GC-MS结合聚类分析和PCA分析用于新疆小白杏杏仁油质量控制研究

Quality control of xiao-bai apricot almond oil by GC-MS combined with clustering analysis and principal component analysis

摘要: 采用GC-MS对新疆不同产区的15个小白杏杏仁油样品脂肪酸进行分析鉴定,以系统聚类和相似度法优选了13个样品,构建了新疆小白杏杏仁油脂肪酸指纹图谱,共定性12个组分,占总量的85.7%。依据所建立的指纹图谱信息,采用PCA分析法对其他13种不同油脂进行对照研究,显示各油脂样品与小白杏杏仁油均存在明显差异。表明该色谱指纹图谱可用于新疆小白杏杏仁油的鉴定与质量控制。

Abstract: Fatty acids of fifteen batches of xiao-bai apricot almond oil were analyzed by GC-MS, and 13 samples were selected to establish the fingerprints of fatty acids of xiao -bai apricot almond oil according to the clustering analysis and similarity analysis. Thirteen components in xiao-bai apricot almond oil , accounting for 85.7% , were identified and quantified.The result of PCA analysis showed largest difference between xiao-bai apricot almond oil samples and other thirteen different kinds of oil. The developed fingerprint can be used for identifition and quality control of xiao-bai apricot almond oil.