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Quantitative Analysis of Trans Fatty Acids in Cooked Soybean Oil Using Terahertz Spectrum

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Journal of Applied Spectroscopy Aims and scope

A method for the quantitative analysis of trans fatty acids (TFAs) in cooked soybean oil using terahertz (THz) spectrum is developed. The THz spectra of three groups of soybean oil samples that were cooked at different temperatures for various times were measured using a terahertz time-domain spectrum system (THz–TDS) with frequency range of 0.2–1.5 THz. A partial least squares (PLS) regression model based on the whole THz spectrum was constructed to predict the TFAs content in the cooked soybean oil samples. To reduce noise and improve the prediction accuracy of the model, a subinterval PLS (sub-PLS) model based on a part of the THz spectrum was constructed. This sub-PLS had high accuracy in predicting the TFAs content in cooked soybean oil samples (R = 0.987 and RMSECV = 0.956).

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Authors and Affiliations

  1. Grain Information Processing and Control, Key Laboratory of Ministry of Education, Henan University of Technology, Zhengzhou, China

    F. Y. Lian, H. Y. Ge, Y. Zhang & M. X. Fu

  2. Grain Photoelectric Detection and Control, Key Laboratory of Henan Province, Henan University of Technology, Zhengzhou, China

    F. Y. Lian, H. Y. Ge, Y. Zhang & M. X. Fu

  3. Collaborative Innovation Center of Henan Grain Crops, Zhengzhou, China

    X. J. Ju

Authors
  1. F. Y. Lian
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  2. H. Y. Ge
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  3. X. J. Ju
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  4. Y. Zhang
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  5. M. X. Fu
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Corresponding author

Correspondence to Y. Zhang.

Additional information

Abstract of article is published in Zhurnal Prikladnoi Spektroskopii, Vol. 86, No. 5, p. 837, September–October, 2019.

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Lian, F.Y., Ge, H.Y., Ju, X.J. et al. Quantitative Analysis of Trans Fatty Acids in Cooked Soybean Oil Using Terahertz Spectrum. J Appl Spectrosc 86, 917–924 (2019). https://doi.org/10.1007/s10812-019-00916-z

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  • DOI: https://doi.org/10.1007/s10812-019-00916-z

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