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茶叶科学 ›› 2014, Vol. 34 ›› Issue (3): 261-270.doi: 10.13305/j.cnki.jts.2014.03.008

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保留指数在茶叶挥发物鉴定中的应用及保留指数库的建立

林杰1,2, 陈莹3, 施元旭1, 王校常1,*   

  1. 1. 浙江大学茶学系,浙江 杭州 310058;
    2. 浙江农林大学农业与食品科学学院,浙江省农产品品质改良技术研究重点实验室,浙江 杭州 311300;
    3. 杭州市质量技术监督检测院,浙江 杭州 310019
  • 收稿日期:2013-06-18 修回日期:2013-09-02 出版日期:2014-06-15 发布日期:2019-09-03
  • 通讯作者: *xcwang@zju.edu.cn
  • 作者简介:林杰(1985— ),男,浙江温州人,助教,博士,主要从事茶叶品质化学研究。

Application of Retention Index on Volatile Compound Identification of Tea and Development of Retention Index Database

LIN Jie1,2, CHEN Ying3, SHI Yuanxu1, WANG Xiaochang1,*   

  1. 1. Institute of Tea Science, Zhejiang University, Hangzhou 310058, China;
    2. The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China;
    3. Hangzhou Institute of Calibration and Testing for Quality and Technical Supervision, Hangzhou 310019, China
  • Received:2013-06-18 Revised:2013-09-02 Online:2014-06-15 Published:2019-09-03

摘要: 采用气相色谱/质谱联用(GC-MS)技术,分别应用正构烷烃(n-alkanes)混标和分析物中的正构烷烃对茶叶保留指数(RI)进行了测定,得到的保留时间相对碳数的线性相关系数(R2)均超过了0.99,证实了两种保留指数测定方法的可靠性。在谱库检索的基础上结合保留指数法,龙井茶香气成分的鉴定率从46.67%提高到74.67%,大多数物质可得到完全鉴定。同时,保留指数能对质谱匹配过程中存在的同分异构体进行有效的鉴定,提高物质定性的准确性,使物质鉴定效率大大提高。归纳相关文献数据,构建了HP-innowax色谱柱的保留指数库,提高了利用HP-innowax色谱柱进行挥发物分析的效率。

关键词: 保留指数, 茶叶, 挥发物, HS-SPME, 保留指数库

Abstract: Standard mixture of n-alkanes and n-alkanes in samples were applied respectively to determine the retention index (RI) of tea volatiles. The linear correlation coefficients of retention time with carbon number for the two methods were both above 0.99, indicating quite good reliability for calculating RI. With the applying of RI, the correct identification rate of the volatiles increased from 46.67% to 74.67%. Meanwhile, RI enabled effective identification of the isomers contained in tea volatiles, and greatly increased the identification accuracy. Data in relevant literatures were summarized to construct a RI database for HP-innowax column. The RI database could also improve the efficiency of compound identification using HP-innowax column.

Key words: retention index, tea, volatiles, HS-SPME, retention index database

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