEBRIS; QUANTIFICATION; IDENTIFICATION; SEDIMENTS; POLLUTION; TRANSPORT; ATLANTIC;

D O I：

10.1016/j.marpolbul.2016.10.051

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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%). (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：461 / 468

页数：8

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