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Characterization of donkey-meat flavor profiles by GC–IMS and multivariate analysis

Authors :
Limin Man
Wei Ren
Mengqi Sun
Yanrui Du
Han Chen
Huaxiu Qin
Wenqiong Chai
Mingxia Zhu
Guiqin Liu
Changfa Wang
Mengmeng Li
Source :
Frontiers in Nutrition, Vol 10 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

The distinctive flavor compounds of donkey meat are unknown. Accordingly, in the present study, the volatile compounds (VOCs) in the meat from SanFen (SF) and WuTou (WT) donkeys were comprehensively analyzed by gas chromatography–ion mobility spectrometry (GC-IMS) combined with multivariate analysis. A total of 38 VOCs, of which 33.33% were ketones, 28.89% were alcohols, 20.00% were aldehydes, and 2.22% were heterocycles, were identified. Ketones and alcohols were significantly more abundant for SF than for WT, whereas aldehydes showed the opposite trend. The donkey meats from the two strains were well differentiated using topographic plots, VOC fingerprinting, and multivariate analysis. A total of 17 different VOCs were identified as potential markers for distinguishing the different strains, including hexanal-m, 3-octenal, oct-1-en-3-ol, and pentanal-d. These results indicate that GC–IMS combined with multivariate analysis is a convenient and powerful method for characterizing and discriminating donkey meat.

Details

Language :
English
ISSN :
2296861X
Volume :
10
Database :
Directory of Open Access Journals
Journal :
Frontiers in Nutrition
Publication Type :
Academic Journal
Accession number :
edsdoj.1092845c67834b6180bd0012cc1d7660
Document Type :
article
Full Text :
https://doi.org/10.3389/fnut.2023.1079799