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食品研究与开发:2026,47(6):153-163
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基于GC-MS/GC-O联用多变量解析方法解析茯茶共性香气组分
陈娴1,马凤燕2,胡执辉1,田洪磊1,詹萍1,王鹏1 *,王立霞3
(1.陕西师范大学 食品工程与营养科学学院,陕西 西安 710119;2. 咸阳市科技资源统筹中心,陕西 咸阳 712000;3.陕西学前师范学院 生物食品与化学学院,陕西 西安 710061)
Shared Aroma Profile of Fu Brick Tea Using GC-MS/GC-O and Multivariate Statistical Techniques
CHEN Xian1,MA Fengyan2,HU Zhihui1,TIAN Honglei1,ZHAN Ping1,WANG Peng1 *,WANG Lixia3
(1.College of Food Engineering & Nutritional Science,Shaanxi Normal University,Xi'an 710119,Shaanxi,China;2. Xianyang Science and Technology Resources Coordination Center,Xianyang 712000,Shaanxi,China;3. College of Biology,Food and Chemistry,Shaanxi Xueqian Normal University,Xi'an 710061,Shaanxi,China)
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投稿时间:2025-06-23    
中文摘要: 为筛选我国不同产地茯茶浸泡后茶汤特征香气物质、明确香气特征差异关键物质,采用顶空固相微萃取(headspace solid phase microextraction,HS-SPME)技术联合气相色谱-质谱联用(gas chromatography-mass spectrometry,GC-MS)技术解析陕西、湖南、浙江主产区的6 种茯茶茶汤、5 种市售茯茶饮料及5 种其他茶类饮料的挥发性组分;利用气相色谱-嗅闻(gas chromatography-olfactometry,GC-O)技术解析6 种茯茶茶汤的香气物质;结合定量感官评价,获得茯茶茶汤关键香气属性强度差异值;利用聚类分析(cluster analysis,CA)、精密度和重现性分析,解析茯茶茶汤共有挥发性组分;采用主成分分析(principal component analysis,PCA)和偏最小二乘-判别分析(partial least squares discriminant analysis,PLS-DA)等多变量解析方法,明确市售茯茶饮料和茯茶茶汤呈香属性量化差异物质。结果表明:通过聚类分析筛选出的5 种茯茶茶汤样本共鉴定出56 种挥发性成分,包括17 种醛类、19 种醇类、9 种酮类、2 种酯类和9 种碳氢类。GC-O 结果表明,5 种茯茶茶汤样本共检测出23 种香气物质,确定19 种共有挥发性成分,包括8 种醛类(47.82%)、1 种醇类(12.94%)、7 种酮类(28.03%)、2 种酯类(9.45%)和1 种碳氢类(1.76%)。其中泾阳茯茶茶汤样本菌花香属性强度最高(4.2),金花散茯茶汤样本花香属性最为明显(3.8),金花茯茶茶汤样本陈香属性最为突出(3.4)。多变量解析方法(PCA 和PLS-DA)表明特征香气共性香气组分能将茯茶茶汤、茯茶饮料和其他茶类饮料明显区分。PLS-DA 结果表明芳樟醇(花香)、(E,E)-2,4-庚二烯醛(青草气)、β-环柠檬醛(果香)、β-紫罗兰酮(花香)、己醛(青草气)等是引起茯茶饮料与茯茶茶汤整体呈香品质差异的重要物质。
Abstract:To screen the characteristic aroma compounds of Fu brick tea infusions from different regions of China and identify the key substances responsible for aroma differences,headspace solid-phase microextraction(HS-SPME) combined with gas chromatography-mass spectrometry (GC-MS) was employed to analyze the volatile compounds of six Fu brick tea infusions from major production areas(Shaanxi,Hunan,and Zhejiang),five commercially available Fu brick tea beverages,and five other types of tea beverages. Gas chromatography-olfactometry (GC-O) was applied to characterize the aroma compounds in the six Fu brick tea infusions. Combined with quantitative sensory evaluation,the intensity differences of key aroma attributes in the tea infusions were obtained. Cluster analysis (CA),precision,and reproducibility tests were used to identify the common volatile components of Fu brick tea infusions. Multivariate statistical methods,including principal component analysis(PCA) and partial least squares-discriminant analysis(PLS-DA),were applied to clarify the quantitative differences in aroma attributes between commercial Fu brick tea beverages and Fu brick tea infusions. The results showed that a total of 56 volatile compounds were identified in the five Fu brick tea infusions through cluster analysis,including 17 aldehydes,19 alcohols,9 ketones,2 esters,9 hydrocarbons.Based on GC-O results,23 aroma compounds were detected. 19 common volatile components were ultimately identified,including 8 aldehydes (47.82%),1 alcohol (12.94%),7 ketones (28.03%),2 esters (9.45%),and 1 hydrocarbon (1.76%). Among them,Jingyang Fu brick tea infusion received the highest intensity rating for fungal-floral aroma(4.2 points);Jinhua Sanfu tea exhibited the most pronounced floral aroma (3.8 points),and Jinhua Fu brick tea showed the strongest aged aroma (3.4 points). Multivariate analysis (PCA and PLSDA) demonstrated that the common aroma compounds could effectively distinguish Fu brick teas,Fu brick tea beverages,and other tea beverages. PLS-DA results indicated that linalool(floral),(E,E)-2,4-heptadienal(green),β-cyclocitral (fruity),β-ionone (floral),and hexanal (green) were important compounds contributing to the overall aroma quality differences between Fu brick tea beverages and Fu brick tea infusions.
文章编号:202606019     中图分类号:    文献标志码:
基金项目:西安市科技计划项目(2021JH-05-0051、23NYGG0061);陕西省教育厅重点科学研究计划项目(24JR049);陕西省科协青年人才托举计划项目(20230212);咸阳市重点研发计划(L2023-ZDYF-QYCX-017);陕西省科技计划项目(2024NC-YBXM-136);陕西学前师范学院科研创新团队建设计划(XJKYCXTD02)
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