from 01.01.2021 to 01.01.2023
Institute for Analytical Instrumentation RAS
employee from 01.01.2021 to 01.01.2023
St. Petersburg, Russian Federation
St. Petersburg, Russian Federation
St. Petersburg, Russian Federation
St. Petersburg, Russian Federation
St. Petersburg, Russian Federation
Food safety and quality are especially important in the dairy industry. Mass spectrometry is an effective tool of state control in this sphere. The research objective was to study the prospects for gas mass spectrometry with smart mathematical processing in assessing the composition and quality of dairy products. The study featured 11 samples of fresh and acidified yoghurts from different manufacturers and with various starters, functional food additives, etc. These samples and their packaging were evaluated using a small-sized quadrupole gas mass spectrometer MS7-200 with electron impact ionization developed at the Institute for Analytical Instrumentation, Russian Academy of Sciences. The data obtained were mathematically processed by the method of principal components. Based on the ratios of peak intensities at m/z = 55, 56, 57, 58, 59, 60, 61, 64, 67, 69, 70, 71, 72, 73, 74, 84, 85, and 88 Da, the fresh and expired samples were classified not only by the degree of freshness, but also by the composition and quality of the microbiological starters, raw materials, food additives, etc. In addition, some packaging materials proved to be of poor quality. In this study, the method of gas mass spectrometry was supplemented by the authentic methods for selecting gas emissions from yoghurts and packaging, accelerated acidification, and smart mathematical processing. The approach proved to be time-saving, sensitive, selective, available, and cost-effective. As a result, it demonstrated good potential as a means to control the composition and quality of dairy products and their packaging.
Dairy products, yoghurts, food additives, packaging materials, mass spectrometry, quality control, principal component method, polyethylene terephthalate
1. Usenko NI, Yakovleva LM, Otmakhova YuS. Information asymmetry and consumer behavior in the market of dairy products. Food Processing: Techniques and Technology. 2016;41(2):156–163. (In Russ.). https://www.elibrary.ru/TWZOQF
2. Shemchuk MA, Komarcheva OS, Shadrin VG. Marketing communication barriers and how to overcome them. Food Processing: Techniques and Technology. 2023;53(2):294–308. (In Russ.). https://doi.org/10.21603/2074-9414-2023-2-2433; https://www.elibrary.ru/VLDPOJ
3. Komarova ON, Havkin AI. Cultured milk foods in children’s nutrition: Nutritional and biological value. Russian Bulletin of Perinatology and Pediatrics. 2017;62(5):80–86. (In Russ.). https://doi.org/10.21508/1027-4065-2017-62-5-80-86; https://www.elibrary.ru/ZRPYMB
4. Shiby VK, Mishra HN. Fermented milks and milk products as functional foods – A review. Critical Reviews in Food Science and Nutrition. 2013;53(5):482–496. https://doi.org/10.1080/10408398.2010.547398
5. Amarowicz R. Squalene: A natural antioxidant? European Journal of Lipid Science and Technology. 2009;111(5):411–412. https://doi.org/10.1002/ejlt.200900102
6. Asafov VA, Tankova HL, Iskakova EL. Functional high protein drink with casein hydrolysate and protein fractions of colostrum. Innovations and Food Safety. 2018;20(2):51–54. (In Russ.). https://www.elibrary.ru/XOVJNB
7. Donskaya GA, Drozhzhin VM, Bryzgalina VV. Fermented drinks supplemented with whey proteins and water-soluble antioxidants. Vestnik of MSTU. Scientific Journal of Murmansk State Technical University. 2018;21(3):471–480. (In Russ.). https://doi.org/10.21443/1560-9278-2018-21-3-471-480; https://www.elibrary.ru/YLAMAX
8. Zobkova ZS, Fursova TP, Zenina DV, Gavrilina AD, Shelaginova IR, Drozhin VM. Selection of the sources of biologically active substances for functional fermented milk products. Dairy Industry. 2018;(3):59–62. (In Russ.). https://doi.org/10.31515/1019-8946-2018-3-59-62; https://www.elibrary.ru/YORRFF
9. Vásquez-Mazo P, Loredo AG, Ferrario M, Guerrero S. Development of a novel milk processing to produce yogurt with improved quality. Food and Bioprocess Technology. 2019;12:964–975. https://doi.org/10.1007/s11947-019-02269-z
10. Agarkova EYu, Ryazantseva KA, Kruchinin AG. Anti-diabetic activity of whey proteins. Food Processing: Techniques and Technology. 2020;50(2):306–318. (In Russ.). https://doi.org/10.21603/2074-9414-2020-2-306-318; https://www.elibrary.ru/NJTHXE
11. Yankovskaya VS, Dunchenko NI, Mikhaylova KV. New structured dairy products based on quality complaints and risk qualimetry. Food Processing: Techniques and Technology. 2022;52(1):2–12. (In Russ.). https://doi.org/10.21603/2074-9414-2022-1-2-12; https://www.elibrary.ru/HMLJKW
12. Wishart DS. Metabolomics: Applications to food science and nutrition research. Trends in Food Science and Technology. 2008;19(9):482–493. https://doi.org/10.1016/j.tifs.2008.03.003
13. Sibirtsev VS. Fluorescent DNA probes: Study of mechanisms of changes in spectral properties and features of practical application. Biochemistry (Moscow). 2007;7:887–900. https://doi.org/10.1134/S0006297907080111
14. Sibirtsev VS, Naumov IA, Kuprina EE, Olekhnovich RO. Use of impedance biotesting to assess the actions of pharmaceutical compounds on the growth of microorganisms. Pharmaceutical Chemistry Journal. 2016;50:481–485. https://doi.org/10.1007/s11094-016-1473-3
15. Duan Y, Wang L, Gao Z, Wang H, Zhang H, Li H. An aptamer-based effective method for highly sensitive detection of chloramphenicol residues in animal-sourced food using real-time fluorescent quantitative PCR. Talanta. 2017;165:671–676. https://doi.org/10.1016/j.talanta.2016.12.090
16. Sibirtsev VS. Biological test methods based on fluorometric genome analysis. Journal of Optical Technology. 2017;84(11):787–791. http://doi.org/10.1364/JOT.84.000787
17. Xie Y, Hu Q, Zhao M, Cheng Y, Guo Y, Qian H, et al. Simultaneous determination of erythromycin, tetracycline, and chloramphenicol residue in raw milk by molecularly imprinted polymer mixed with solid-phase extraction. Food Analytical Methods. 2018;11:374–381. https://doi.org/10.1007/s12161-017-1008-x
18. Kokina MS, Frioui M, Shamtsyan MM, Sibirtsev VS, Krasnikova LV, Konusova VG, et al. Influence of pleurotus ostreatus β-glucans on the growth and activity of certain lactic acid bacteria. Scientific Study and Research: Chemistry and Chemical Engineering, Biotechnology, Food Industry. 2018;19(4):465–471.
19. Yurova EA. Controlling dairy quality and safety. Milk processing. 2019;234(4):6–9. (In Russ.). https://www.elibrary.ru/KLXMWE
20. Sibirtsev VS, Uspenskaya MV, Garabadgiu AV, Shvets VI. An integrated method of instrumental microbiotesting of environmental safety of various products, wastes, and territories. Doklady Biological Sciences. 2019;485:59–61. https://doi.org/10.1134/S001249661902011X
21. Sibirtsev VS, Garabadgiu AV, Shvets VI. New method of integrated photofluorescence microbiotesting. Doklady Biological Sciences. 2019;489:196–199. https://doi.org/10.1134/S0012496619060103
22. Chiesa LM, DeCastelli L, Nobile M, Martucci F, Mosconi G, Fontana M, et al. Analysis of antibiotic residues in raw bovine milk and their impact toward food safety and on milk starter cultures in cheese-making process. LWT. 2020;131:109783. https://doi.org/10.1016/j.lwt.2020.109783
23. Sibirtsev VS, Nechiporenko UYu. Method of electrochemical biotesting for comparative analysis of probiotic and antibiotic properties of various plant extracts. Fine Chemical Technologies. (In Russ.). 2020;15(6):34–43. https://doi.org/10.32362/2410-6593-2020-15-6-34-43; https://www.elibrary.ru/QLRRRX
24. Sibirtsev VS, Nechiporenko UYu, Kabanov VL, Kukin MYu. Electrochemical and optical microbiological testing: A comparative study on properties of essential oils. Food Processing: Techniques and Technology. 2020;50(4):650–659. (In Russ.). https://doi.org/10.21603/2074-9414-2020-4-650-659; https://www.elibrary.ru/GKIXML
25. Mou SA, Islam R, Shoeb M, Nahar N. Determination of chloramphenicol in meat samples using liquid chromatography-tandem mass spectrometry. Food Science and Nutrition. 2021;9(10):5670–5675. https://doi.org/10.1002/fsn3.2530
26. Wu S-W, Ko J-L, Liu B-H, Yu F-Y. A sensitive two-analyte immunochromatographic strip for simultaneously detecting aflatoxin M1 and chloramphenicol in milk. Toxins. 2020;12(10):637. https://doi.org/10.3390/toxins12100637
27. Zhao M, Li X, Zhang Y, Wang Y, Wang B, Zheng L, et al. Rapid quantitative detection of chloramphenicol in milk by microfluidic immunoassay. Food Chemistry. 2021;339:127857. https://doi.org/10.1016/j.foodchem.2020.127857
28. Vuran B, Ulusoy HI, Sarp G, Yilmaz E, Morgül U, Kabir A, et al. Determination of chloramphenicol and tetracycline residues in milk samples by means of nanofiber coated magnetic particles prior to high-performance liquid chromatography-diode array detection. Talanta. 2021;230:122307. https://doi.org/10.1016/j.talanta.2021.122307
29. Kurchenko VP, Simonenko ES, Sushynskaya NV, Halavach TN, Petrov AN, Simonenko SV. HPLC identification of mare’s milk and its mix with cow’s milk. Food Processing: Techniques and Technology. 2021;51(2):402–412. (In Russ.). https://doi.org/10.21603/2074-9414-2021-2-402-412; https://www.elibrary.ru/SMTJTY
30. Chaplygina OS, Prosekov AYu, Vesnina AD. Determining the residual amount of amphenicol antibiotics in milk and dairy products. Food Processing: Techniques and Technology. 2022;52(1):79–88. (In Russ.). https://doi.org/10.21603/2074-9414-2022-1-79-88; https://www.elibrary.ru/JOHIFZ
31. Anan'eva EP, Bogdanova OYu, Gurina SV, Sibirtsev VS. Using a conductometric method in microbiological control of natural excipients. Pharmaceutical Chemistry Journal. 2022;56:872–876. https://doi.org/10.1007/s11094-022-02721-z
32. Sibirtsev VS, Nechiporenko UYu, Kabanov VL, Kukin MYu, Radin MA. The procedure of electrochemical microbiological assay for comparative analysis of the properties of various plant extracts. Journal of Siberian Federal University. Biology. 2023;16(1):109–124. (In Russ.). https://www.elibrary.ru/ZZYKWQ
33. Muratshin AM, Shmakov VS, Tyrsin YuA. Determination of nature of ethanol by method of chromato-mass-spectral analysis. Beer and Beverages. 2005;(6):40–42. (In Russ.). https://www.elibrary.ru/NDULCC
34. Milman BL, Konopel'ko LA. Modern mass spectrometry: Proportions of developments. Mass-spektrometria. 2006;3(4):271–276. https://www.elibrary.ru/HVISDH
35. Dass C. Fundamentals of contemporary mass spectrometry. John Wiley & Sons; 2007. 610 p. https://doi.org/10.1002/0470118490
36. Mil’man BL, Zhurkovich IK. Mass spectrometric analysis of medical samples and aspects of clinical diagnostics. Journal of Analytical Chemistry. 2015;70:1179–1191. https://doi.org/10.1134/S1061934815100135
37. Kuzʹmin AG, Tkachenko EI, Oreshko LS, Titov YuA, Balabanov AS. Method of mass spectrometric express diagnostics based on the composition of exhaled air. Medical Academic Journal. 2016;16(4):106–107. (In Russ.). https://www.elibrary.ru/XWQLQB
38. Manoilov VV, Kuzmin AG, Titov UA. Extraction of information attributes from the mass spectrometric signals of air. Journal of Analytical Chemistry. 2016;71:1301–1308. https://doi.org/10.1134/S1061934816140094
39. Lu H, Zhang H, Chingin K, Xiong J, Fang X, Chen H. Ambient mass spectrometry for food science and industry. TrAC – Trends in Analytical Chemistry. 2018;107:99–115. https://doi.org/10.1016/j.trac.2018.07.017
40. Sibirtsev VS, Kuzmin AG, Titov YuA, Zanevskaya MYu, Zaitseva AYu. Possibilities of mass spectrometric quality control of dairy products on the example of industrial yoghurts with various additives. Scientific Instrumentation. 2023;33(4):101–110. (In Russ.). https://www.elibrary.ru/UCSGXO
41. Manoilov VV, Kuzmin AG, Zarutskiy IV, Titov YuA, Samsonova NS. Methods of processing and investigation of the possibilities of classification of mass spectra of exhaled gases. Scientific Instrumentation. 2019;29(1):106–111. (In Russ.). https://www.elibrary.ru/ZCTQYP
42. Manoilov VV, Novikov LV, Zarutskii IV, Kuz’min AG, Titov YuA. Methods for processing mass spectrometry signals from exhaled gases for medical diagnosis. Biomedical Engineering. 2020;53:355–359. https://doi.org/10.1007/s10527-020-09942-0
43. Kim Dzh-O, Mʹyuller ChU, Klekka UR, Oldenderfer MS, Blehshfild RK. Factor, discriminant, and cluster analyses. Moscow: Finansy i statistika; 1989. 215 p. (In Russ.).