Food Analytical Methods

, Volume 12, Issue 11, pp 2623–2629 | Cite as

New Method for the Discrimination of Adulterated Flaxseed Oil Using Dielectric Spectroscopy

  • Lingyan Zhang
  • Jia Chen
  • Bingyu Jing
  • Yaoyao Dong
  • Xiuzhu YuEmail author


To develop a new and rapid qualitative and quantitative analysis of flaxseed oil adulteration with different vegetable oils, we investigated the dielectric spectroscopy coupled with multivariate methodology in the frequency range between 10 and 3000 MHz. Linear discriminant analysis was used to distinguish flaxseed oil from other adulterants based on dielectric spectra, and the oil samples were easily grouped in different clusters. The partial least square model was developed for the quantification of the sample adulteration percentage independent from the adulterating oil, which showed a good prediction capability for the adulterant concentrations. The calibration provided a correlation coefficient (R-value) of 0.9961, and the blind sample validation indicated that the R-value of the validation and precision analyses was close to 1. Analysis was characterized as having good precision by slightly low relative standard deviation. Thus, dielectric spectroscopy could be effectively used to discriminate adulterated flaxseed oil from different types of oils at 2% levels.


Flaxseed oil Dielectric spectroscopy Adulteration PLS 



Funding was provided by the National Natural Science Foundation of China (No. 31671819).

Compliance with Ethical Standards

Conflict of Interest

Lingyan Zhang, Jia Chen, Bingyu Jing, Yaoyao Dong, Xiuzhu Yu declare that they have no conflict of interest.

Ethical Approval

This article does not contain any studies with human or animal subjects.

Informed Consent

Not applicable.


  1. Abdallah M, Vergara-Barberán M, Lerma-García MJ, Herrero-Martínez JM, Simó-Alfonso EF, Guerfel M (2016) Cultivar discrimination and prediction of mixtures of Tunisian extra virgin olive oils by FTIR. Eur J Lipid Sci Tech 118(8):1236–1242. CrossRefGoogle Scholar
  2. Agiomyrgianaki A, Petrakis PV, Dais P (2010) Detection of refined olive oil adulteration with refined hazelnut oil by employing NMR spectroscopy and multivariate statistical analysis. Talanta 80(5):2165–2171. CrossRefPubMedGoogle Scholar
  3. Akin G, Karuk Elmas ŞN, Arslan FN, Yılmaz İ, Kenar A (2019) Chemometric classification and quantification of cold pressed grape seed oil in blends with refined soybean oils using attenuated total reflectance–mid infrared (ATR–MIR) spectroscopy. LWT-Food Sci Tech 100:126–137. CrossRefGoogle Scholar
  4. Alfaifi B, Wang S, Tang J, Rasco B, Sablani S, Jiao Y (2013) Radio frequency disinfestation treatments for dried fruit: dielectric properties. LWT-Food Sci Tech 50(2):746–754. CrossRefGoogle Scholar
  5. Balvardi M, Mendiola JA, Castro-Gómez P, Fontecha J, Rezaei K, Ibáñez E (2015) Development of pressurized extraction processes for oil recovery from wild almond (Amygdalus scoparia). J Am Oil Chem Soc 92(10):1503–1511. CrossRefGoogle Scholar
  6. Cascant MM, Garrigues S, de la Guardia M (2017) Comparison of near and mid infrared spectroscopy as green analytical tools for the determination of total polar materials in fried oils. Microchem J 135:55–59. CrossRefGoogle Scholar
  7. Chen J, Zhang L, Geng Q, Jing B, Yu X (2018) Determination of Total polar compounds in frying oils by PE-film-based FTIR and ATR-FTIR spectroscopy. Eur J Lipid Sci Tech 120:1800250. CrossRefGoogle Scholar
  8. Cunha SC, Oliveira M (2006) Discrimination of vegetable oils by triacylglycerols evaluation of profile using HPLC/ELSD. Food Chem 95(3):518–524. CrossRefGoogle Scholar
  9. de Souza LM, de Santana FB, Gontijo LC, Mazivila SJ, Borges Neto W (2015) Quantification of adulterations in extra virgin flaxseed oil using MIR and PLS. Food Chem 182:35–40. CrossRefPubMedGoogle Scholar
  10. Elzey B, Pollard D, Fakayode SO (2016) Determination of adulterated neem and flaxseed oil compositions by FTIR spectroscopy and multivariate regression analysis. Food Control 68:303–309. CrossRefGoogle Scholar
  11. Goyal A, Sharma V, Upadhyay N, Gill S, Sihag M (2014) Flax and flaxseed oil: an ancient medicine & modern functional food. J Food Sci Tech 51(9):1633–1653. CrossRefGoogle Scholar
  12. Guo W, Liu Y, Zhu X, Wang S (2011) Temperature-dependent dielectric properties of honey associated with dielectric heating. J Food Eng 102(3):209–216. CrossRefGoogle Scholar
  13. Hai Z, Wang J (2006) Detection of adulteration in camellia seed oil and sesame oil using an electronic nose. Eur J Lipid Sci Tech 108(2):116–124. CrossRefGoogle Scholar
  14. Hu L, Toyoda K, Ihara I (2008) Dielectric properties of edible oils and fatty acids as a function of frequency, temperature, moisture and composition. J Food Eng 88(2):151–158. CrossRefGoogle Scholar
  15. Hu L, Toyoda K, Ihara I (2010) Discrimination of olive oil adulterated with vegetable oils using dielectric spectroscopy. J Food Eng 96(2):167–171. CrossRefGoogle Scholar
  16. Khurram AA, ul-Haq I, Khan A, Hussain R, Gul IH (2017) Enhancement of dielectric constant of graphene–epoxy composite by inclusion of nanodiamond particles. J Electron Mater 47:1713–1720. CrossRefGoogle Scholar
  17. Kudra T, Raghavan V, Akyel C, Bosisio R, Voort F (2016) Electromagnetic properties of milk and its constituents at 2.45 GHz. J Micro Power Electromagn Energy 27(4):199–204. CrossRefGoogle Scholar
  18. Li Q, Yu X, Yang Y, Liu X (2017) Simple determination of diacylglycerols using thin layer chromatography and visible spectrophotometry. Food Anal Method 11(2):236–242. CrossRefGoogle Scholar
  19. Liu L, Yu X, Zhao Z, Xu L, Zhang R (2017) Efficient salt-aided aqueous extraction of bitter almond oil. J Sci Food Agric 97:3814–3821. CrossRefPubMedGoogle Scholar
  20. Lucarini M, Durazzo A, Sanchez Del Pulgar J, Gabrielli P, Lombardi-Boccia G (2018) Determination of fatty acid content in meat and meat products: the FTIR-ATR approach. Food Chem 267:223–230. CrossRefPubMedGoogle Scholar
  21. Manni A, El-Bayoumy K (2016) Do omega-3 fatty acids reduce the risk of breast cancer in postmenopausal obese women? Expert Rev Endocrinol Metab 11(5):365–367. CrossRefPubMedGoogle Scholar
  22. Mori TA (2014) Omega-3 fatty acids and cardiovascular disease: epidemiology and effects on cardiometabolic risk factors. Food Funct 5(9):2004–2019. CrossRefPubMedGoogle Scholar
  23. Nunes AC, Bohigas X, Tejada J (2006) Dielectric study of milk for frequencies between 1 and 20GHz. J Food Eng 76(2):250–255. CrossRefGoogle Scholar
  24. Pace WE, Westphal WB, Goldblith SA (1968) Dielectric properties of commercial cooking oils. J Food Sci 33(1):30–36. CrossRefGoogle Scholar
  25. Rudan-Tasic D, Klofutar C (1999) Characteristics of vegetable oils of some slovene manufacturers. Acta Chim Slov 46:511–521Google Scholar
  26. Shah ZH, Tahir QA (2011) Dielectric properties of vegetable oils. Pak J Sci Res 3:481–492. CrossRefGoogle Scholar
  27. Shuai Q, Zhang L, Li P, Zhang Q, Wang X, Ding X et al (2014) Rapid adulteration detection for flaxseed oil using ion mobility spectrometry and chemometric methods. Anal Methods 6:9575–9580. CrossRefGoogle Scholar
  28. Sosa-Morales ME, Valerio-Junco L, López-Malo A, García HS (2010) Dielectric properties of foods: reported data in the 21st century and their potential applications. LWT-Food Sci Tech 43(8):1169–1179. CrossRefGoogle Scholar
  29. Sun X, Zhang L, Li P, Xu B, Ma F, Zhang Q, Zhang W (2015) Fatty acid profiles based adulteration detection for flaxseed oil by gas chromatography mass spectrometry. LWT-Food Sci Tech 63(1):430–436. CrossRefGoogle Scholar
  30. Tanaka F, Morita K, Mallikarjunan P, Hung YC, Ezeike GOI (2005) Analysis of dielectric properties of soy sauce. J Food Eng 71(1):92–97. CrossRefGoogle Scholar
  31. Venkatesh MS, Raghavan GSV (2004) An overview of microwave processing and dielectric properties of agri-food materials. Biosyst Eng 88(1):1–18. CrossRefGoogle Scholar
  32. Wang M, Zhang XJ, Feng K, He C, Li P, Hu YJ, Su H, Wan JB (2016) Dietary alpha-linolenic acid-rich flaxseed oil prevents against alcoholic hepatic steatosis via ameliorating lipid homeostasis at adipose tissue-liver axis in mice. Sci Rep 6:26826. CrossRefPubMedPubMedCentralGoogle Scholar
  33. Wang T, Wu HL, Long WJ, Hu Y, Cheng L, Chen AQ, Yu RQ (2019) Rapid identification and quantification of cheaper vegetable oil adulteration in camellia oil by using excitation-emission matrix fluorescence spectroscopy combined with chemometrics. Food Chem 293:348–357. CrossRefPubMedGoogle Scholar
  34. Yang J, Zhao KS, He YJ (2016) Quality evaluation of frying oil deterioration by dielectric spectroscopy. J Food Eng 180:69–76. CrossRefGoogle Scholar
  35. Zabaras D, Gordon MH (2004) Detection of pressed hazelnut oil in virgin olive oil by analysis of polar components: improvement and validation of the method. Food Chem 84(3):475–483. CrossRefGoogle Scholar
  36. Zhang Q, Liu C, Sun Z, Hu X, Shen Q, Wu J (2012) Authentication of edible vegetable oils adulterated with used frying oil by Fourier transform infrared spectroscopy. Food Chem 132(3):1607–1613. CrossRefPubMedGoogle Scholar
  37. Zhao H, Guo B, Wei Y, Zhang B (2013) Near infrared reflectance spectroscopy for determination of the geographical origin of wheat. Food Chem 138(2–3):1902–1907. CrossRefPubMedGoogle Scholar
  38. Zhou X, Li R, Lyng JG, Wang SJ (2018) Dielectric properties of kiwifruit associated with a combined radio frequency vacuum and osmotic drying. J Food Eng 239:72–82. CrossRefGoogle Scholar
  39. Zhu X, Guo W, Wang S (2014) Dielectric properties of ground hazelnuts at different frequencies, temperatures, and moisture contents. Trans ASABE 57(1):161–168. CrossRefGoogle Scholar
  40. Zhu X, Fang L, Gu J, Guo W (2015) Feasibility investigation on determining soluble solids content of peaches using dielectric spectra. Food Anal Method 9(6):1789–1798. CrossRefGoogle Scholar
  41. Zou MQ, Zhang XF, Qi XH, Ma HL, Dong Y, Liu CW, Guo X, Wang H (2009) Rapid authentication of olive oil adulteration by Raman spectrometry. J Agric Food Chem 57(14):6001–6006. CrossRefPubMedGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Food Science and EngineeringNorthwest A&F UniversityYanglingPeople’s Republic of China

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