食品科学 ›› 2018, Vol. 39 ›› Issue (16): 233-239.doi: 10.7506/spkx1002-6630-201816034

• 成分分析 • 上一篇    下一篇

基于电子鼻及气相色谱-质谱联用技术对川西高原4 种蜂蜜挥发性成分分析

陈廷廷,胡?琼,唐?洁*,王秀梅,刘?波,陈?林   

  1. (西华大学食品与生物工程学院,四川?成都 610039)
  • 出版日期:2018-08-25 发布日期:2018-08-17
  • 基金资助:
    四川省科技厅应用基础项目(2015JY0164);国家级大学生创新创业训练计划项目(201610623033); 省级大学生创新创业训练计划项目(201710623085)

Analysis of Volatile Components of Four Kinds of Honey in Western Sichuan Plateau Based on Electronic Nose and Gas Chromatography-Mass Spectrometry

CHEN Tingting, HU Qiong, TANG Jie*, WANG Xiumei, LIU Bo, CHEN Lin   

  1. (College of Food and Bioengineering, Xihua University, Chengdu 610039, China)
  • Online:2018-08-25 Published:2018-08-17

摘要: 为分析川西高原不同蜜源蜂蜜挥发性物质种类及成分的差异,采用电子鼻、顶空固相微萃取(headspace solid-phase microextraction,HS-SPME)与气相色谱-质谱联用(gas chromatography-mass spectrometry,GC-MS)技术对川西高原油菜蜂蜜、当归药花蜜、白刺花蜜和山花蜜4?种蜂蜜挥发性成分的响应值进行主成分分析、线性判别分析以及成分定性定量分析。结果表明:电子鼻检测到油菜蜂蜜、当归药花蜜、白刺花蜜、山花蜜的挥发性成分差异明显;HS-SPME-GC-MS分别检测出40、51、39?种和46?种挥发性成分,主要为醇类、酯类、酮类、醛类、烃类等化合物。4?种蜂蜜中共有挥发性成分有7?种,特有挥发性成分分别有22、27、26?种和19?种。电子鼻联合GC-MS分析可以成功区分不同来源蜂蜜样品的挥发性成分。

关键词: 蜂蜜, 电子鼻, 气相色谱-质谱联用(GC-MS), 挥发性成分

Abstract: In order to analyze the differences in the composition of volatile substances of honeys from different floral sources in the Western Sichuan Plateau, the volatile compounds of rape, Angelica sinensis, Sophora davidii and multifloral honeys were determined using an electronic nose (E-nose) and headspace solid-phase micro extraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS) and the E-nose sensor response data were analyzed by principal component analysis (PCA) and linear discriminant analysis (LDA). The results showed that the E-nose was sensitive to detect the differences in volatile components of four honey samples. A total of 40, 51, 39 and 46 volatile substances were detected by HS-SPME-GC-MS in these samples, respectively, mainly including alcohols, esters, ketones, aldehydes and hydrocarbons. In addition, 7 volatile components were found common to all the tested samples, exclusively containing 22, 27, 26 and 19 compounds, respectively. In conclusion, E-nose combined with GC-MS analysis can successfully distinguish among the volatile components of honey from different sources.

Key words: honey, electronic nose, gas chromatography-mass spectrometry (GC-MS), volatile?components

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