Skip to main content
Log in

Classification of Edible Oils by using Time Domain NMR (TD-NMR) Technique and Microwave (MW) Dielectric Spectroscopy

  • Research
  • Published:
Food Analytical Methods Aims and scope Submit manuscript

Abstract

Increasing worldwide food demand as a result of the increasing population has led to an increase in vegetable oil prices. Olive oil, one of the most popular edible oils, is regrettably commonly adulterated by the addition of a different, less expensive oil to lower its price. As a result, many processes are carried out on edible and olive oil is one of the most cheated products today. Microwave dielectric technique (MW), in parallel with Time Domain Nuclear Magnetic Resonance (TD-NMR) technique, has started to be used in food analysis because it can analyze the content of the product, which cannot be distinguished by sensory characteristics in a simple, fast and high-efficiency way.In this study, spin–lattice (T1) and spin–spin (T2) relaxation times of edible oils were measured. Dielectric permittivity constants Ɛ1 and Ɛ2 have also been measured from 10 MHz to 20 GHz. It is observed that spin–spin (T2) and spin–lattice (T1) relaxation times of pure olive oil are shorter than those of sunflower oil and that T1 and T2 are shorter for riviera olive oils than for extra virgin olive oils. It was found that the T1 and T2 values increased with the increase in temperature in the measurements based on the investigation of the impact of temperature on the relaxation times. The highest Ɛ1 values are found in sunflower oils, while the lowest Ɛ1 values are found in riviera olive oil. As is well known, the amounts of oleic and linoleic acid in edible oils also affect the T1-T2, viscosity, and Ɛ12 values. As a result, relaxation times and dielectric parameter constants are used to categorize and distinguish edible oils, particularly extra virgin and riviera olive oils.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data Availability

The data sets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

Download references

Funding

No funding was received for this study.

Author information

Authors and Affiliations

Authors

Contributions

C.O.; writing and interpretation of the manuscript, performed the measurements and all calculations.

Corresponding author

Correspondence to Cengiz Okay.

Ethics declarations

Conflict of interests

Cengiz Okay declares no competing interest. Cengiz Okay declares that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Okay, C. Classification of Edible Oils by using Time Domain NMR (TD-NMR) Technique and Microwave (MW) Dielectric Spectroscopy. Food Anal. Methods 16, 1529–1536 (2023). https://doi.org/10.1007/s12161-023-02520-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12161-023-02520-6

Keywords

Navigation