Development of a Py-GC/MS method and its ...
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Title :
Development of a Py-GC/MS method and its application to identify marine microplastics
Author(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]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Université du Littoral Côte d'Opale [ULCO]
Amara, Rachid [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Université du Littoral Côte d'Opale [ULCO]
Laurentie, Michel [Auteur]
Laboratoire de Fougères - 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 [Auteur]
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Duflos, Guillaume [Auteur]
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]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Université du Littoral Côte d'Opale [ULCO]
Amara, Rachid [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Université du Littoral Côte d'Opale [ULCO]
Laurentie, Michel [Auteur]
Laboratoire de Fougères - 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 [Auteur]
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Duflos, Guillaume [Auteur]
![refId](/themes/Mirage2//images/idref.png)
Laboratoire de sécurité des aliments de Maisons-Alfort [LSAl]
Conference title :
MICRO 2018- Fate and Impact of Microplastics: Knowledge, Actions and Solutions
City :
Lanzarotte
Country :
Espagne
Start date of the conference :
2018-11-19
English keyword(s) :
Microplastics
Py-GC-MS
Method development
Py-GC-MS
Method development
HAL domain(s) :
Chimie/Chimie analytique
Sciences du Vivant [q-bio]/Alimentation et Nutrition
Sciences du Vivant [q-bio]/Alimentation et Nutrition
English abstract : [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 ...
Show more >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 degrees C, a split ratio of 5 and 300 degrees 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 mug. 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 mu-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.Show less >
Show more >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 degrees C, a split ratio of 5 and 300 degrees 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 mug. 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 mu-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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
ANR Project :
Source :