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

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。...

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Bibliographic Details
Main Author:	孙婷婷1,2，陈志清1,2，刘剑波3，任佳丽1,2，钟海雁1,2，周波1,2 SUN Tingting1,2, CHEN Zhiqing1,2, LIU Jianbo3, REN Jiali1,2, ZHONG Haiyan1,2, ZHOU Bo1,2
Format:	Article
Language:	English
Published:	中粮工科（西安）国际工程有限公司 2023-03-01
Series:	Zhongguo youzhi
Subjects:	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 flavor oil-tea camellia seed oil; leaching oil-tea camellia seed oil; volatile component; principal component analysis model; logistic regression model; qualitative identification
Online Access:	http://tg.chinaoils.cn/ch/reader/create_pdf.aspx?file_no=20230311&year_id=2023&quarter_id=3&falg=1

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http://tg.chinaoils.cn/ch/reader/create_pdf.aspx?file_no=20230311&year_id=2023&quarter_id=3&falg=1

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