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High-throughput sequencing-based characterization of the predominant microbial community associated with characteristic flavor formation in Jinhua Ham.
- Source :
-
Food microbiology [Food Microbiol] 2021 Apr; Vol. 94, pp. 103643. Date of Electronic Publication: 2020 Sep 15. - Publication Year :
- 2021
-
Abstract
- Our purpose was to investigate the main bacterial microbiota and volatile profiles in the Chinese traditional dry-cured product-Jinhua ham during different processing stages and to analyze the role of the main microbiota in the formation of characteristic flavor. We determined the microbiota of Jinhua ham by using 16 S high throughput sequencing, and found that Staphylococcus constituted the predominant microbiota throughout the flavor formation process. Based on the volatile profiles of Jinhua dry-cured products from 11 different processing via SPME-GC-MS analysis, Aldehydes were the main groups of volatiles, with the most abundant ones being hexanal (13.89%) and nonanal (3.96%). To further investigate the relationship between predominant microbiota and the major volatile compounds in Jinhua ham, we screened and isolated genus Staphylococcus with high protease and lipase activities. The main Staphylococcus isolates, S. saprophyticus (53.4%) and S. equorum (31.0%) are related to the yields of aldehydes by producing hexanal, nonanal, benzaldehyde, and phenylacetaldehyde, indicating their contributions on the formation of characteristic flavor substances in Jinhua ham.<br /> (Copyright © 2020 Elsevier Ltd. All rights reserved.)
- Subjects :
- Animals
Bacteria classification
Bacteria genetics
Bacteria isolation & purification
Bacteria metabolism
Flavoring Agents metabolism
Gas Chromatography-Mass Spectrometry
High-Throughput Nucleotide Sequencing
Meat Products analysis
Microbiota
Pork Meat analysis
Swine
Taste
Volatile Organic Compounds chemistry
Volatile Organic Compounds metabolism
Fermented Foods microbiology
Flavoring Agents chemistry
Meat Products microbiology
Pork Meat microbiology
Subjects
Details
- Language :
- English
- ISSN :
- 1095-9998
- Volume :
- 94
- Database :
- MEDLINE
- Journal :
- Food microbiology
- Publication Type :
- Academic Journal
- Accession number :
- 33279069
- Full Text :
- https://doi.org/10.1016/j.fm.2020.103643