Imaging Science and Photochemistry ›› 2017, Vol. 35 ›› Issue (2): 147-152.DOI: 10.7517/j.issn.1674-0475.2017.02.147

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Rapid Determination of Edible Oil Fatty Acids Using Confocal Laser Microscopy Raman Spectroscopy

DONG Jingjing, WU Jingzhu, CHEN Yan, LIU Cuiling   

  1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, P. R. China
  • Received:2017-01-10 Revised:2017-02-15 Online:2017-03-15 Published:2017-03-15

Abstract:

Objective:To study using the confocal laser microscopy Raman Spectroscopy for Rapid Analysis of edible oil saturated fatty acids(SFA), monounsaturated fatty acids(MUFA)and polyunsaturated fatty acid(PUFA) the content and proportion. Methods:Cleaning Raman spectroscopy information by derivative pretreatment, using partial least squares to establish optimized Raman quantitative prediction model of SFA, MUFA, PUFA, which providing accurate data base for the calculation of the proportion of fatty acids. Results:Determination coefficient R2 of SFA, MUFA and PUFA quantitative analysis model were greater than 0.99, the RPD is greater than 3, indicating that the model has high stability and good predictive ability. Conclusion:Laser Raman spectroscopy combined with chemometrics methods can quickly and accurately determine the content and proportion of edible oil SFA, MUFA, PUFA, providing a practical detection methods for the rapid detection of edible oil quality.

Key words: edible oil, Raman spectroscopy, partial least squares, saturated fatty acids, unsaturated fatty acids