摘要
使用电子鼻系统PEN3对芝麻油中掺入大豆油、玉米油、葵花籽油进行检测分析,分别对芝麻油中不同量的掺假进行辨别,用主成分分析(PCA)和线性判别式分析(LDA)两种方法分析。结果表明:电子鼻能够较好的识别芝麻油掺假不同比例的大豆油、玉米油和葵花籽油,而且LDA方法比PCA方法的效果好。PCA方法对掺入大豆油、玉米油超过50%和葵花籽油超过70%的芝麻油能明显区分,而LDA方法对芝麻油中掺入不同量的大豆油、玉米油和葵花籽油均能明显区分。
In this study,the detection of adulteration in sesame oil was performed using a PEN3 electronic nose system. Sesame oils adulterated with different concentrations of cheaper seed oils such as soybean oil,corn oil and sunflower oil were distinguished. Principal component analysis （PCA） and linear discriminant analysis （LDA） were used. The results showed that the adulteration of sesame oil could be detected effectively and LDA was more competent than PCA. Sesame oils adulterated with soybean oil or corn oil at levels of adulteration exceeding 50% were distinguished easily by PCA and the distinguishable adulteration level for sunflower oil was beyond 70% （V/V）. However,LDA could easily distinguish different levels of adulteration with each of the three cheaper seed oils.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2010年第20期318-321,共4页
Food Science
基金
国家“863”计划项目(2007AA10Z213)
江苏省农业攻关项目(BE2007320)
南京农业大学青年科技创新基金项目(Y200827)
中农-南农青年教师开放基金项目(NC2008004)
关键词
电子鼻
芝麻油
掺假
检测
electronic nose
sesame oil
adulteration
detection
