黄 河,陈 昊,武亚帅,洪嘉欣,陈乙源,王 硕,孙 越,赵东瑞.北派浓香型白酒年份标记物的非靶向鉴定[J].食品安全质量检测学报,2023,14(20):171-182
北派浓香型白酒年份标记物的非靶向鉴定
Non-targeted identification of age markers of north category strong flavor Baijiu
投稿时间:2023-08-11  修订日期:2023-10-18
DOI:
中文关键词:  北派浓香型白酒  吸附笔  感官定量描述分析  香气活性值  滋味活性值  化学计量学  年份差异标记物  相关性分析
英文关键词:north category strong flavor Baijiu  sorbent pen  quantitative descriptive sensory analysis  odor activity value  taste activity value  chemometrics  age difference markers  correlation analysis
基金项目:国家自然科学基金青年科学基金项目(32001826)、国家重点研发计划项目(2022YFD2101205)
作者单位
黄 河 北京工商大学老年营养与健康教育部重点实验室;北京工商大学中国轻工业酿酒分子工程重点实验室 
陈 昊 北京工商大学老年营养与健康教育部重点实验室;北京工商大学中国轻工业酿酒分子工程重点实验室 
武亚帅 北京工商大学老年营养与健康教育部重点实验室;北京工商大学中国轻工业酿酒分子工程重点实验室 
洪嘉欣 北京工商大学老年营养与健康教育部重点实验室;北京工商大学中国轻工业酿酒分子工程重点实验室 
陈乙源 北京工商大学老年营养与健康教育部重点实验室;北京工商大学中国轻工业酿酒分子工程重点实验室 
王 硕 北京工商大学老年营养与健康教育部重点实验室;北京工商大学中国轻工业酿酒分子工程重点实验室 
孙 越 北京工商大学老年营养与健康教育部重点实验室;北京工商大学中国轻工业酿酒分子工程重点实验室 
赵东瑞 北京工商大学老年营养与健康教育部重点实验室;北京工商大学中国轻工业酿酒分子工程重点实验室 
AuthorInstitution
HUANG He Key Laboratory of Elderly Nutrition and Health, Ministry of Education, Beijing Technology and Business University;Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University 
CHEN Hao Key Laboratory of Elderly Nutrition and Health, Ministry of Education, Beijing Technology and Business University;Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University 
WU Ya-Shuai Key Laboratory of Elderly Nutrition and Health, Ministry of Education, Beijing Technology and Business University;Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University 
HONG Jia-Xin Key Laboratory of Elderly Nutrition and Health, Ministry of Education, Beijing Technology and Business University;Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University 
CHEN Yi-Yuan Key Laboratory of Elderly Nutrition and Health, Ministry of Education, Beijing Technology and Business University;Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University 
WANG Shuo Key Laboratory of Elderly Nutrition and Health, Ministry of Education, Beijing Technology and Business University;Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University 
SUN Yue Key Laboratory of Elderly Nutrition and Health, Ministry of Education, Beijing Technology and Business University;Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University 
ZHAO Dong-Rui Key Laboratory of Elderly Nutrition and Health, Ministry of Education, Beijing Technology and Business University;Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University 
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中文摘要:
      目的 筛定北派浓香型白酒年份差异标记物, 并表征差异标记物对北派浓香型白酒感官品质的贡献。方法 采用吸附笔-气相色谱-质谱法结合气味活度值、滋味活性值鉴定不同年份北派浓香型白酒的微量成分数据集及品质因子, 应用定量描述性感官分析结合偏最小二乘判别分析、斯皮尔曼相关分析和随机森林化学计量学方法非靶向筛选关键年份差异标记物, 并通过Pearson相关性分析方法探究标记物对北派浓香型白酒感官属性的贡献。结果 共鉴定出94种微量成分, 其中48种香气品质因子、8种滋味品质因子, 筛选出6种关键年份标记物, 各标记物对北派浓香型白酒感官品质贡献具有明显差异。结论 运用化学计量学方法可从仪器数据中提取有效信息, 构建微量成分与酒体感官品质的关联, 有效筛选影响北派浓香型白酒感官品质差异的年份标记物。
英文摘要:
      Objective To screen the age difference markers of north category strong flavor Baijiu, and analyze the contribution of age markers to the sensory quality of north category strong flavor Baijiu. Methods Sorbent pen combined with gas chromatography-mass spectrometry, odor activity value and taste activity value were used to identify the data sets of trace components and quality factors of north category strong flavor Baijiu in different ages. Quantitative descriptive sensory analysis combined with partial least squares discriminant analysis, spearman correlation analysis, and random forest chemometrics were used to non-target screening of key age markers, and Pearson correlation analysis was applied to explore the contribution of key age markers to the sensory quality of north category strong flavor Baijiu. Results A total of 94 trace components were identified, including 48 kinds of aroma quality factors, 8 kinds of taste quality factors, and 6 kinds of key age markers were selected. The contribution of each marker to the sensory quality of north category strong flavor Baijiu was significantly different. Conclusion Chemometrics can extract effective information from instrument data, establish the correlation between trace components and sensory quality of Baijiu, and effectively screen the age markers that affect the sensory quality difference of north category strong flavor Baijiu.
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