Optimization, performance, and application ...
Type de document :
Article dans une revue scientifique: Article original
PMID :
Titre :
Optimization, performance, and application of a pyrolysis-GC/MS method for the identification of microplastics
Auteur(s) :
Hermabessiere, Ludovic [Auteur]
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Himber, Charlotte [Auteur]
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Boricaud, Béatrice [Auteur]
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Kazour, Maria [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Amara, Rachid [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Cassone, Anne-Laure [Auteur]
Laboratoire des Sciences de l'Environnement Marin (LEMAR) [LEMAR]
Laurentie, Michel [Auteur]
Laboratoire de Fougères - ANSES
Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail [ANSES]
Paul-Pont, Ika [Auteur]
Laboratoire des Sciences de l'Environnement Marin (LEMAR) [LEMAR]
Soudant, Philippe [Auteur]
Laboratoire des Sciences de l'Environnement Marin (LEMAR) [LEMAR]
Dehaut, Alexandre []
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Duflos, Guillaume []
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Himber, Charlotte [Auteur]
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Boricaud, Béatrice [Auteur]
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Kazour, Maria [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Amara, Rachid [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Cassone, Anne-Laure [Auteur]
Laboratoire des Sciences de l'Environnement Marin (LEMAR) [LEMAR]
Laurentie, Michel [Auteur]
Laboratoire de Fougères - ANSES
Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail [ANSES]
Paul-Pont, Ika [Auteur]
Laboratoire des Sciences de l'Environnement Marin (LEMAR) [LEMAR]
Soudant, Philippe [Auteur]
Laboratoire des Sciences de l'Environnement Marin (LEMAR) [LEMAR]
Dehaut, Alexandre []
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Duflos, Guillaume []
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Titre de la revue :
Analytical and Bioanalytical Chemistry
Pagination :
6663 - 6676
Éditeur :
Springer Verlag
Date de publication :
2018-10
ISSN :
1618-2642
Mot(s)-clé(s) :
ACL
pyrolyse
chromatographie gazeuse/spectrométrie de masse
analyse
microplastique
plastique
pyrolyse
chromatographie gazeuse/spectrométrie de masse
analyse
microplastique
plastique
Mot(s)-clé(s) en anglais :
gas chromatography/mass spectrometry
ACL
microplastic
plastic
analysis
marine litter
Py-GC/MS
pyrolysis
ACL
microplastic
plastic
analysis
marine litter
Py-GC/MS
pyrolysis
Discipline(s) HAL :
Chimie/Chimie analytique
Sciences de l'environnement/Biodiversité et Ecologie
Sciences de l'environnement/Biodiversité et Ecologie
Résumé en anglais : [en]
Plastics are found to be major debris composing marine litter; microplastics (MP, < 5 mm) are found in all marine compartments. The amount of MPs tends to increase with decreasing size leading to a potential misidentification ...
Lire la suite >Plastics are found to be major debris composing marine litter; microplastics (MP, < 5 mm) are found in all marine compartments. The amount of MPs tends to increase with decreasing size leading to a potential misidentification when only visual identification is performed. These last years, pyrolysis coupled with gas chromatography/mass spectrometry (Py-GC/MS) has been used to get information on the composition of polymers with some applications on MP identification. The purpose of this work was to optimize and then validate a Py-GC/MS method, determine limit of detection (LOD) for eight common polymers, and apply this method on environmental MP. Optimization on multiple GC parameters was carried out using polyethylene (PE) and polystyrene (PS) microspheres. The optimized Py-GC/MS method require a pyrolysis temperature of 700 °C, a split ratio of 5 and 300 °C as injector temperature. Performance assessment was accomplished by performing repeatability and intermediate precision tests and calculating limit of detection (LOD) for common polymers. LODs were all below 1 μg. For performance assessment, identification remains accurate despite a decrease in signal over time. A comparison between identifications performed with Raman micro spectroscopy and with Py-GC/MS was assessed. Finally, the optimized method was applied to environmental samples, including plastics isolated from sea water surface, beach sediments, and organisms collected in the marine environment. The present method is complementary to μ-Raman spectroscopy as Py-GC/MS identified pigment containing particles as plastic. Moreover, some fibers and all particles from sediment and sea surface were identified as plastic.Lire moins >
Lire la suite >Plastics are found to be major debris composing marine litter; microplastics (MP, < 5 mm) are found in all marine compartments. The amount of MPs tends to increase with decreasing size leading to a potential misidentification when only visual identification is performed. These last years, pyrolysis coupled with gas chromatography/mass spectrometry (Py-GC/MS) has been used to get information on the composition of polymers with some applications on MP identification. The purpose of this work was to optimize and then validate a Py-GC/MS method, determine limit of detection (LOD) for eight common polymers, and apply this method on environmental MP. Optimization on multiple GC parameters was carried out using polyethylene (PE) and polystyrene (PS) microspheres. The optimized Py-GC/MS method require a pyrolysis temperature of 700 °C, a split ratio of 5 and 300 °C as injector temperature. Performance assessment was accomplished by performing repeatability and intermediate precision tests and calculating limit of detection (LOD) for common polymers. LODs were all below 1 μg. For performance assessment, identification remains accurate despite a decrease in signal over time. A comparison between identifications performed with Raman micro spectroscopy and with Py-GC/MS was assessed. Finally, the optimized method was applied to environmental samples, including plastics isolated from sea water surface, beach sediments, and organisms collected in the marine environment. The present method is complementary to μ-Raman spectroscopy as Py-GC/MS identified pigment containing particles as plastic. Moreover, some fibers and all particles from sediment and sea surface were identified as plastic.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Source :
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