Portable Detection and Quantification of Olive Oil Adulteration by 473-nm Laser-Induced Fluorescence

Taotao Mu, Siying Chen*, Yinchao Zhang, He Chen, Pan Guo, Fandong Meng

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

49 引用 (Scopus)

摘要

Extra virgin olive oil (EVOO) contains a higher ratio of antioxidants and monounsaturated fatty acids, and the price of EVOO is higher than that of other vegetable oils due to the complicated production process and storage condition. Adulteration of extra virgin olive oils with inferior vegetable oils has attracted increasing attentions. In this paper, we detect and quantify adulteration of extra virgin olive oil by 473 nm laser-induced fluorescence (LIF) with the help of multivariate analysis. Two hundred eighty sets of data are successfully classified to four groups (including olive, rapeseed, peanut, and blend oils). Moreover, a partial least squares model is built to predict the adulteration concentration with the errors lower than 2 %. The detection system will be assembled into a module (110 × 100× 25 mm). Due to non-destructive and requiring no sample pre-treatment characteristic, this method can be effectively employed for food safety detection.

源语言英语
页(从-至)275-279
页数5
期刊Food Analytical Methods
9
1
DOI
出版状态已出版 - 1 1月 2016

指纹

探究 'Portable Detection and Quantification of Olive Oil Adulteration by 473-nm Laser-Induced Fluorescence' 的科研主题。它们共同构成独一无二的指纹。

引用此