茶油挥发性成分指纹图谱的构建及掺伪定量检测方法研究

Detection method research on adulteration of Camellia seed oil based on fingerprint of volatile components

为探析茶油的挥发性成分指纹图谱,以20种不同产地、制备方法的茶油为原料,利用顶空固相微萃取(SPME)和气相色谱仪分析其挥发性成分。结果表明:(1)茶油挥发性成分的指纹图谱由壬醛、2-反己烯醛等17个共有色谱峰构成,且经聚类分析和相似度分析得出茶油的产地、储存时间,尤其是制备工艺对其影响较大;(2)选取一种茶油为研究对象,建立了菜籽油-茶油的掺伪模型:Y=-4 572.5X^3+5 637.4X^2-2 206.3X+364.05(Y为菜籽油掺假比例%,X为夹角余弦cosθ),适用于菜籽油掺伪量25%以上的茶油。

To build a fingerprint based on volatile component for Camellia seed oil adulteration detection in this paper, 20 kinds of different Camellia seed oil were used as material to analysis volatile components by headspace solid phase microextraction （SPME） and GC. The results showed that the Camellia seed oil fingerprint of volatile component was consists of 17 common chromatographic peaks including nonanal and trans-2-hexenal etc., which is strongly effected by the producing area, storage time, especially the preparation technology according to the similarity and cluster analysis; Choosing one kind of camellia oils as the study object, we built the adulteration model for rapeseed oil, Camellia seed oil which is that： Y=-4 572.5X3＋5 637.4X2-2 206.3X＋364.05 （Y for rapeseed oil adulteration ratio %, Xfor the included Angle cosine cosine theta）, and this can be applied to the identifcation of morn than 25% of the amount of adulteration camellia oil.