基于挥发性成分定性判别风味油茶籽油掺伪浸出油茶籽油PCA模型和逻辑回归模型的对比分析  

Comparative analysis between PCA model and logistic regression model for qualitative identification of flavor oil-tea camellia seed oil adulteration with leaching oil--tea camellia seed oil based on volatile components

作　　者：孙婷婷 陈志清 刘剑波 任佳丽 钟海雁[1,2] 周波 SUN Tingting;CHEN Zhiqing;LIU Jianbo;REN Jiali;ZHONG Haiyan;ZHOU Bo(Hunan Key Laboratory of Forestry Edible Sources Safety and Processing,Changsha 410004,China;School of Food Science and Engineering,Central South University of Forestry and Technology,Changsha 410004,China;Food and Drug Inspection Institute of Yueyang City Inspection and Testing Center,Yueyang 414000,Hunan,China)

机构地区：[1]林产可食资源安全与加工利用湖南省重点实验室,长沙410004 [2]中南林业科技大学食品科学与工程学院,长沙410004 [3]岳阳市检验检测中心食品药品检验所,湖南岳阳414000

出　　处：《中国油脂》2023年第3期56-63,共8页China Oils and Fats

基　　金：湖南省林业科技创新基金项目(XLK202101-02);湖南省市场监督管理局科技计划项目(2020KJJH55);中央引导地方科技发展专项资金区域创新体系建设专项(2020ZYQ036)。

摘　　要：为了解决风味(原香和烤香)油茶籽油掺伪浸出油茶籽油的定性判别问题,设计高、低两个掺伪梯度,基于挥发性成分构建并对比分析了定性判别风味油茶籽油掺伪浸出油茶籽油的主成分分析(PCA)模型和逻辑回归模型。结果表明:逻辑回归模型定性判别风味油茶籽油掺伪浸出油茶籽油的能力较强,优于PCA模型;高掺伪梯度下定性判别原香和烤香油茶籽油掺伪浸出油茶籽油,PCA模型的最低检出限分别为20%和60%,而逻辑回归模型的最低检出限均为10%;低掺伪梯度下定性判别原香和烤香油茶籽油掺伪浸出油茶籽油,PCA模型的判别不准确,而逻辑回归模型的最低检出限均为4%。逻辑回归模型能很好地定性判别风味油茶籽油掺伪浸出油茶籽油。Based on volatile components,principal component analysis(PCA)and logistic regression(LR)models were constructed and compared to solve the problem of qualitative identification of flavor(original/roasted)oil-tea camellia seed oil adulterated with leaching oil-tea camellia seed oil under high and low adulteration gradients.The results showed that LR model had a good ability to qualitatively identify the flavor oil-tea camellia seed oil adulterated with leaching oil-tea camellia seed oil,which was better than that of PCA model.Under the high adulteration gradient,the detection limit of the PCA model for original/roasted oil-tea camellia seed oil adulterated with leaching oil-tea camellia seed oil was 20%/60%,and the detection limit of the LS model was 10%/10%,respectively.Under the low adulteration gradient,the detection limit of LR model for original/roasted oil-tea camellia seed oil adulteratedwith leaching oil-tea camelliaseedoil was 4%/4%,but the discriminative ability of the PCA model was not accurate.The LR model can qualitatively identify flavor oil-tea camellia seed oil adulterated with leaching oil-tea camellia seed oil.

关 键 词：风味油茶籽油 浸出油茶籽油 挥发性成分 主成分分析模型 逻辑回归模型 定性判别 

分 类 号：TS227[轻工技术与工程—粮食、油脂及植物蛋白工程] TQ646.4[轻工技术与工程—食品科学与工程]