Flavor precursors identification and thermal degradation mechanisms of glucoerucin in fragrant rapeseed oil.

Fragrant rapeseed oil Glucoerucin Models Rapeseed Thermally induced aroma Widely targeted metabolism

Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
01 Mar 2024
Historique:
received: 12 04 2023
revised: 11 09 2023
accepted: 12 09 2023
medline: 26 10 2023
pubmed: 2 10 2023
entrez: 1 10 2023
Statut: ppublish

Résumé

The degradation products of glucosinolates endow rapeseed oil with a characteristic aroma, however, the mechanism remains unclear. In this study, 29 individual glucosinolates were identified in six rapeseeds (Brassica napus) using widely targeted metabolism, including 22 aliphatic, 5 aromatic, and 2 indole glucosinolates. Characterization of thermally induced aromas from new precursors-glucoerucin was performed in different pH matrices via headspace-solid phase microextraction and gas chromatography-mass spectrometry. Six glucoerucin degradation were identified including 5-methylthio-pentanenitrile and dimethyl trisulfide et al. The results of thermal model showed that Glucoerucin could generate volatile 5-methylthio-pentanenitrile via dehydration and formed 1-isothiocyanato-4-(methylsulfanyl)butane via (394.9 μg/kg) by the Rosen rearrangement further product pungent odors 4-isothiocyanato-1-butene (5.6 μg/kg) at pH 5. Sulfur-containing compounds included dimethyl disulfide and dimethyl trisulfide can provide pungent and cabbage notes in matrices at pH 7 and 9. The results provide a new understanding in the forming mechanism of characteristic odor in fragrant rapeseed oil.

Identifiants

pubmed: 37778265
pii: S0308-8146(23)02102-7
doi: 10.1016/j.foodchem.2023.137484
pii:
doi:

Substances chimiques

Rapeseed Oil 0
dimethyl trisulfide 3E691T3NL1
glucoerucin 21973-56-8
Glucosinolates 0
Volatile Organic Compounds 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

137484

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Qi Zhou (Q)

Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Key Laboratory of Oil Seed Processing of Ministry of Agriculture, Oil Crops and Lipids Process Technology National and Local Joint Engineering Laboratory, Wuhan, 430062, China. Electronic address: zhouqi01@caas.cn.

Chang Zheng (C)

Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Key Laboratory of Oil Seed Processing of Ministry of Agriculture, Oil Crops and Lipids Process Technology National and Local Joint Engineering Laboratory, Wuhan, 430062, China.

Fang Wei (F)

Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Key Laboratory of Oil Seed Processing of Ministry of Agriculture, Oil Crops and Lipids Process Technology National and Local Joint Engineering Laboratory, Wuhan, 430062, China.

Yini Yang (Y)

Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Key Laboratory of Oil Seed Processing of Ministry of Agriculture, Oil Crops and Lipids Process Technology National and Local Joint Engineering Laboratory, Wuhan, 430062, China.

Articles similaires

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Brassica napus Xanthomonas campestris Alternative Splicing Plant Diseases Disease Resistance
1.00
Animals Mice Odorants Neurons Olfactory Tubercle
Humans Periodontitis Male Female Nutrition Surveys

Classifications MeSH