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Industrial Hydrogenation Process Monitoring Using Ultra-compact Near-Infrared Spectrometer and Chemometrics

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Abstract

The hydrogenation process of soybean oil is monitored through time-consuming methodologies that demand sample preparation and produce chemical residues. Thus, it is necessary to develop faster low-cost waste-free instrumentation methodologies. The aim of this work was to evaluate an ultra-compact near-infrared spectrometer in tandem with the partial least squares regression (PLSR) or support vector regression (SVR) in the control of the hydrogenation process. Models were used to predict the 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 PLSR and SVR models were compared to the experimental values obtained by gas chromatography. A methodology for feature selection was also assessed, which was able to reduce by up to 85% the variables used in the models without loss of performance. The values obtained for root mean square error of cross validation, root mean square error of calibration, root mean square error of prediction, and r 2 remained very close for both PLSR and SVR. Regarding RSD, all values were above 5% for the PLSR models, whereas for the SVR, the RSD presented values lower than 5% for IV and UFA. It is worth noting that the spectrometer used has low cost, effortless assembly, and easy handling, which allows its use in any environment. Through the results obtained, it was demonstrated that the ultra-compact NIRS spectrometer in tandem with PLSR or SVR represent an alternative to monitor the industrial hydrogenation process of soybean oil.

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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, 87301-899, Brazil

    Juliana Mendes Garcia Pereira, Jorge Leonardo Sanchez, Ailey Aparecida Coelho Tanamati & Evandro Bona

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

    Patricia Casarin de Lima, Gabriela Possebon & Augusto Tanamati

Authors
  1. Juliana Mendes Garcia Pereira
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  2. Jorge Leonardo Sanchez
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  3. Patricia Casarin de Lima
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  4. Gabriela Possebon
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  5. Augusto Tanamati
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  6. Ailey Aparecida Coelho Tanamati
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  7. Evandro Bona
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Correspondence to Evandro Bona.

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Funding

This study was funded by CNPq (grant number 448249/2014–6).

Conflict of Interest

Juliana Mendes Garcia Pereira declares that she has no conflict of interest. Jorge Leonardo Sanchez declares that he has no conflict of interest. Patrícia Casarin de Lima declares that she has no conflict of interest. Gabriela Possebon declares that she has no conflict of interest. Augusto Tanamati declares that he has no conflict of interest. Ailey Aparecida Coelho Tanamati declares that she has no conflict of interest. Evandro Bona declares that he has no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Pereira, J.M.G., Sanchez, J.L., de Lima, P.C. et al. Industrial Hydrogenation Process Monitoring Using Ultra-compact Near-Infrared Spectrometer and Chemometrics. Food Anal. Methods 11, 188–200 (2018). https://doi.org/10.1007/s12161-017-0989-9

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  • DOI: https://doi.org/10.1007/s12161-017-0989-9

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