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Rapid Detection of Adulteration in Mixing Sesame, Sunflower, and Canola Vegetable Oils by Mathematical Model

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Abstract

The aim of this study was to investigate the application of a mathematical model to rapid detect the adulteration in sesame, canola, and sunflower oils. To hit this target, we combined the refined sesame oil with canola and sunflower oils in different concentrations of 30–60%. Furthermore, fatty acid content of 12 samples of sesame, canola, and sunflower oils was analyzed using the gas chromatography (GC). Chromatograms were analyzed to diagnose and classify the fatty acid types. The results achieved from the experiments were analyzed using Excel 2016. The results showed that decreasing the amounts of sesame oil in different mixture oils reduces the stearic acid content and increases the amount of linolenic acid. For the model development, the mathematical model using the polynomial function was used. Finally, a mathematical formula was successfully designed to determine the amount of sesame oil in the mixture of sesame, canola, and sunflower vegetable oils (R2= 0.995). Finally, application of the mathematical models can be a quick, low-cost, and effective method to detect adulteration in sesame oils.

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Acknowledgements

The authors would like to thank to Neshatavar (Datis) Yazd food industry, Yazd, Iran.

Funding

This study was funded by Islamic Azad University, Yazd, Iran.

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Authors and Affiliations

  1. Department of Food Science and Technology, Faculty of Agriculture and Natural Resource, Yazd Branch, Islamic Azad University, Yazd, Iran

    Roya Malekahmadi & Seyed Ali Yasini Ardakani

  2. Department of Industrial Management, Faculty of Management, Yazd Branch, Islamic Azad University, Yazd, Iran

    Abolfazl Sadeghian

  3. Department of Environmental Health Engineering, School of Health, Pistachio safety Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran

    Hadi Eslami

Authors
  1. Roya Malekahmadi
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  2. Seyed Ali Yasini Ardakani
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  3. Abolfazl Sadeghian
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  4. Hadi Eslami
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Corresponding author

Correspondence to Seyed Ali Yasini Ardakani.

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Malekahmadi, R., Yasini Ardakani, S.A., Sadeghian, A. et al. Rapid Detection of Adulteration in Mixing Sesame, Sunflower, and Canola Vegetable Oils by Mathematical Model. Food Anal. Methods 14, 1456–1463 (2021). https://doi.org/10.1007/s12161-021-01980-y

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  • DOI: https://doi.org/10.1007/s12161-021-01980-y

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