Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging

An innovative approach, based on HyperSpectral Imaging (HSI), was developed in order to set up an efficient method to analyze marine microplastic litter. HSI was applied to samples collected by surface-trawling plankton nets from several parts of the world (i.e. Arctic, Mediterranean, South Atlantic...

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Published in:Waste Management
Main Authors: Silvia Serranti, Roberta Palmieri, Giuseppe Bonifazi, Andrés Cózar
Other Authors: Serranti, Silvia, Palmieri, Roberta, Bonifazi, Giuseppe, Cózar, Andrés
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier Ltd 2018
Subjects:
Online Access:http://hdl.handle.net/11573/1161019
https://doi.org/10.1016/j.wasman.2018.03.003
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spelling ftunivromairis:oai:iris.uniroma1.it:11573/1161019 2024-04-14T08:07:56+00:00 Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging Silvia Serranti Roberta Palmieri Giuseppe Bonifazi Andrés Cózar Serranti, Silvia Palmieri, Roberta Bonifazi, Giuseppe Cózar, Andrés 2018 http://hdl.handle.net/11573/1161019 https://doi.org/10.1016/j.wasman.2018.03.003 eng eng Elsevier Ltd info:eu-repo/semantics/altIdentifier/pmid/29519600 info:eu-repo/semantics/altIdentifier/wos/WOS:000435064000012 volume:76 firstpage:117 lastpage:125 numberofpages:9 journal:WASTE MANAGEMENT http://hdl.handle.net/11573/1161019 doi:10.1016/j.wasman.2018.03.003 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85042870219 info:eu-repo/semantics/closedAccess characterization environmental monitoring hyperspectral imaging marine microplastic plastic identification oceans and sea waste product plastic water pollutants chemical waste management and disposal info:eu-repo/semantics/article 2018 ftunivromairis https://doi.org/10.1016/j.wasman.2018.03.003 2024-03-28T02:12:45Z An innovative approach, based on HyperSpectral Imaging (HSI), was developed in order to set up an efficient method to analyze marine microplastic litter. HSI was applied to samples collected by surface-trawling plankton nets from several parts of the world (i.e. Arctic, Mediterranean, South Atlantic and North Pacific). Reliable information on abundance, size, shape and polymer type for the whole ensemble of plastic particles in each sample was retrieved from single hyperspectral images. The simultaneous characterization of the polymeric composition of the plastic debris represents an important analytical advantage considering that this information, and even the validation of the plastic nature of the small debris, is a common flaw in the analysis of marine microplastic pollution. HSI was revealed as a rapid, non-invasive, non-destructive and reliable technology for the characterization of the microplastic waste, opening a promising way for improving the plastic pollution monitoring. Article in Journal/Newspaper Arctic Sapienza Università di Roma: CINECA IRIS Arctic Pacific Waste Management 76 117 125
institution Open Polar
collection Sapienza Università di Roma: CINECA IRIS
op_collection_id ftunivromairis
language English
topic characterization
environmental monitoring
hyperspectral imaging
marine microplastic
plastic identification
oceans and sea
waste product
plastic
water pollutants
chemical
waste management and disposal
spellingShingle characterization
environmental monitoring
hyperspectral imaging
marine microplastic
plastic identification
oceans and sea
waste product
plastic
water pollutants
chemical
waste management and disposal
Silvia Serranti
Roberta Palmieri
Giuseppe Bonifazi
Andrés Cózar
Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging
topic_facet characterization
environmental monitoring
hyperspectral imaging
marine microplastic
plastic identification
oceans and sea
waste product
plastic
water pollutants
chemical
waste management and disposal
description An innovative approach, based on HyperSpectral Imaging (HSI), was developed in order to set up an efficient method to analyze marine microplastic litter. HSI was applied to samples collected by surface-trawling plankton nets from several parts of the world (i.e. Arctic, Mediterranean, South Atlantic and North Pacific). Reliable information on abundance, size, shape and polymer type for the whole ensemble of plastic particles in each sample was retrieved from single hyperspectral images. The simultaneous characterization of the polymeric composition of the plastic debris represents an important analytical advantage considering that this information, and even the validation of the plastic nature of the small debris, is a common flaw in the analysis of marine microplastic pollution. HSI was revealed as a rapid, non-invasive, non-destructive and reliable technology for the characterization of the microplastic waste, opening a promising way for improving the plastic pollution monitoring.
author2 Serranti, Silvia
Palmieri, Roberta
Bonifazi, Giuseppe
Cózar, Andrés
format Article in Journal/Newspaper
author Silvia Serranti
Roberta Palmieri
Giuseppe Bonifazi
Andrés Cózar
author_facet Silvia Serranti
Roberta Palmieri
Giuseppe Bonifazi
Andrés Cózar
author_sort Silvia Serranti
title Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging
title_short Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging
title_full Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging
title_fullStr Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging
title_full_unstemmed Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging
title_sort characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging
publisher Elsevier Ltd
publishDate 2018
url http://hdl.handle.net/11573/1161019
https://doi.org/10.1016/j.wasman.2018.03.003
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Arctic
genre_facet Arctic
op_relation info:eu-repo/semantics/altIdentifier/pmid/29519600
info:eu-repo/semantics/altIdentifier/wos/WOS:000435064000012
volume:76
firstpage:117
lastpage:125
numberofpages:9
journal:WASTE MANAGEMENT
http://hdl.handle.net/11573/1161019
doi:10.1016/j.wasman.2018.03.003
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85042870219
op_rights info:eu-repo/semantics/closedAccess
op_doi https://doi.org/10.1016/j.wasman.2018.03.003
container_title Waste Management
container_volume 76
container_start_page 117
op_container_end_page 125
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