【摘要】 为探究临沧地区不同古茶树单株晒青茶的香气特征，以9株代表性古茶树为对象，综合运用感官审评、气相色谱-质谱(GC-MS)结合电子鼻(E-nose)技术检测分析各单株晒青茶的香气成分，共检出104种香气化合物，以醛类(22.0% ～ 29.2%)、醇类(16.7% ～ 24.1%)、酮类(13.5% ～ 20.8%)和酯类(8.3% ～ 17.3%)为主。其中临沧杨梅山古树单株茶样(2号)香气化合物总含量最高(858.22±47.8 μg/kg)，芳樟醇(117.33±1.71 μg/kg)、吲哚(85.42±3.77 μg/kg)及茉莉酮(27.43±2.56 μg/kg)为关键特征成分；临沧箐门口古树单株茶样(1号)香气种类最多(64种)。聚类分析结果表明，9个单株古树的晒青茶样可分为三类：花果香型(1号)、复合香型(2号)和清甜香型(3 ～ 9号)。电子鼻主成分分析(累计贡献率)有效区分茶样香气差异，其与硫化物、烃类和芳香物质密切相关。试验结果揭示了临沧地区古树茶的香气多样性，可为品质分级及资源开发利用提供参考依据。更多还原

【Abstract】 In order to explore the aroma characteristics of sun-dried green tea from different individual ancient trees in Lincang,nine representative individual ancient tea trees were selected as the subjects,the aroma components of each individual’s sun-dried green tea were detected and analyzed by comprehensively utilizing sensory evaluation,gas chromatography-mass spectrometry (GC-MS) combined with electronic nose (e-nose) technology.A total of 104 aroma compounds were detected,mainly consisting of aldehydes (22.0%～29.2%),alcohols (16.7% ～ 24.1%),ketones (13.5% ～ 20.8%) and esters (8.3% ～ 17.3%).Among them,the content of total aroma compounds in the tea sample (No.2) of individual ancient tea tree in Yangmeishan,Lincang was the highest (858.22±47.8 μg/kg),and linalool (117.33±1.71 μg/kg),indole (85.42±3.77 μg/kg) and Jasmine (27.43±2.56 μg/kg) were the key characteristic components;The tea sample (No.1) of individual ancient tea tree in Jingmenkou,Lincang had the most aroma types (64 kinds).Cluster analysis results showed that nine sun-dried green tea samples from individual ancient trees could be divided into three types:flower and fruit aroma type (No.1),compound aroma type (No.2) and sweet aroma type (No.3-No.9).Electronic nose principal component analysis (cumulative contribution rate) could effectively distinguish the differences of tea aroma,which was closely related to sulfides,hydrocarbons and aromatic compounds.The experimental results revealed the aroma diversity of ancient tree tea in Lincang area,which can provide reference for quality classification and resource development and utilization.更多还原