山东科学 ›› 2021, Vol. 34 ›› Issue (6): 15-21.doi: 10.3976/j.issn.1002-4026.2021.06.003

• 中药与天然活性产物 • 上一篇    下一篇

番石榴叶中挥发油组分的固相微萃取分析

许亦真()   

  1. 齐鲁工业大学(山东省科学院) 山东省分析测试中心, 山东 济南 250014
  • 收稿日期:2021-02-02 出版日期:2021-12-20 发布日期:2021-12-08
  • 作者简介:许亦真(1991—),女,助理工程师,研究方向为天然产物高效分离提纯方法。E-mail: xjj911212@163.com

Analysis of volatile oil constitutes of guava leaves by solid phase microextraction

XU Yi-zhen()   

  1. Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Science), Jinan 250014, China
  • Received:2021-02-02 Online:2021-12-20 Published:2021-12-08

摘要:

建立了一种应用顶空固相微萃取-气相色谱质谱分析番石榴叶中挥发油组分的方法。对固相微萃取纤维种类、萃取温度、萃取时间和样品溶液的离子强度进行了单因素优化试验,并得出了最优试验条件为:碳分子筛羧乙基/二乙烯基苯/聚二甲基硅氧烷(CAR/DVB/PDMS)萃取纤维,萃取温度65 ℃,萃取时间40 min,离子强度20%。该方法共鉴定出了47种组分,其中酮类化合物8种,醛类14种,酯类5种,醇类6种,烯烃类4种,酸类2种,剩余酚类等其他化合物8种。通过面积归一化法分析,鉴定出化合物结构的组分相对含量占总挥发油组分含量的93.97%。该方法为番石榴叶药用价值的研究提供方法及数据支持。

关键词: 顶空固相微萃取, 番石榴叶, 挥发油, 面积归一化, 气相色谱质谱法

Abstract:

In this study, a method using headspace solid phase microextraction (HS-SPME) and gas chromatography-mass spectrometry (GC-MS) for the analysis of volatile oil in guava leaves was developed. Several factors, including types of SPME fiber, extraction temperature, extraction time, and ionic strength of the sample solution, were optimized using single-factor optimization strategy. The optimal conditions were as follows: CAR/DVB/PDMS extraction fiber, extraction temperature of 65 ℃, extraction time of 40 min, and ionic strength of 20%. A total of 47 chemical compounds were identified, including eight types of ketones, 14 types of aldehydes, five types of esters, six types of alcohols, four types of olefins,two types of acids, and others, such as phenols. The identified components account for 93.97% of the total chemical constitutes in guava leaves, calculated using the peak area normalization method. This method provides methods and data support for the study of the medicinal value of guava leaves.

Key words: headspace solid phase microextraction, guava leaves, volatile oil, peak area normalization method, gas chromatography tandem mass spectrometry

中图分类号: 

  • R284.1