食品科学 ›› 2020, Vol. 41 ›› Issue (8): 243-249.doi: 10.7506/spkx1002-6630-20190516-186

• 成分分析 • 上一篇    下一篇

基于顶空气相色谱-离子迁移谱的不同产地咖啡挥发性有机物指纹图谱分析

弘子姗,谭超,苗玥,龚加顺   

  1. (云南农业大学食品科学技术学院,云南 昆明 650201)
  • 出版日期:2020-04-25 发布日期:2020-04-20
  • 基金资助:
    云南农业大学自然科学青年科研基金项目(2016ZR04); 云南省高校食品加工与安全控制重点实验室开放基金项目(YJK〔2014〕16 KF06); 云南特色咖啡加工关键技术研究与产品开发项目(KX141733)

Fingerprint Analysis of Volatile Organic Compounds in Coffees from Different Geographical Origins by Headspace-Gas Chromatography-Ion Mobility Spectrometry

HONG Zishan, TAN Chao, MIAO Yue, GONG Jiashun   

  1. (College of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China)
  • Online:2020-04-25 Published:2020-04-20

摘要: 以8 个不同产地咖啡豆为原料,基于顶空气相色谱-离子迁移谱(headspace-gas chromatography-ion mobility spectroscopy,HS-GC-IMS)利用匹配矩阵和聚类分析,以数据可视化形式研究烘焙前后咖啡豆中挥发性有机物(volatile organic compounds,VOCs)指纹图谱差异性及变化。结果表明:生咖啡豆粉之间、烘焙咖啡豆粉之间及生、熟咖啡豆粉之间VOCs具有差异性。指纹图谱、3D-主成分分析及匹配矩阵分析表明,当HS-GC-IMS的指纹特征匹配度不小于90%,可通过指纹图谱中细微特征成分的不同精确区分生、熟咖啡豆粉品种及地理来源差异。HS-GC-IMS技术可根据挥发性物质的差异为判断指标,较好地区分不同品种及地理来源咖啡豆,对咖啡豆品种、产地鉴别提供一定理论依据和数据支持。

关键词: 顶空气相色谱-离子迁移谱, 咖啡, 风味, 挥发性有机物, 指纹图谱

Abstract: In this study, the volatile organic compounds (VOCs) in coffee beans from 8 different geographical origins in the world were fingerprinted by headspace-gas chromatography-ion mobility spectroscopy (HS-GC-IMS). We compared the differences in the VOC fingerprints of these coffee samples using matching matrix and clustering analysis, and we investigated the changes in the VOC fingerprints before and after roasting in the form of data visualization. The results showed that for both raw and roasted coffee powders there were differences in VOCs among geographical origins and there were differences in VOCs between raw and roasted coffee powders from the same geographical origins. According to the fingerprint analysis, three-dimensional principal component analysis (3D-PCA) and matching matrix analysis, when the matching degree was 90%, the differences in the subtle characteristic components in the fingerprints could accurately distinguish raw from cooked coffee powders and discriminate the geographical origins. In conclusion, HS-GC-IMS provides a useful tool for identifying the varietal and geographical origin of coffee beans.

Key words: headspace-gas chromatography-ion mobility spectroscopy, coffee, flavor, volatile organic compounds, fingerprint

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