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Application of Fourier Transform Infrared Spectroscopy Combined with Pattern Recognition Method for Rapid Authentication of Edible Oil

  • Liu Lingling ,
  • Wu Yanwen ,
  • Zhang Xu ,
  • Ouyang Jie ,
  • Li Bingning ,
  • Hou Min ,
  • Chen Shuncong
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  • a Department of Food Science and Engineering, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083;
    b Beijing Engineering Research Center of Food Safety Analysis, Beijing Center for Physical and Chemical Analysis, Beijing 100089

Received date: 2011-10-19

  Revised date: 2012-01-18

  Online published: 2012-02-06

Supported by

Project supported by the Natural Science Foundation of Beijing (No. 7102021).

Abstract

The rapidly analytical method for authenticity of edible oil was established by Fourier transform infrared spectroscopy (FTIR) combined with soft independent modeling of class analogy (SIMCA). Based on fingerprint characteristics of FTIR, the spectra of 53 qualified edible oils and 13 false edible oils were analyzed. After preprocessing these spectra data with second derivative and normalization, principal component analysis (PCA) was used to extract the characteristic variables in pattern recognition. Then, 43 qualified oils and 9 false oils were selected as training set to establish SIMCA classification model. And the model was validated by other 10 qualified oils and 4 false oils as validation set with the correct recognition rate of 100%. The results demonstrated that FTIR combined with chemometrics could be alternatively used to rapidly and simply determine the authenticity of edible oil.

Cite this article

Liu Lingling , Wu Yanwen , Zhang Xu , Ouyang Jie , Li Bingning , Hou Min , Chen Shuncong . Application of Fourier Transform Infrared Spectroscopy Combined with Pattern Recognition Method for Rapid Authentication of Edible Oil[J]. Acta Chimica Sinica, 2012 , 70(08) : 995 -1000 . DOI: 10.6023/A1110193

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