期刊论文

Research on Qualitative and Quantitative Analysis of the Adulteration Detection of Camellia Oils Based on Regression Equation

中文

中国粮油学报

1003-0174

2019

34

7

125-131

10.3969/j.issn.1003-0174.2019.07.022

本校为第一机构

将气质联用技术与相关性分析、显著性分析、线性回归方程等方法紧密结合,通过对建立的纯茶籽油中掺入单一油脂(菜籽油、大豆油、花生油)的掺伪模型的研究,建立了茶籽油掺伪单一油脂的一元回归方程组。结果显示:在茶籽油掺伪检测中,只需将相应脂肪酸含量检出后代入所得方程,便可直观的显示出茶籽油掺伪类型及含量,是一种较为简洁、直观的分析方法,该研究运用数学的方法为茶籽油掺伪检测提供了新的思路,希望通过"科技兴检"为规范茶籽油市场、监控茶籽油品质、保护消费者利益提供技术支持。

In this study, the gas chromatography-mass spectrometry technology was closely combined with correlation analysis, significance analysis, linear regression equation, research on the camellia oil adulteration model which was established by using one kind of vegetable oil(rapeseed oil, soybean oil and peanut oil) with different proportions in pure camellia oil, from which the the one-way regression equation of tea seed oil adulterated with pseudo-single oil was established. The results showed that only the corresponding fatty acid content has bee...