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中国精品科技期刊2020
杨涛华,张晴雯,龚霄,等. 基于顶空气相-离子迁移色谱的不同品种番荔枝挥发性成分比较[J]. 食品工业科技,2021,42(16):249−254. doi: 10.13386/j.issn1002-0306.2020090230.
引用本文: 杨涛华,张晴雯,龚霄,等. 基于顶空气相-离子迁移色谱的不同品种番荔枝挥发性成分比较[J]. 食品工业科技,2021,42(16):249−254. doi: 10.13386/j.issn1002-0306.2020090230.
YANG Taohua, ZHANG Qingwen, GONG Xiao, et al. Comparison of Volatile Components of Different Annona Varieties Based on Headspace Phase-Ion Mobility Chromatography [J]. Science and Technology of Food Industry, 2021, 42(16): 249−254. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020090230.
Citation: YANG Taohua, ZHANG Qingwen, GONG Xiao, et al. Comparison of Volatile Components of Different Annona Varieties Based on Headspace Phase-Ion Mobility Chromatography [J]. Science and Technology of Food Industry, 2021, 42(16): 249−254. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020090230.

基于顶空气相-离子迁移色谱的不同品种番荔枝挥发性成分比较

Comparison of Volatile Components of Different Annona Varieties Based on Headspace Phase-Ion Mobility Chromatography

  • 摘要: 采用气相-离子迁移谱(Gas chromatography-ion mobility spectrometry,GC-IMS)分析番鬼荔枝、大目番荔枝、红番荔枝、刺果番荔枝四种番荔枝果实挥发性成分的组成及含量,结合主成分分析(principal component analysis,PCA)进行统计分析。结果发现:番鬼荔枝、大目番荔枝及红番荔枝中含量较高的是柠檬烯、月桂烯、莰烯、γ-松油烯等萜烯类物质,刺果番荔枝中则以丙酸乙酯、辛酸乙酯、丁酸己酯、辛酸甲酯、己酸乙酯等酯类物质为主。四组样品在PCA图中离散性较好,前两个主成分累计方差贡献率91.986%,PCA能有效区分四个番荔枝样品。通过比较不同番荔枝香气成分,找出其特征香气组分,为番荔枝全品种的品种香气研究提供了数据支持。

     

    Abstract: Gas-ion mobility chromatography(GC-IMS) was used to analyze the composition and content of volatile components in four types of Annona squamosa(linqin), Annona squamosa(damu), Red Custard Apple and Soursop, combined with principal component analysis(PCA) carried out statistical analysis on aroma components, and found that the higher content of Annona apple, Annona apple and Red custard apple were terpenes such as limonene, myrcene, camphene, γ-terpinene, etc. Substances in soursop were mainly esters such as ethyl propionate, ethyl caprylate, hexyl butyrate, methyl caprylate, and ethyl caproate. The four groups of samples had good dispersion in the PCA chart, and the cumulative variance contribution rate of the first two principal components was 91.986%. PCA could effectively distinguish the four sugar apple samples. By comparing the aroma components of different sweet apples, their characteristic aroma components were obtained, it provided data support for the aroma research of the whole variety of sweet apples.

     

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