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基于GC-MS指纹图谱和多元统计学区分四川保宁醋和山西老陈醋的挥发性差异代谢产物

邝格灵,赵国忠   

  1. 天津科技大学食品工程与生物技术学院
  • 收稿日期:2019-08-27 修回日期:2020-06-20 出版日期:2020-08-25 发布日期:2020-08-19
  • 通讯作者: 赵国忠 E-mail:zhaogz@jiangnan.edu.cn

The Differential volatile metabolites of Sichuan Baoning Vinegar and Shanxi aged Vinegar were distinguished by GC-MS fingerprint and Multivariate Statistics

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  • Received:2019-08-27 Revised:2020-06-20 Online:2020-08-25 Published:2020-08-19

摘要: 摘 要:本文旨在研究四川保宁醋和山西老陈醋2种四大名醋的挥发性差异代谢产物。通过气相色谱-质谱联用(GC-MS)技术建立食醋的定量化学指纹图谱,基于色谱、质谱信息和保留指数定性和定量了6种四川保宁醋和9种山西老陈醋的挥发性化合物。利用SIMCA-P+14.1软件先进行无监督的主成分分析 (Principal Component Analysis, PCA) 来观察各样本之间的总体分布和整个分析过程的稳定性,然后用有监督的正交偏最小二乘判别分析 (Orthogonal Partial Least Squares Discrimination Analysis, OPLS-DA) 来区分各组间代谢轮廓的总体差异,最后选取位于S-plot图两端并且VIP (Variable Influence on Projection) >1的点作为对区分2种醋差异贡献最大的潜在标志物,找到组间的差异代谢。多元数据分析表明,糠醛,乙酸乙酯,2,4-二叔丁基酚,醋酸,乙酸苯乙酯和苯乙醇这6种风味物质是对2种食醋差异贡献最大的潜在标志物。

关键词: 气相色谱-质谱法, 食醋, 多元统计分析, 差异代谢

Abstract: Abstract: This paper aims to study the volatile metabolites of Sichuan Baoning Vinegar and Shanxi aged Vinegar. The volatile compounds of six kinds Sichuan Baoning vinegar and nine kinds of Shanxi aged vinegar were qualitatively and quantitatively determined by GC-MS. Using SIMCA - P + 14.1 software to unsupervised principal component analysis (Principal Component Analysis, PCA) to see the samples between the population distribution and stability of the whole process of analysis, and then used supervised orthogonal partial least-squares discriminant analysis (Orthogonal Partial Least Squares Discrimination Analysis, OPLS-DA) to differentiate between the metabolic profile of the overall difference between groups. Finally, the points located at both ends of s-plot and VIP(Variable Iinfluence on Projection) >1 are selected as the potential markers that contribute the most to the differentiation of differences between the two kinds of vinegar, and the differential metabolites between groups were found. Multivariate data analysis showed that six flavor substances, furfural, ethyl acetate, 2,4-bis(1,1-dimethylethyl)-phenol, acetic acid, phenyl ethyl acetate and phenyl ethanol, were the potential markers that contributed the most to the differences of the two vinegars.

Key words: gas chromatography-mass spectrometry, vinegars, multivariate statistical analysis, differential metabolites

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