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Position: Home > Articles > Analysis of Volatile Compounds in Soybean Flowers by Static Headspace-GC-MS Soybean Science 2014,33 (4) 114-117

静态顶空萃取-气相色谱-质谱法分析大豆花中挥发性成分

作  者:
宋志峰;牛红红;何智勇;孟繁磊;魏春雁
单  位:
吉林省农业科学院农业质量标准与检测技术研究所/农业部农产品质量安全风险评估实验室
关键词:
静态顶空;气相色谱-质谱法;大豆花;挥发性成分
摘  要:
利用静态顶空萃取-气相色谱-质谱联用技术(GC-MS)建立了大豆花挥发性成分分离鉴定方法。大豆花样品中挥发性成分经静态顶空进样器提取,由气相色谱分离、质谱检测,NIST质谱数据库检索定性鉴定;面积归一化法定量测定。从5种大豆花中共分离鉴定出31种挥发性化合物,这些化合物主要为醇、酮、醛、烃、酯和呋喃类。其中对大豆花气味特征的主要贡献组分为醇和酮类化合物。不同品种大豆花中挥发性成分含量存在较大差异。
译  名:
Analysis of Volatile Compounds in Soybean Flowers by Static Headspace-GC-MS
作  者:
SONG Zhi-feng;NIU Hong-hong;HE Zhi-yong;MENG Fan-lei;WEI Chun-yan;Institute of Agricultural Quality Standards and Testing Technology Research,Jilin Academy of Agricultural Sciences/Risk Assessment Lab of Agri-products Quality and Safety(Changchun),Agriculture Ministry of P.R.C.;
关键词:
Static headspace;;GC-MS;;Soybean flowers;;Volatile compounds
摘  要:
In order to study components difference in flowers of 5 soybean cultivars,a method used to isolate and identify the volatile compounds from soybean flowers by static headspace extraction coupled to gas chromatography-mass spectrometry(GC-MS)was set up.The volatile components were extracted by static headspace,isolated by CC,qualitative identified by NIST spectrum library index combining with literature,and quantitative determined by area normalization method.Thrty-one volatile compounds were isolated and identified from 5 soybean cultivars and they belongto alcohol,ketone,aldehyde,hydrocarbon,ester,and furancompounds.The main volatile compounds of soybean flower were alcohol and ketone.The content difference of the volatile compounds in flowers of different soybean cultivars was remarkable.These results would provide important reference for the research attraction of natural enemy insects and resource development of pollination insect.

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