应用化学计量学和顶空-气相色谱质谱联用技术对7种植物油进行类别分析  

Category analysis for seven kinds of vegetable oils by chemometrics and headspace-gas chromatography mass spectrometry

作　　者：蒋万枫 杨钊 张凤艳 桑迎迎 田玲 高嵩 

机构地区：[1]青岛市食品药品检验研究院,青岛266071

出　　处：《分析试验室》2017年第6期732-737,共6页Chinese Journal of Analysis Laboratory

摘　　要：采用静态顶空-气相色谱质谱联用技术对7种食用植物油(菜籽油、大豆油、花生油、棉籽油、玉米油、芝麻油、棕榈油)中易挥发成分进行了采集,应用化学计量学分析方法对各油种间易挥发成分的差异进行了评价。通过主成份分析、偏最小二乘判别分析等方法,建立了分类预测模型,分类模型训练和模型验证准确率均为100%,鉴定出了每种植物油的主要标志化合物,为建立植物油类别分析提供了强有力的手段。实验证明,根据植物油挥发性物质对不同种类的植物油进行分类和判别是可行的。This experiment collected the volatile components in seven kinds of edible vegetable oils, including colza oil, soybean oil, peanut oil, cottonseed oil, Maize oil, sesame oil, and palm oil by static headspace-gas chromatography mass spectrometry （GC-MS） technology, and then the variation of the volatile components among different oil was evaluatedby using chemometrics analysis method. The classification prediction model was established by principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA）, and the accuracy of classification model training and model validation were 100%. The main marker of each vegetable oil compound was identified, which provided powerful means for vegetable oil category analysis. Experiments proved that classification and discrimination of different kinds of vegetable oil based on vegetable oil volatile substances was feasible, and thus improved the quality of vegetable oil, providing the scientific basis for vegetable oil adulteration.

关 键 词：植物油 顶空-气相色谱质谱联用 化学计量学 主成份分析 偏最小二乘判别分析 

分 类 号：TS207.3[轻工技术与工程—食品科学]