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中国精品科技期刊2020
徐嘉成,卢文静,谌迪,等. 基于GC-MS和GC-IMS分析不同配方五香调味油的挥发性物质差异J. 食品工业科技,2026,47(7):1−12. doi: 10.13386/j.issn1002-0306.2025030296.
引用本文: 徐嘉成,卢文静,谌迪,等. 基于GC-MS和GC-IMS分析不同配方五香调味油的挥发性物质差异J. 食品工业科技,2026,47(7):1−12. doi: 10.13386/j.issn1002-0306.2025030296.
XU Jiacheng, LU Wenjing, CHEN Di, et al. Analysis of VOCs Differences Between Different Formulations of Five-spice Flavored Oils Based on GC-MS and GC-IMSJ. Science and Technology of Food Industry, 2026, 47(7): 1−12. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025030296.
Citation: XU Jiacheng, LU Wenjing, CHEN Di, et al. Analysis of VOCs Differences Between Different Formulations of Five-spice Flavored Oils Based on GC-MS and GC-IMSJ. Science and Technology of Food Industry, 2026, 47(7): 1−12. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025030296.

基于GC-MS和GC-IMS分析不同配方五香调味油的挥发性物质差异

Analysis of VOCs Differences Between Different Formulations of Five-spice Flavored Oils Based on GC-MS and GC-IMS

  • 摘要: 为探究不同配方五香调味油风味物质差异,本研究采用电子鼻、顶空固相微萃取-气相色谱-质谱联用以及气相-离子迁移谱相结合的方法分析6种不同配方五香调味油挥发性物质的差异。结果表明:在6种调味油样品中,电子鼻传感器对挥发性物质中的烷烃类,醇类,酮类,醛类物质响应较强,其中PF6的风味响应强度较大。顶空固相微萃取-气相色谱-质谱联用(Headspace solid phase microextraction-gas chromatography-mass spectrometry,HS-SPME-GC-MS)共检测出118种挥发性有机化合物(Volatile organic compounds,VOCs),主要包含烯烃类、酯类、酮类、醇类、烷烃类、醛类、酸类、酚类、醚类以及杂环化合物等,其中以茴香料为主的配方1有31种,配方3有33种,配方5有37种,配方6有46种;以桂皮料为主的配方2有47种;以山奈料为主的配方4有32种。通过相对气味活度值(Relative odor activity value,ROAV)判定6种配方调味油的关键风味物质,共筛选出14种对调味油香气有较大贡献的化合物,其中以大茴香醛、草蒿脑、桉叶油醇为主,分别表现为茴香香气和樟脑香气。气相离子迁移谱(Gas chromatography-ion mobility spectrometry,GC-IMS)共鉴定出45种挥发性物质,经主成分分析(Principal component analysis,PCA)和偏最小二乘回归分析(Partial least squares-discriminant analysis,PLS-DA)得出,配方间区分明显并且筛选出19种关键风味差异化合物,包括芳甲基苯甲醇、2-甲基-2-丙醇、乙酸己酯、氧化芳樟醇、1-辛醇、1-戊烯-3-酮等。本项研究有助于为复杂的风味体系研究提供基础,并为香辛料产品开发提供参考。

     

    Abstract: In order to explore the differences in volatile organic compounds (VOCs) among six different formulations of five-spice seasoning oils, electronic nose, headspace solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS), and gas chromatography-ion mobility spectrometry (GC-IMS) were used in this study. The electronic nose sensor had a strong response to alkanes, alcohols, ketones and aldehydes in VOCs, and PF6 had a strong flavor response. HS-SPME-GC-MS identified 118 VOCs in the six formulations, including olefins, esters, ketones, alcohols, alkanes, aldehydes, acids, phenols, ethers, and heterocyclic compounds. Anise-based PF1 had 31 VOCs, PF3 had 33, PF5 had 37, and PF6 had 46; Cinnamon-based PF2 had 47; Galangal-based PF4 had 32. Relative odor activity value (ROAV) analysis found 14 key VOCs, with anisaldehyde, artemisia ketone, and eucalyptol (responsible for anise and camphor-like aromas) being the major contributors. A total of 45 VOCs were identified by GC-IMS, through principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), 19 key VOCs differentiating the formulations were found, such as phenethyl alcohol, 2-methyl-2-propanol, ethyl hexanoate, oxylinalool, 1-octanol, and 1-penten-3-one. This study is helpful to provide a basis for the study of complex flavor system, and provide a reference for the development of spice products.

     

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