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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Online Access: | http://hdl.handle.net/11573/1161019 https://doi.org/10.1016/j.wasman.2018.03.003 |
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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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1796305349287870464 |