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Comparison of homemade TD-NMR device and commercial devices for detection of oil adulteration

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Abstract

The analysis of edible oils, which have an important place in human health, is very significant. One of the most widely used edible oil is olive oil, which unfortunately is very frequently adulterated by adding a different, cheaper oil to reduce its cost. Therefore, a useful and economical method or device is needed to detect counterfeiting and adulteration of oils. In this study, a low-cost, easy-to-use, lightweight, and practical time-domain nuclear magnetic resonance (TD-NMR) device was developed for quality control and food safety applications, including testing edible oils. For this purpose, a measurement system, consisting of an O-shaped magnet with NdFeB permanent disc magnets, a radio frequency (RF) detection probe and a temperature stabilization/control system, was designed. Using this homemade device, the spin–lattice (T1) and spin–spin (T2) relaxation times of seven different olive oils were measured. The received results were compared with those obtained by two different commercial low-field NMR (LF-NMR) devices. It was established a good agreement between the experimental results obtained on the homemade system and the commercial LF-NMR devices. Detection of various grades of olive oil, as well as oil adulteration, was demonstrated for a set of different olive oils and a mixture of olive and sunflower oils using the developed homemade TD-NMR device.

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Data Availability Statement

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

References

  1. V. Kostik, S. Memeti, B. Bauer, Fatty acid composition of edible oils and fats. J. Hyg. Eng. Des. 4, 112–116 (2013)

    Google Scholar 

  2. M.B.R. Moreira, M.E. Castell-Perez, Deep Fat Frying: Fundamentals and Applications (Aspen Publications, Gaithersburg, Maryland, 1999)

    Google Scholar 

  3. D.K. Salunkhe, R.N. Adsule, J.K. Chavan, S.S. Kadam, World Oilseeds: Chemistry, Technology and Utilization, 1st edn. (Springer New York, 1992). ISBN978-0-442-00112-4

    Google Scholar 

  4. J. Giese, Fats, oils and fat replacers. Food Technol. 50, 78–84 (1996)

    Google Scholar 

  5. P.C. Calder, Functional roles of fatty acids and their effects on human health. J. Parenter. Enter. Nutr. 39, 18S-32S (2015). https://doi.org/10.1177/0148607115595980

    Article  Google Scholar 

  6. F. Pérez-Jiménez, J. Ruano, P. Perez-Martinez, F. Lopez-Segura, J. Lopez-Miranda, The influence of olive oil on human health: not a question of fat alone. Mol. Nutr. Food Res. 51, 1199–1208 (2007). https://doi.org/10.1002/mnfr.200600273

    Article  Google Scholar 

  7. A. Foscolou, E. Critselis, D. Panagiotakos, Olive oil consumption and human health: a narrative review. Maturitas 118, 60–66 (2018). https://doi.org/10.1016/j.maturitas.2018.10.013

    Article  Google Scholar 

  8. Q. Zhang, A.S.M. Saleh, Q. Shen, Discrimination of edible vegetable oil adulteration with used frying oil by low field nuclear magnetic resonance. Food Bioprocess Technol. 6, 2562–2570 (2013). https://doi.org/10.1007/s11947-012-0826-5

    Article  Google Scholar 

  9. M. Hajimahmoodi, Y. Vander Heyden, N. Sadeghi, B. Jannat, M.R. Oveisi, S. Shahbazian, Gas-chromatographic fatty-acid fingerprints and partial least squares modeling as a basis for the simultaneous determination of edible oil mixtures. Talanta 66, 1108–1116 (2005). https://doi.org/10.1016/j.talanta.2005.01.011

    Article  Google Scholar 

  10. I. Marcos Lorenzo, J.L. Pérez Pavón, M.E. Fernández Laespada, C. García Pinto, B. Moreno Cordero, Detection of adulterants in olive oil by headspace-mass spectrometry. J. Chromatogr. A 945, 221–230 (2002). https://doi.org/10.1016/S0021-9673(01)01502-3

    Article  Google Scholar 

  11. S.C. Cunha, M.B.P.P. Oliveira, Discrimination of vegetable oils by triacylglycerols evaluation of profile using HPLC/ELSD. Food Chem. 95, 518–524 (2006). https://doi.org/10.1016/j.foodchem.2005.03.029

    Article  Google Scholar 

  12. E. Chiavaro, M.T. Rodriguez-Estrada, C. Barnaba, E. Vittadini, L. Cerretani, A. Bendini, Differential scanning calorimetry: a potential tool for discrimination of olive oil commercial categories. Anal. Chim. Acta 625, 215–226 (2008). https://doi.org/10.1016/j.aca.2008.07.031

    Article  Google Scholar 

  13. M.J. Lerma-García, G. Ramis-Ramos, J.M. Herrero-Martínez, E.F. Simó-Alfonso, Authentication of extra virgin olive oils by Fourier-transform infrared spectroscopy. Food Chem. 118, 78–83 (2010). https://doi.org/10.1016/j.foodchem.2009.04.092

    Article  Google Scholar 

  14. Q. Zhang, C. Liu, Z. Sun, X. Hu, Q. Shen, J. Wu, Authentication of edible vegetable oils adulterated with used frying oil by Fourier transform infrared spectroscopy. Food Chem. 132, 1607–1613 (2012). https://doi.org/10.1016/j.foodchem.2011.11.129

    Article  Google Scholar 

  15. K.I. Poulli, G.A. Mousdis, C.A. Georgiou, Synchronous fluorescence spectroscopy for quantitative determination of virgin olive oil adulteration with sunflower oil. Anal. Bioanal. Chem. 386, 1571–1575 (2006). https://doi.org/10.1007/s00216-006-0729-2

    Article  Google Scholar 

  16. D. Šmejkalová, A. Piccolo, High-power gradient diffusion NMR spectroscopy for the rapid assessment of extra-virgin olive oil adulteration. Food Chem. 118, 153–158 (2010). https://doi.org/10.1016/j.foodchem.2009.04.088

    Article  Google Scholar 

  17. A. Cataldo, E. Piuzzi, G. Cannazza, E. De Benedetto, L. Tarricone, Quality and anti-adulteration control of vegetable oils through microwave dielectric spectroscopy. Meas. J. Int. Meas. Confed. 43, 1031–1039 (2010). https://doi.org/10.1016/j.measurement.2010.02.008

    Article  Google Scholar 

  18. M.D. Guillén, A. Ruiz, Edible oils: discrimination by 1H nuclear magnetic resonance. J. Sci. Food Agric. 83, 338–346 (2003). https://doi.org/10.1002/jsfa.1317

    Article  Google Scholar 

  19. W.A. Salah, M. Nofal, Review of some adulteration detection techniques of edible oils. J. Sci. Food Agric. 101, 811–819 (2021). https://doi.org/10.1002/jsfa.10750

    Article  Google Scholar 

  20. Xu. Maninder MeenuQianxi CaiBaojun, A critical review on analytical techniques to detect adulteration of extra virgin olive oil. Trends Food Sci. Technol. 91, 391–408 (2019)

    Article  Google Scholar 

  21. G. Guthausen, H. Todt, W. Burk, D. Schmalbein, A. Kamlowski, Time-domain NMR in quality control: more advanced methods. Mod. Magn. Reson. (2008). https://doi.org/10.1007/1-4020-3910-7_195

    Article  Google Scholar 

  22. T.A. van Beek, Low-field benchtop NMR spectroscopy: status and prospects in natural product analysis. Phytochem. Anal. 32, 24–37 (2021). https://doi.org/10.1002/pca.2921

    Article  Google Scholar 

  23. H. Todt, G. Guthausen, W. Burk, D. Schmalbein, A. Kamlowski, Water/moisture and fat analysis by time-domain NMR. Food Chem. 96, 436–440 (2006). https://doi.org/10.1016/j.foodchem.2005.04.032

    Article  Google Scholar 

  24. H. Todt, G. Guthausen, W. Burk, D. Schmalbein, A. Kamlowski, Time-domain NMR in quality control: standard applications in food, in Modern Magnetic Resonance (Springer, Dordrecht, 2008), pp 1739–1743. https://doi.org/10.1007/1-4020-3910-7_196

    Chapter  Google Scholar 

  25. G.V. Mozzhukhin, G.V. Kupriyanova, S.S. Mamadazizov, A. Maraşlı, B.Z. Rameev, Low-field 14N nuclear magnetic resonance for detection of dangerous liquids. Chem. Phys. 513, 129–134 (2018). https://doi.org/10.1016/j.chemphys.2018.07.032

    Article  Google Scholar 

  26. J.C. Hindman, A. Svirmickas, M. Wood, Relaxation processes in water. A study of the proton spin-lattice relaxation time. J. Chem. Phys. 59, 1517–1522 (1973). https://doi.org/10.1063/1.1680209

    Article  ADS  Google Scholar 

  27. Y. Sato, O. Miyawaki, Relationship solutions between proton NMR relaxation time and viscosity of saccharide. Food Sci. Technol. Res. 6, 136–139 (2000). https://doi.org/10.3136/fstr.6.136

    Article  Google Scholar 

  28. J. Bryan, A. Kantzas, C. Bellehumeur, Oil-viscosity predictions from low-field NMR measurements. SPE Reserv. Eval. Eng. 8, 44–52 (2005). https://doi.org/10.2118/89070-PA

    Article  Google Scholar 

  29. X. Hou, G. Wang, X. Wang, X. Ge, Y. Fan, R. Jiang, S. Nie, Rapid screening for hazelnut oil and high-oleic sunflower oil in extra virgin olive oil using low-field nuclear magnetic resonance relaxometry and machine learning. J. Sci. Food Agric. 101, 2389–2397 (2021). https://doi.org/10.1002/jsfa.10862

    Article  Google Scholar 

  30. V.R. dos Santos, V. Goncalves, P. Deng, A.C. Ribeiro, M.M. Teigao, B. Dias, I. Mendes Pinto, J. Gallo, W.K. Peng, Novel time-domain NMR-based traits for rapid, label-free Olive oils profiling. Npj Sci. Food (2022). https://doi.org/10.1038/s41538-022-00173-z

    Article  Google Scholar 

  31. P.M. Santos, F.V.C. Kock, M.S. Santos, C.M.S. Lobo, A.S. Carvalho, L.A. Colnago, Non-invasive detection of adulterated olive oil in full bottles using time-domain NMR relaxometry. J. Braz. Chem. Soc. 28, 385–390 (2017). https://doi.org/10.5935/0103-5053.20160188

    Article  Google Scholar 

  32. Z. Xu, R.H. Morris, M. Bencsik, M.I. Newton, Detection of virgin olive oil adulteration using low field unilateral NMR. Sensors 14, 2028–2035 (2014). https://doi.org/10.3390/s140202028

    Article  ADS  Google Scholar 

  33. A. Gradišek, M. Cifelli, D. Ancora, A. Sepe, B. Zalar, T. Apih, V. Domenici, Analysis of extra virgin olive oils from two Italian regions by means of proton nuclear magnetic resonance relaxation and relaxometry measurements. J. Agric. Food Chem. 69, 12073–12080 (2021). https://doi.org/10.1021/acs.jafc.1c00622

    Article  Google Scholar 

  34. S. Ok, Detection of olive oil adulteration by low-field NMR relaxometry and UV–Vis spectroscopy upon mixing olive oil with various edible oils. Grasas Aceites 68, 1–13 (2017). https://doi.org/10.3989/gya.0678161

    Article  Google Scholar 

  35. A. Gottvald, Optimal magnet design for NMR. IEEE Trans. Magn. 26, 399–402 (1990). https://doi.org/10.1109/20.106338

    Article  ADS  Google Scholar 

  36. M. Gupta, C.P. Safvan, K. Singh, D.K. Lobiyal, P. Yadav, S. Singh, Radio frequency planar coil-based on-chip probe for portable nuclear magnetic resonance. IEEE Sens. J. 19, 2500–2508 (2019). https://doi.org/10.1109/JSEN.2018.2887274

    Article  ADS  Google Scholar 

  37. T. Meng, P. Zhang, A review of thermal monitoring techniques for radial permanent magnet machines. Machines (2022). https://doi.org/10.3390/machines10010018

    Article  Google Scholar 

  38. H. Malcolm, Levitt, Spin Dynamics: Basics of Nuclear Magnetic Resonance, 2nd edn. (Wiley, Chichester, 2008)

    Google Scholar 

  39. T. Řezanka, H. Řezanková, Characterization of fatty acids and triacylglycerols in vegetable oils by gas chromatography and statistical analysis. Anal. Chim. Acta 398, 253–261 (1999). https://doi.org/10.1016/S0003-2670(99)00385-2

    Article  Google Scholar 

  40. A. Vávra, M. Hájek, D. Kocián, The influence of vegetable oils composition on separation of transesterification products, especially quality of glycerol. Renew. Energy 176, 262–268 (2021). https://doi.org/10.1016/j.renene.2021.05.050

    Article  Google Scholar 

  41. C. Xing, X. Yuan, X. Wu, X. Shao, J. Yuan, W. Yan, Chemometric classification and quantification of sesame oil adulterated with other vegetable oils based on fatty acids composition by gas chromatography. LWT 108, 437–445 (2019). https://doi.org/10.1016/j.lwt.2019.03.085

    Article  Google Scholar 

  42. H. Yalcın, T.D. Capar, H. Kavuncuoglu, Effects of extra virgin olive and Riviera olive oil addition on the properties of butter: an optimization study based on D-optimal mixture design. Eur. J. Sci. Technol. 546–555 (2019). https://doi.org/10.31590/ejosat.580737

    Article  Google Scholar 

  43. M. Davila, X. Liu, Z. Yusufali, X. Du, Using texture analyzer to characterize pecan and olive oil tactile properties, compare to viscometer analysis, and link to fatty acid profile and total polyphenols. J. Texture Stud. (2022). https://doi.org/10.1111/jtxs.12664

    Article  Google Scholar 

  44. N. Deng, N. Cao, P. Li, Y. Peng, X. Li, L. Liu, H. Pu, S. Xie, J. Luo, Z. Wu, M. Liu, Microfluidic evaluation of some edible oil quality based on viscosity and interfacial tensions. Int. J. Food Sci. Technol. 53, 946–953 (2018). https://doi.org/10.1111/ijfs.13667

    Article  Google Scholar 

  45. P. Hlaváč, M. Božiková, A. Petrović, Selected physical properties assessment of sunflower and olive oils. Acta Technol. Agric. 22, 86–91 (2019). https://doi.org/10.2478/ata-2019-0016

    Article  Google Scholar 

  46. A.C. Okafor, T.O. Nwoguh, A study of viscosity and thermal conductivity of vegetable oils as base cutting fluids for minimum quantity lubrication machining of difficult-to-cut metals. Int. J. Adv. Manuf. Technol. 106, 1121–1131 (2020). https://doi.org/10.1007/s00170-019-04611-3

    Article  Google Scholar 

  47. H.C. Torrey, Bloch equations with diffusion terms. Phys. Rev. 104(3), 563–565 (1956)

    Article  ADS  Google Scholar 

  48. P. Charles, Slichter, Principles of Magnetic Resonance (Springer, Berlin, 1990)

    Google Scholar 

  49. R. Kimmich, NMR – Tomography, Diffusometry, Relaxometry, 1st edn. (Springer, Berlin, 1997). e-lSBN-13: 978-3-642-60582-6

    Google Scholar 

  50. N.K. Andrikopoulos, I.G. Giannakis, V. Tzamtzis, Analysis of olive oil and seed oil triglycerides by capillary gas chromatography as a tool for the detection of the adulteration of olive oil. J. Chromatogr. Sci. 39, 137–145 (2001). https://doi.org/10.1093/chromsci/39.4.137

    Article  Google Scholar 

  51. H. Jabeur, A. Zribi, J. Makni, A. RebaiI, R. Abdelhedi, M. Bouaziz, Detection of chemlali extra-virgin olive oil adulteration mixed with soybean oil, corn oil, and sunflower oil by using GC and HPLC. J. Agric. Food Chem. 62, 4893–4904 (2014)

    Article  Google Scholar 

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Acknowledgements

The work has been supported by NATO Science for Peace and Security (NATO SPS) Programme, project No. 985005 (G5005). Authors also acknowledge a partial support by East Marmara Development Agency (MARKA, project No. TR42/16/ÜRETİM/0013). A. Maraşlı acknowledges the financial support of the Scientific and Technical Research Council of Turkey (TUBİTAK) by 2214-A International Research Fellowships Program for PhD Students. A. Maraşlı is also very grateful to Prof. Dr. Jens Anders for the possibility to work at the Institute of Smart Sensors (IIS) of Stuttgart University as a guest scientist.

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AM: writing the manuscript, measurements, calculations, design and construction of TD-NMR device. CO: measurements and calculations. ÖK: contribution to measurements, writing and editing in the manuscript. GM and BR: supervision the study, theoretical explanations, editing the manuscript and funding support. All authors contributed in preparation and edition of the manuscript.

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Correspondence to Ayşe Maraşlı.

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Maraşlı, A., Okay, C., Karataş, Ö. et al. Comparison of homemade TD-NMR device and commercial devices for detection of oil adulteration. Eur. Phys. J. Plus 138, 374 (2023). https://doi.org/10.1140/epjp/s13360-023-03980-9

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