Decreasing the complexity of UHPLC-HR/AM-MS data by targeted Kendrick mass defect filtering and 3D Van Krevelen representation strategies to monitor wine polyphenol polymerisation - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Decreasing the complexity of UHPLC-HR/AM-MS data by targeted Kendrick mass defect filtering and 3D Van Krevelen representation strategies to monitor wine polyphenol polymerisation

Résumé

Decreasing the complexity of UHPLC-HR/AM-MS data by targeted Kendrick mass defect filtering and 3D Van Krevelen representation strategies to monitor wine polyphenol polymerisation. JFSM 2016 33. journées françaises de spectrométrie de masse
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Dates et versions

hal-01837814 , version 1 (12-07-2018)

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  • HAL Id : hal-01837814 , version 1
  • PRODINRA : 381501

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Nicolas Sommerer, Anna Vallverdu Queralt, Emmanuelle Meudec, Matthias Eder, Rosa Maria Lamuela-Raventós, et al.. Decreasing the complexity of UHPLC-HR/AM-MS data by targeted Kendrick mass defect filtering and 3D Van Krevelen representation strategies to monitor wine polyphenol polymerisation. JFSM 2016 33. journées françaises de spectrométrie de masse, Sep 2016, Bordeaux, France. ⟨hal-01837814⟩
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