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Metabolomics as a tool for the authentication of rose extracts used in flavour and fragrance area

Laure Saint-Lary 1,2,3 ; Céline Roy 3 ; Jean-Philippe Paris 2 ; Jean-Francois Martin 4 ; Olivier P. Thomas 1,5 ; Xavier Fernandez 1

1 Institut de Chimie de Nice, UMR 7272 Université Nice Sophia Antipolis, CNRS, UFR Sciences, 28 Avenue Parc Valrose, 06108 Nice Cedex 2, France 2 Payan Bertrand, 28, Av. Jean XXIII, 06130 Grasse, France 3 European Research Institute on Natural Ingredients (ERINI), Espace Jacques-Louis Lions, 4 Traverse Dupont, 06130 Grasse, France 4 INRA ToxAlim, UMR 1331, 180 Chemin de Tournefeuille, 31300 Toulouse, France 5 Institut Méditerranéen de Biodiversité et d’Ecologie marine et continentale (IMBE), Aix-Marseille Université, CNRS, IRD, Avignon Université, Station Marine d’Endoume, Rue de la Batterie des Lions, 13007 Marseille, France

Natural extracts used in flavour and fragrances are exposed to authentication issues. Companies working in this industrial market acquire the raw materials locally but also abroad, sourcing exotic plants with specific olfactive features or lower costs of production. The geographical origin, the botanical variety, environmental conditions, extraction processes and storage conditions represent some parameters affecting the natural extract quality. All these factors are likely to affect the sensorial properties and especially the organoleptic characteristics of the extract. In addition, fraudulent practices known as adulterations have also an impact on the quality. Sensitive and precise analytical techniques are required to identify adulterations among other sources of variability. In this context, the highly valuable rose absolute was selected as a model study for its importance in perfumery. The existence of two botanical species and several production countries are additional reasons that make this extract an interesting case study. Because the usual GC–MS metabolomic approach is not able to cover the broad range of non-volatile compounds, complementary approaches are required. An UHPLC-ToFMS fingerprinting approach was therefore developed to allow the identification of non-volatile markers of the two closely related species of the genus Rosa. Thus, 12-oxophytodienoic acid was identified as a biomarker (level 2 according to MSI guideline) enabling the distinction between R. centifolia and R. damascena. Our results finally underline the efficiency of the UHPLC-ToFMS metabolomic approach for the qualification of odorant extracts.

Metabolomics Non-targeted Validation Authentication Absolutes UHPLC-ToFMS Rosa centifolia Rosa damascena

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