8 Papers
41 Citations
S. Prévost is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: European union & Computer science. The author has an hindex of 5, co-authored 8 publications.
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Papers
Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data
Alexander A. Aksenov,Ivan Laponogov,Zheng Zhang,Sophie L. F. Doran,Ilaria Belluomo,Dennis Veselkov,Wout Bittremieux,Wout Bittremieux,Louis-Félix Nothias,Mélissa Nothias-Esposito,Katherine N. Maloney,Katherine N. Maloney,Biswapriya B. Misra,Alexey V. Melnik,Aleksandr Smirnov,Xiuxia Du,Kenneth L. Jones,Kathleen Dorrestein,Morgan Panitchpakdi,Madeleine Ernst,Madeleine Ernst,Justin J. J. van der Hooft,Justin J. J. van der Hooft,Mabel Gonzalez,Chiara Carazzone,Adolfo Amézquita,Chris Callewaert,James T. Morton,Robert A. Quinn,Amina Bouslimani,Andrea Georgina Albarracín Orio,Daniel Petras,Andrea M. Smania,Sneha P. Couvillion,Meagan C. Burnet,Carrie D. Nicora,Erika M. Zink,Thomas O. Metz,Viatcheslav B. Artaev,Elizabeth Humston-Fulmer,Rachel Gregor,Michael M. Meijler,Itzhak Mizrahi,Stav Eyal,Brooke A. Anderson,Rachel J. Dutton,Raphaël Lugan,Pauline Le Boulch,Yann Guitton,S. Prévost,Audrey Poirier,Gaud Dervilly,Bruno Le Bizec,Aaron Fait,Noga Sikron Persi,Chao Song,Kelem Gashu,Roxana Coras,Monica Guma,Julia Manasson,Jose U. Scher,Dinesh Kumar Barupal,Saleh Alseekh,Alisdair R. Fernie,Reza Mirnezami,Vasilis Vasiliou,Robin Schmid,Roman S. Borisov,Larisa N. Kulikova,Rob Knight,Mingxun Wang,George B. Hanna,Pieter C. Dorrestein,Kirill Veselkov +73 more
TL;DR: A machine learning approach, MSHub, is engineered to enable auto-deconvolution of gas chromatography–mass spectrometry data and workflows are designed to enable the community to store, process, share, annotate, compare and perform molecular networking of GC–MS data within theGNPS Molecular Networking analysis platform.
Analytical strategies to detect use of recombinant bovine somatotropin in food-producing animals
TL;DR: The use of recombinant bovine somatotropin (rbST) in animal production is strictly regulated by food-safety directives, particularly in the European Union as discussed by the authors.
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When LC-HRMS metabolomics gets ISO17025 accredited and ready for official controls – application to the screening of forbidden compounds in livestock
Gaud Dervilly-Pinel,Anne-Lise Royer,Elena Bozzetta,Marzia Pezzolato,Loïc Herpin,S. Prévost,Bruno Le Bizec +6 more
TL;DR: A metabolomics model dedicated to the detection of β-agonist administration in bovines has been developed and fully validated, and criteria have been proposed in agreement with EU expectations, enabling the very first official implementation of a metabolomics based strategy within French National Monitoring Plans.
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Improvement of estradiol esters monitoring in bovine hair by dansylation and liquid chromatography/tandem mass spectrometry analysis in multiple reaction monitoring and precursor ion scan modes
Emmanuelle Bichon,A. Béasse,S. Prévost,S. Christien,Frédérique Courant,Fabrice Monteau,B. Le Bizec +6 more
TL;DR: Developing and validate according to the current European standards a specific liquid chromatography/tandem mass spectrometry (LC/MS/MS) analytical strategy to monitor estrogen esters in bovine hair that has the advantage of detecting any (un)known estradiol ester and giving access to the [M + H](+) ion of the suspected ester through only a single analysis.
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Algorithmic Learning for Auto-deconvolution of GC-MS Data to Enable Molecular Networking within GNPS
Alexander A. Aksenov,Alexander A. Aksenov,Ivan Laponogov,Zheng Zhang,Sophie L. F. Doran,Ilaria Belluomo,Dennis Veselkov,Wout Bittremieux,Wout Bittremieux,Wout Bittremieux,Louis-Félix Nothias,Louis-Félix Nothias,Mélissa Nothias Esposito,Mélissa Nothias Esposito,Katherine N. Maloney,Katherine N. Maloney,Biswapriya B. Misra,Alexey V. Melnik,Kenneth L. Jones,Kathleen Dorrestein,Kathleen Dorrestein,Morgan Panitchpakdi,Madeleine Ernst,Madeleine Ernst,Justin J. J. van der Hooft,Justin J. J. van der Hooft,Mabel Gonzalez,Chiara Carazzone,Adolfo Amézquita,Chris Callewaert,James T. Morton,Robert A. Quinn,Amina Bouslimani,Amina Bouslimani,Andrea Georgina Albarracín Orio,Daniel Petras,Daniel Petras,Andrea M. Smania,Sneha P. Couvillion,Meagan C. Burnet,Carrie D. Nicora,Erika M. Zink,Thomas O. Metz,Viatcheslav B. Artaev,Elizabeth Humston Fulmer,Rachel Gregor,Michael M. Meijler,tzhak MizrahiI,Stav Eyal,Brooke Anderson,Rachel Dutton,Raphaël Lugan,Pauline Le Boulch,Yann Guitton,S. Prévost,Audrey Poirier,Gaud Dervilly,Bruno Le Bizec,Aaron Fait,Noga Sikron Persi,Chao Song,Kelem Gashu,Roxana Coras,Vasilis Vasiliou,Robin Schmid,Roman S. Borisov,Larisa N. Kulikova,Rob Knight,Mingxun Wang,Mingxun Wang,George B. Hanna,Pieter C. Dorrestein,Kirill Veselkov +72 more
TL;DR: A scalable machine learning workflow is engineered to enable the mass spectrometry community to store, process, share, annotate, compare, and perform molecular networking of GC-MS data, and introduces a “balance score” that quantifies the reproducibility of fragmentation patterns across all samples.