Coupling electronic nose with GC-MS improves flavor recognition and grade differentiation of Zhenjiang aromatic vinegar

被引:21
|
作者
Wang, Li [1 ]
Huang, Xingyi [1 ]
Wang, Chengquan [1 ]
Aheto, Joshua Harrington [1 ]
Chang, Xianhui [1 ]
Yu, Shanshan [1 ]
Zhang, Xiaorui [1 ]
Wang, Yu [1 ]
机构
[1] Jiangsu Univ, Sch Food & Biol Engn, Xuefu Rd 301, Zhenjiang 212013, Jiangsu, Peoples R China
基金
国家重点研发计划;
关键词
VOLATILE SULFUR-COMPOUNDS; SOLID-STATE FERMENTATION; MASS-SPECTROMETRY; RED WINE; ODORANTS; IDENTIFICATION;
D O I
10.1111/jfpe.13806
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this study, the flavor volatile profiles of five grades of Zhenjiang aromatic vinegar (ZAV) were compared using a gas chromatography-mass spectrometer (GC-MS) and electronic nose (E-nose). A total of 55 volatile compounds were identified, with 14 volatile compounds, including furfural, acetic acid, tetramethylpyrazine, phenethyl acetate, and phenylethyl alcohol, being identified as the key volatile compounds causing significant differences between different grades of ZAV samples. Principal component analysis (PCA) analysis of E-nose data revealed that the W5S, W1W, W2W, W1S, and W2S sensors with high signal intensity to all ZAV samples correctly categorized the five grades of ZAV samples. The correlation analysis results suggested that the response signal intensities of W5S, W1W, and W2W had significant positive correlations with the abundances of acetic acid, isobutyric acid, ethyl phenylacetate, 3-hydroxy-2-butanone, 2,3-butanedione, 2-acetylfuran, etc., adding to the evidence that W5S, W1W, and W2W sensors were sensitive to nitrogen oxides, sulfur compounds, pyrazines, and aromatic components. Based on the findings, it is possible to conclude that E-nose, in conjunction with chemometric pattern recognition methods, can be used to differentiate between different grades of ZAV based on volatile compounds. Practical Applications Different grades of Zhenjiang aromatic vinegar (ZAV) were distinguished by physical and chemical detection of total acid, nonvolatile acid, amino acid nitrogen and other indicators. In order to simplify the detection work, this study was to establish a rapid and feasible method for achieving ZAV grades differentiation according to their flavor volatile compounds. PCA of E-nose data showed that the five grades of ZAV samples were well classified by the W5S, W1W, W2W, W1S, and W2S sensors. The correlation analysis results suggested that the response signal intensities of W5S, W1W, and W2W had significant positive correlations with the abundances of acetic acid, isobutyric acid, ethyl phenylacetate, 3-hydroxy-2-butanone, etc., which adds to the proof that W5S, W1W, and W2W sensors were sensitive to nitrogen oxides, sulfur compounds, pyrazines and aromatic components. Therefore, E-nose can be used as a rapid and nondestructive testing tool for quality measurements of ZAV.
引用
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页数:13
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