期刊论文

Establishment of oil - tea camellia seed oil adulteration model based on characteristic fatty acids and different equivalent carbon of triglycerides

中文

中国油脂

1003-7969

2018

43

11

73-79,88

10.3969/j.issn.1003-7969.2018.11.016

湖南省科技计划农村领域重点研发项目（2016NK2145） 湖南省食品药品监督管理局食品药品安全科技项目（湘食药科R201817） 湖南省林业厅项目（XLB201618）

本校为第一机构

基于特征脂肪酸,棕榈酸/硬脂酸、油酸/硬脂酸、亚油酸/油酸以及不同等价碳数甘油三酯的含量等14个指标,运用主成分分析和Fisher判别分析方法,建立油茶籽油掺伪棕榈油、葵花籽油、米糠油、大豆油、花生油和棉籽油的掺伪鉴别模型。结果表明:所建模型都能完全准确识别掺伪20%及以上的掺伪油脂的掺伪量和种类,判别准确率为96. 22%。研究表明基于植物油在特征脂肪酸和不同等价碳数甘油三酯的含量的差异,运用PCA建立的掺伪鉴别模型具有一定的可行性。

Based on characteristic fatty acid, equivalent carbon number of triglycerides （ECN） and ratios of palmitic acid to stearic acid, oleic acid to stearic acid and linoleic acid to oleic acid, the model of oil -tea camellia seed oil adulterated with palm oil, sunflower seed oil, rice bran oil, soybean oil, pea- nut oil and cottonseed oil was established by principal component analysis （PCA） and Fisher distinguish analysis method, respectively. The results showed that more than 20% of adulteration amount and kind of adulteration oil could be dis...