Fatty Acid Profile of Functional Emulsion-Based Food Products Containing Conventional and Unconventional Ingredients

Main Article Content

Almas Mukhametov
Laura Mamayeva
Moldir Yerbulekova
Gulsim Aitkhozhayeva

Keywords

blends, food additives, peroxide value, storage temperature conditions

Abstract

The creation of new emulsion-based food products has great potential for the food industry at the present stage of its development. The purpose of the paper is to explore the physical and chemical characteristics (content of fatty acids and tocopherols) of nine mixtures (blends) of conventional and unconventional vegetable oils with regard to the changes in the peroxide values of the oil blends stored under different temperatures for different periods. The study was conducted in 2020 in Almaty (Kazakhstan). Nine vegetable oil blends were prepared by mixing conventional and unconventional ingredients. Each of the resulting blends was tested in 30 replicates for the content of fatty acids (oleic, linoleic, and linolenic acids) and tocopherols. The blends were stored at 10°C and 20°C. Samples were taken to determine peroxide values. The results were compared to the control (refined sunflower oil). In all nine blends, the optimal ratio of the evaluated fatty acids and the optimal concentration of tocopherols were confirmed. After 6 months of storage, the peroxide values of blend No. 1 stored at 10°C and 20°C were 3 and 6, respectively. Blend No. 2 stored for the same period at the same temperatures demonstrated the respective peroxide values of 2.5 and 4.5. For blend No. 3, the respective values obtained were 2.5 and 5.5, and for blend No. 4, the respective values were 3.0 and 6.5. The most drastic changes were observed in blend No. 5, with respective peroxide values of 2.5 and 7.2. The respective peroxide values of blend No. 6 were 3.7 and 5.5, blend No. 7, 3.5 and 7.0, blend No. 8, 4.0 and 6.5, and blend No. 9, .5 and 5.5. All in all, the peroxide values of the nine tested blends were significantly lower than those of the control (p ≤ 0.05–0.01). The proposed nine blends can be used as food additives exhibiting biological activities. After 6 months of storage, the minimal changes in the peroxide values were observed in blend Nos. 2 and 3, while the maximum changes were reported for blend Nos. 5, 7, and 8. In the future, an investigation of the therapeutic effects of the obtained blends should be undertaken, with a focus on possible adverse heating-induced changes in some components (flaxseed oil).

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References

Bulat P.V. and Volkov K.N. 2016. Detonation jet engine. Part II—construction features. Int J Environ Sci Educ. 11(12): 5020–5033.

Cerceau C.I., Barbosa L.C., Alvarenga E.S., Maltha C.R. and Ismail F.M. 2020. 1H-NMR and GC for detection of adulteration in commercial essential oils of Cymbopogon ssp. Phytochem Anal. 31(1): 88–97. 10.1002/pca.2869

Juliani H.R., Kapteyn J., Jones D., Koroch A.R., Wang M., Charles D. and Simon J.E. 2006. Application of near-infrared spectroscopy in quality control and determination of adulteration of African essential oils. Phytochem Anal. 17(2): 121–128. 10.1002/pca.895

Khudzaifi M., Retno S.S. and Rohman A. 2019. The employment of FTIR spectroscopy and chemometrics for authentication of essential oil of Curcuma mangga from candle nut oil. Food Res. 4(2): 515–521. 10.26656/fr.2017.4(2).313

Marchetti L., Pellati F., Benvenuti S. and Bertelli D. 2019. Use of 1H NMR to detect the percentage of pure fruit juices in blends. Molecules. 24(14): 2592. 10.3390/molecules24142592

Orsavova J., Misurcova L., Ambrozova J.V., Vicha R. and Mlcek J. 2015. Fatty acids composition of vegetable oils and its contribution to dietary energy intake and dependence of cardiovascular mortality on dietary intake of fatty acids. Int J Mol Sci. 16(6): 12871–12890. 10.3390/ijms160612871.

Papotti G., Bertelli D., Graziosi R., Maietti A., Tedeschi P., Marchetti A. and Plessi M. 2015. Traditional balsamic vinegar and balsamic vinegar of Modena analyzed by nuclear magnetic resonance spectroscopy coupled with multivariate data analysis. LWT—Food Sci Tech. 60(2): 1017–1024. 10.1016/j.lwt.2014.10.042

Popescu R., Costinel D., Dinca O.R., Marinescu A., Stefanescu I. and Ionete R.E. 2015. Discrimination of vegetable oils using NMR spectroscopy and chemometrics. Food Control. 48: 84–90. 10.1016/j.foodcont.2014.04.046

Raveau R., Fontaine J. and Lounès-Hadj Sahraoui A. 2020. Essential oils as potential alternative bio-control products against plant pathogens and weeds: a review. Foods. 9(3): 365. 10.3390/foods9030365

Rueda A., Seiquer I., Olalla M., Giménez R., Lara L. and Cabrera-Vique C. 2014. Characterization of fatty acid profile of argan oil and other edible vegetable oils by gas chromatography and discriminant analysis. J Chem. 2014: 843908. 10.1155/2014/843908

Safonov V. 2022. Comparison of LPO-AOS indices and biochemical composition of animal blood in biogeochemical provinces with different levels of selenium. Biol Trace Elem Res. 200: 2055–2061. 10.1007/s12011-021-02825-9.

Samburova M., Safonov V. and Avdushko S. 2022. Ecological and biological features of the primrose distribution in Transbaikalia as the model territory of Eastern Siberia. Bot Rev. 88: 50–62. 10.1007/s12229-021-09264-0

Truzzi E., Marchetti L., Benvenuti S., Ferroni A., Rossi M.C. and Bertelli D. 2021. Novel strategy for the recognition of adulterant vegetable oils in essential oils commonly used in food industries by applying 13C NMR spectroscopy. J Agric Food Chem. 69(29): 8276–8286. 10.1021/acs.jafc.1c02279.

Vargas Jentzsch P., Gualpa F., Ramos L.A. and Ciobotă V. 2018. Adulteration of clove essential oil: detection using a handheld Raman spectrometer. Flavour Fragr J. 33(2): 184–190. 10.1002/ffj.3438

Ventsova I. and Safonov V. 2021. Biochemical screening of lipid peroxidation and antioxidant protection in imported cows during adaptation. Adv Anim Vet Sci. 9(8): 1203–1210. 10.17582/journal.aavs/2021/9.8.1203.1210

Vigli G., Philippidis A., Spyros A. and Dais P. 2003. Classification of edible oils by employing 31P and 1H NMR spectroscopy in combination with multivariate statistical analysis. A proposal for the detection of seed oil adulteration in virgin olive oils. J Agric Food Chem. 51(19): 5715–5722. 10.1021/jf030100z.