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当前位置: 首页 > 文章 > 基于柱前衍生化GC-MS的炒青绿茶加工过程中初级代谢物变化规律研究 茶叶科学 2019 (3)
Position: Home > Articles > 基于柱前衍生化GC-MS的炒青绿茶加工过程中初级代谢物变化规律研究 Journal of Tea Science 2019 (3)

基于柱前衍生化GC-MS的炒青绿茶加工过程中初级代谢物变化规律研究

作  者：
陈美;戴伟东;李朋亮;朱荫;陈勤操;杨艳芹;谭俊峰;林智
关键词：
炒青绿茶;衍生化;气质联用(GC-MS);初级代谢产物
摘  要：
茶叶中的一些初级代谢产物前人研究较少,为了探明在炒青绿茶加工过程中这些初级代谢产物的变化规律,本研究以龙井43品种为原料制作了炒青绿茶,并采用了基于柱前衍生化的气相色谱-质谱联用法(GC-MS)对其进行测定.结果共鉴定出60种化合物,其中相对含量较高的为有机酸类、糖类、糖类衍生物.偏最小二乘法判别分析模型可成功区分炒青绿茶各个加工工序,并筛选出了关键差异化合物26种,聚类分析结果表明,这26种化合物在加工过程中的含量变化规律可分为以下3类:高→低:2-酮戊二酸、阿拉伯糖、没食子酸、吡喃葡萄糖醛酸、甘油葡萄糖苷、核糖、半乳糖、果糖、葡萄糖、磷酸、4-酮葡萄糖、核糖酸-1,4-内酯、甘露醇;高→低→高:尿黑酸、蔗糖、肌醇半乳糖苷、苏糖酸、松二糖、核糖酸、肌醇和柠檬酸;低→高→低:赤藓糖-1,4-内酯、磷酸氧丙基酯、焦谷氨酸、奎尼酸、己二酸.有机酸主要呈现先上升后下降趋势,糖类除蔗糖外主要呈现下降趋势.
作  者：
CHEN Mei;DAI Weidong;LI Pengliang;ZHU Yin;CHEN Qincao;YANG Yanqin;TAN Junfeng;LIN Zhi;Key Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, Tea Research Institute, Chinese Academy of Agricultural Sciences;Graduate School of Chinese Academy of Agricultural Sciences;
单  位：
CHEN Mei%DAI Weidong%LI Pengliang%ZHU Yin%CHEN Qincao%YANG Yanqin%TAN Junfeng%LIN Zhi%Key Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, Tea Research Institute, Chinese Academy of Agricultural Sciences%Graduate School of Chinese Academy of Agricultural Sciences
关键词：
roasted green tea;;derivatization;;gas chromatography-mass spectrometry(GC-MS);;primary metabolites
摘  要：
Few if any previous studies were carried out in the field of primary metabolite changes during the manufacturing process of roasted green tea. Longjing 43 was used to make roasted green tea and gas chromatography-mass spectrometry(GC-MS) with derivatization was used to determine the components. A total of60 compounds were identified, which included high levels of organic acids, carbohydrates and carbohydrate derivatives. Each steps of the processing could be successfully distinguished by partial least-squares discriminant analysis based on 26 key compounds. The results of cluster analysis indicated that the content changes of the26 compounds could be classified into three categories: high-low: 2-ketoglutaric acid, arabinose, gallic acid,glucopyranosiduronic acid, glyceryl-glucoside, ribose, galactose, fructose, glucose, phosphoric acid, 4-ketoglucose,ribono-1,4-lactone, and mannitol. High-low-high: homogentisic acid, sucrose, galactinol, threonic acid, turanose,ribonic acid, inositol and citric acid. Low-high-low: erythrose-1,4-lactone, oxypropyl phosphate, pyroglutamic acid,quinic acid and hexanedioic acid. Organic acids mainly showed a rising and then downward trend. Carbohydrates except sucrose showed a downward trend.

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