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Comparison of microbial communities and volatile profiles of wines made from mulberry and grape.
Ji, Mingyue; Gong, Jiangang; Tian, Yiling; Ao, Changwei; Li, Yue; Tan, Jianxin; Du, Guoqiang.
Afiliação
  • Ji M; College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China.
  • Gong J; College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China.
  • Tian Y; College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China.
  • Ao C; College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China.
  • Li Y; College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China.
  • Tan J; College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China. jianxintan@sina.com.
  • Du G; College of Horticulture, Hebei Agricultural University, Baoding, 071001, People's Republic of China. gdu@hebau.edu.cn.
Appl Microbiol Biotechnol ; 107(16): 5079-5094, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37382613
ABSTRACT
In this study, three kinds of wines separately made from mulberry (MW), grape (GW), or mulberry/grape (MGW) were developed and their enological parameters, sensory scores, volatile components, and microbiota were investigated and compared. Contrary to the order of residual sugar and acidity of the three kinds of wines, the order of alcohol content from high to low is GW, MW, and MGW. A total of 60 volatile components (VCs), including esters (17), alcohols (12), acids (6), aldehydes (7), ketones (3), alkenes (3), amines (3), alkanes (4), pyrazines (2), benzene (1), sulfide (1), and thiazole (1), were identified by gas chromatography-ion mobility spectrometer (GC-IMS). The fingerprint of VCs and principal component analysis revealed that the volatile profiles of MGW and GW were more similar in comparison to that of MW and were significantly correlated with the mass ratio of mulberry to grape. Lactobacillus, Weissella, Pantoea, Leuconostoc, Lactococcus, Paenibacillus, Pediococcus, and Saccharomyces were identified as the main microflora at the genus level shared by the MW, MGW, and GW, suggesting that the heterolactic bacteria may contribute more to the high content of volatile acids in MW and MGW. The heatmap of core microbiota and main VCs of MW, MGW, and GW suggested the complicated and significant correlation between them. The above data implied that the volatile profiles were more closely related to the raw materials of winemaking and markedly affected by the fermentation microorganisms. This study provides references for evaluation and characterization of MGW and MW and improvement of MGW and MW winemaking process. KEY POINTS • Fruit wine enological parameters, volatile profile, and microbiota were compared. • Sixty volatile compounds were identified by GC-IMS in three types of fruit wines. • Winemaking materials and microbiota affect volatile profiles of the fruit wines.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vinho / Vitis / Morus / Compostos Orgânicos Voláteis / Microbiota Tipo de estudo: Prognostic_studies Idioma: En Revista: Appl Microbiol Biotechnol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vinho / Vitis / Morus / Compostos Orgânicos Voláteis / Microbiota Tipo de estudo: Prognostic_studies Idioma: En Revista: Appl Microbiol Biotechnol Ano de publicação: 2023 Tipo de documento: Article