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Detecting adulteration in mustard oil using low-frequency dielectric spectroscopy

Author

Listed:
  • Venkatesh Mishra

    (Department of Physics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, India)

  • Satyendra Pratap Singh

    (Department of Physics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, India)

  • Sumit Kaur Bhatia

    (Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh Noida, India)

  • Vishal Singh Chandel

    (Department of Applied Science & Humanities, Rajkiya Engineering College, Ambedkar Nagar, Uttar Pradesh, India)

  • Rajiv Manohar

    (Department of Physics, University of Lucknow, Lucknow Uttar Pradesh, India)

Abstract

This paper presents a dielectric spectroscopy approach for analysing the quality of food products. This study aimed to detect the adulteration in mustard oil using dielectric spectroscopy in the 1 to 10 MHz frequency range at a temperature of 30 to 50 °C. The dielectric data were used to predict the adulteration in oils at the given frequency range. The finding indicates that using data analysis techniques can further improve the capacity of dielectric sensing to detect adulterated edible oil. Using MATLAB R2021a, linear relationships between the frequency and adulteration percentage variables were obtained to predict the dielectric constant and dielectric loss factor values. A paired sample t-test was used to analyse the effects of the frequency and adulteration on the dielectric parameters, with a significance level of 0.05 being set for the differences. Correlation coefficients (R2) > 0.96 were established using regression equations relating the dielectric constant, dielectric loss, and adulteration.

Suggested Citation

  • Venkatesh Mishra & Satyendra Pratap Singh & Sumit Kaur Bhatia & Vishal Singh Chandel & Rajiv Manohar, 2024. "Detecting adulteration in mustard oil using low-frequency dielectric spectroscopy," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 70(3), pages 134-142.
    • Handle: RePEc:caa:jnlrae:v:70:y:2024:i:3:id:108-2023-rae
    DOI: 10.17221/108/2023-RAE
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