Analysis on the difference of volatile flavor components in strong-flavor Baijiu base liquor with different grades

In order to analyze the difference of volatile flavor components in strong-flavor (Nongxiangxing) Baijiu base liquor with different grades, the volatile flavor components in 4 grades of strong-flavor Baijiu base liquor were analyzed by gas chromatography-mass spectrometry (GC-MS) technology. Princip...

Full description

Saved in:
Bibliographic Details
Main Author: YUE Xiaolin, XIANG Shuangquan, QIAN Yu, LIAN Shengqiang, YANG Guorui, LAN Xiaoqin, TAN Wenyuan
Format: Article
Language:English
Published: Editorial Department of China Brewing 2025-06-01
Series:Zhongguo niangzao
Subjects:
Online Access:https://manu61.magtech.com.cn/zgnz/fileup/0254-5071/PDF/0254-5071-2025-44-6-258.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849343684918640640
author YUE Xiaolin, XIANG Shuangquan, QIAN Yu, LIAN Shengqiang, YANG Guorui, LAN Xiaoqin, TAN Wenyuan
author_facet YUE Xiaolin, XIANG Shuangquan, QIAN Yu, LIAN Shengqiang, YANG Guorui, LAN Xiaoqin, TAN Wenyuan
author_sort YUE Xiaolin, XIANG Shuangquan, QIAN Yu, LIAN Shengqiang, YANG Guorui, LAN Xiaoqin, TAN Wenyuan
collection DOAJ
description In order to analyze the difference of volatile flavor components in strong-flavor (Nongxiangxing) Baijiu base liquor with different grades, the volatile flavor components in 4 grades of strong-flavor Baijiu base liquor were analyzed by gas chromatography-mass spectrometry (GC-MS) technology. Principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were conducted based on the results, the key flavor components were screened based on odor activity value (OAV), the different flavor components were screened using variable importance in the projection (VIP) values, and the discriminant model was established combined with machine learning. The results showed that a total of 44 common volatile flavor components were detected in 4 grades of strong-flavor Baijiu base liquor by GC-MS, including 17 alcohols, 12 esters, 5 acids, 5 aldehydes and ketones, and 5 others. The 4 grades of strong-flavor Baijiu base liquor could be effectively distinguished by PCA and OPLS-DA. A total of 21 key flavor components (OAV>1) and 12 differential flavor components (VIP>1) were screened out. The 3 discriminative models were constructed through machine learning, among them, the random forest model had the optimal discriminative effect with an accuracy of 100%.
format Article
id doaj-art-ec005ec06928442d8a3043127cdb0995
institution Kabale University
issn 0254-5071
language English
publishDate 2025-06-01
publisher Editorial Department of China Brewing
record_format Article
series Zhongguo niangzao
spelling doaj-art-ec005ec06928442d8a3043127cdb09952025-08-20T03:42:53ZengEditorial Department of China BrewingZhongguo niangzao0254-50712025-06-0144625826510.11882/j.issn.0254-5071.2025.06.037Analysis on the difference of volatile flavor components in strong-flavor Baijiu base liquor with different gradesYUE Xiaolin, XIANG Shuangquan, QIAN Yu, LIAN Shengqiang, YANG Guorui, LAN Xiaoqin, TAN Wenyuan01. School of Chemical Engineering, Sichuan University of Science and Engneering, Zigong 643000, China; ;2. Technical Center, Yibin Jinxilai Liquor Industry Co., Ltd., Yibin 644002, ChinaIn order to analyze the difference of volatile flavor components in strong-flavor (Nongxiangxing) Baijiu base liquor with different grades, the volatile flavor components in 4 grades of strong-flavor Baijiu base liquor were analyzed by gas chromatography-mass spectrometry (GC-MS) technology. Principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were conducted based on the results, the key flavor components were screened based on odor activity value (OAV), the different flavor components were screened using variable importance in the projection (VIP) values, and the discriminant model was established combined with machine learning. The results showed that a total of 44 common volatile flavor components were detected in 4 grades of strong-flavor Baijiu base liquor by GC-MS, including 17 alcohols, 12 esters, 5 acids, 5 aldehydes and ketones, and 5 others. The 4 grades of strong-flavor Baijiu base liquor could be effectively distinguished by PCA and OPLS-DA. A total of 21 key flavor components (OAV>1) and 12 differential flavor components (VIP>1) were screened out. The 3 discriminative models were constructed through machine learning, among them, the random forest model had the optimal discriminative effect with an accuracy of 100%.https://manu61.magtech.com.cn/zgnz/fileup/0254-5071/PDF/0254-5071-2025-44-6-258.pdfstrong-flavor baijiu|base liquor|volatile flavor component|chemometrics|machine learning|difference analysis
spellingShingle YUE Xiaolin, XIANG Shuangquan, QIAN Yu, LIAN Shengqiang, YANG Guorui, LAN Xiaoqin, TAN Wenyuan
Analysis on the difference of volatile flavor components in strong-flavor Baijiu base liquor with different grades
Zhongguo niangzao
strong-flavor baijiu|base liquor|volatile flavor component|chemometrics|machine learning|difference analysis
title Analysis on the difference of volatile flavor components in strong-flavor Baijiu base liquor with different grades
title_full Analysis on the difference of volatile flavor components in strong-flavor Baijiu base liquor with different grades
title_fullStr Analysis on the difference of volatile flavor components in strong-flavor Baijiu base liquor with different grades
title_full_unstemmed Analysis on the difference of volatile flavor components in strong-flavor Baijiu base liquor with different grades
title_short Analysis on the difference of volatile flavor components in strong-flavor Baijiu base liquor with different grades
title_sort analysis on the difference of volatile flavor components in strong flavor baijiu base liquor with different grades
topic strong-flavor baijiu|base liquor|volatile flavor component|chemometrics|machine learning|difference analysis
url https://manu61.magtech.com.cn/zgnz/fileup/0254-5071/PDF/0254-5071-2025-44-6-258.pdf
work_keys_str_mv AT yuexiaolinxiangshuangquanqianyulianshengqiangyangguoruilanxiaoqintanwenyuan analysisonthedifferenceofvolatileflavorcomponentsinstrongflavorbaijiubaseliquorwithdifferentgrades