Differences analysis of non-volatile metabolites of different flavor types Baijiu,deer antler wine and deer blood wine based on LC-MS/MS
In order to comprehensively compare the differences in non-volatile metabolites among the base liquor of the light-flavor (Qingxiangxing) Baijiu (FB), light-flavor deer antler wine (FP), sauce-flavor (Jiangxiangxing) Baijiu (MB), sauce-flavor deer antler wine (MP), and sauce-flavor deer blood wine (...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Department of China Brewing
2025-02-01
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| Series: | Zhongguo niangzao |
| Subjects: | |
| Online Access: | https://manu61.magtech.com.cn/zgnz/fileup/0254-5071/PDF/0254-5071-2025-44-2-65.pdf |
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| Summary: | In order to comprehensively compare the differences in non-volatile metabolites among the base liquor of the light-flavor (Qingxiangxing) Baijiu (FB), light-flavor deer antler wine (FP), sauce-flavor (Jiangxiangxing) Baijiu (MB), sauce-flavor deer antler wine (MP), and sauce-flavor deer blood wine (MA), the differences in metabolite fractions among the five alcoholic drinks were identified and analyzed using liquid chromatography- tandem mass spectrometry (LC-MS/MS). The model was constructed using principal component analysis (PCA) and orthogonal partial least squares- discriminant analysis (OPLS-DA), and key differential metabolites were screened using the variable importance in the projections (VIP) values and P values of variance analysis, and cluster analysis (CA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathway analysis were performed. The results showed that a total of 124 non-volatile metabolites were detected in the five alcoholic drinks samples, including 45 amino acids, 8 organic acids, 4 cinnamic acid derivatives, 15 sugars, 18 lipids, 3 amines, 2 alcohols, 3 vitamins, 1 furazone, 11 benzenes, 4 indole carboxylic acids, 1 nucleotide, and 9 others. The drinks could be effectively distinguished by both PCA and OPLS-DA. A total of 43 key differential metabolites (VIP≥1 and P<0.05) were screened. By cluster analysis, MA and MP were clustered together as one group, and FB, FP and MB were clustered together as one group in the five drinks. KEGG metabolic pathway analysis showed that L-threonine, L-phenylalanine, L-tyrosine and L-homocysteine could be used as an important basis to differentiate the five drinks. |
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| ISSN: | 0254-5071 |