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

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• 作者：Taotao Mu ; Siying Chen ; Yinchao Zhang ; He Chen ; Pan Guo…
• 关键词：Fluorescence ; Laser ; induced fluorescence ; Portable detection ; Principal component analysis ; Support vector machine
• 刊名：Food Analytical Methods
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：9
• 期：1
• 页码：275-279
• 全文大小：514 KB
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• 作者单位：Taotao Mu (1)
  Siying Chen (1)
  Yinchao Zhang (1)
  He Chen (1)
  Pan Guo (1)
  Fandong Meng (1)
  
  1. School of Optoelectronics, Beijing Institute of Technology, Beijing, China, 100081
  
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Food Science
  Chemistry
  Microbiology
  Analytical Chemistry
  
• 出版者：Springer New York
• ISSN：1936-976X

文摘

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. Keywords Fluorescence Laser-induced fluorescence Portable detection Principal component analysis Support vector machine