期刊论文

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

中文

中南林业科技大学学报

1673-923X

2017

37

9

118-123

10.14067/j.cnki.1673-923x.2017.09.020

基金项目：湖南省科技计划农林领域重点开发项目（2016NK2145）：湖南省林业厅项目（XLB201618）

本校为第一机构

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 ki...