Determination of enantiomeric and stable isotope ratio fingerprints of active secondary metabolites in neroli (Citrus aurantium L.) essential oils for authentication by multidimensional gas chromatography and GC-C/P-IRMS.


Journal

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
ISSN: 1873-376X
Titre abrégé: J Chromatogr B Analyt Technol Biomed Life Sci
Pays: Netherlands
ID NLM: 101139554

Informations de publication

Date de publication:
15 Nov 2021
Historique:
received: 20 05 2021
revised: 20 09 2021
accepted: 15 10 2021
pubmed: 4 11 2021
medline: 2 2 2022
entrez: 3 11 2021
Statut: ppublish

Résumé

Neroli essential oil (EO), extracted from bitter orange blossoms, is one of the most expensive natural products on the market due to its poor yield and its use in fragrance compositions, such as cologne. Multiple adulterations of neroli EO are found on the market, and several authentication strategies, such as enantioselective gas chromatography (GC) and isotope ratio mass spectrometry (IRMS), have been developed in the last few years. However, neroli EO adulteration is becoming increasingly sophisticated, and analytical improvements are needed to increase precision. Enantiomeric and compound-specific isotopic profiling of numerous metabolites using multidimensional GC and GC-C/P-IRMS was carried out. These analyses proved to be efficient for geographical tracing, especially to distinguish neroli EO of Egyptian origin. In addition, δ

Identifiants

pubmed: 34731745
pii: S1570-0232(21)00484-0
doi: 10.1016/j.jchromb.2021.123003
pii:
doi:

Substances chimiques

Carbon Isotopes 0
Oils, Volatile 0
Plant Oils 0
Deuterium AR09D82C7G

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123003

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Aurélien Cuchet (A)

Albert Vieille SAS, 629 Route de Grasse, 06220 Vallauris, France; Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France. Electronic address: aurelien.cuchet@isa-lyon.fr.

Anthony Anchisi (A)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.

Frédéric Schiets (F)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.

Yohann Clément (Y)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.

Pierre Lantéri (P)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.

Christelle Bonnefoy (C)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.

Patrick Jame (P)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.

Elise Carénini (E)

Albert Vieille SAS, 629 Route de Grasse, 06220 Vallauris, France.

Hervé Casabianca (H)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.

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Classifications MeSH