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Mid-infrared spectroscopy and support vector machines applied to control the hydrogenation process of soybean oil

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Abstract

The industrial hydrogenation of soybean oil is well established. However, its control is carried out through time-consuming methods. The objective of this study was to evaluate the mid-infrared spectroscopy (FTIR-ATR) in tandem with support vector machines (SVM) in controlling the hydrogenation process. Models were constructed to predict the content of saturated fatty acids (SFA), unsaturated fatty acids (UFA), monounsaturated fatty acids (MUFA), trans fatty acids (TFA), polyunsaturated fatty acids (PUFA) and the iodine value (IV). The values predicted by the SVM models were compared to values obtained through gas chromatography. Feasible multivariate models were obtained with r 2 minimum of 0.96 and RMSEP in the range of 0.65–2.65. Feature selection using correlation spectra was also efficient, maintaining the performance of the models and reducing the number of variables used by up to 94%. Therefore, it was demonstrated that FTIR-ATR methodology with SVM could be applied to monitor industrial hydrogenation.

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Acknowledgements

The authors thank CNPq (448249/2014-6) and Fundação Araucária (36652.410.40381.28022013) for their financial support.

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Authors and Affiliations

  1. Post-Graduation Program of Food Technology (PPGTA), Federal University of Technology, Paraná (UTFPR), Via Rosalina Maria dos Santos, 1233, P.O. Box 271, Campo Mourão, Paraná, CEP 87301-899, Brazil

    Jorge Leonardo Sanchez & Evandro Bona

  2. Chemistry Department, Federal University of Technology, Paraná (UTFPR), Via Rosalina Maria dos Santos, 1233, P.O. Box 271, Campo Mourão, Paraná, CEP 87301-899, Brazil

    Sérgio Benedito Gonçalves Pereira

  3. Food Department, Federal University of Technology, Paraná (UTFPR), Via Rosalina Maria dos Santos, 1233, P.O. Box 271, Campo Mourão, Paraná, CEP 87301-899, Brazil

    Patrícia Casarin de Lima, Gabriela Possebon, Augusto Tanamati & Ailey Aparecida Coelho Tanamati

  4. Institute of Chemistry, State University of Campinas (UNICAMP), P.O. Box 6154, Campinas, SP, CEP 13083-970, Brazil

    Ronei Jesus Poppi

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  1. Jorge Leonardo Sanchez
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  2. Sérgio Benedito Gonçalves Pereira
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  8. Evandro Bona
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Correspondence to Evandro Bona.

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Sanchez, J.L., Pereira, S.B.G., de Lima, P.C. et al. Mid-infrared spectroscopy and support vector machines applied to control the hydrogenation process of soybean oil. Eur Food Res Technol 243, 1447–1457 (2017). https://doi.org/10.1007/s00217-017-2855-9

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  • DOI: https://doi.org/10.1007/s00217-017-2855-9

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