Elsevier, Marine Pollution Bulletin, 1-2(113), p. 461-468
DOI: 10.1016/j.marpolbul.2016.10.051
Full text: Unavailable
00000 ; International audience ; 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