Fast compressive Raman micro-spectroscopy to image and classify microplastics from natural marine environment
Type | Article | ||||||||||||
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Date | 2024-05 | ||||||||||||
Language | English | ||||||||||||
Author(s) | Grand Clément1, Scotté Camille1, 2, Prado Enora3, El Rakwe Maria3, Fauvarque Olivier3, Rigneault Hervé1 | ||||||||||||
Affiliation(s) | 1 : Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France 2 : INRAE, UMR ITAP, 361 Rue Jean François Breton, 34090 Montpellier, France 3 : Ifremer, RDT Research and Technological Development, F-29280 Plouzané, France |
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Source | Environmental Technology & Innovation (2352-1864) (Elsevier BV), 2024-05 , Vol. 34 , P. 103622 (10p.) | ||||||||||||
DOI | 10.1016/j.eti.2024.103622 | ||||||||||||
Keyword(s) | Microplastics, Microplastics detection, Raman imaging, compressive Raman, Raman spectroscopy | ||||||||||||
Abstract | The fast and reliable detection of micron-sized plastic particles from the natural marine environment is an important topic that is mostly addressed using spontaneous Raman spectroscopy. Due to the long (>tens of ms) integration time required to record a viable Raman signal, measurements are limited to a single point per microplastic particle or require very long acquisition times (up to tens of hours). In this work, we develop, validate, and demonstrate a compressive Raman technology using binary spectral filters and single-pixel detection that can image and classify six types of marine microplastic particles over an area of 1mm2 with a pixel dwell time down to 1.75 ms/pixel and a spatial resolution of 1 µm. This is x10-100 faster than reported in previous studies. |
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