Innovative approaches to quality and safety assessment of meat products based on the digitalization of the storage system
https://doi.org/10.48184/2304-568X-2025-1-35-40
Abstract
In the context of increasing demands for the quality and safety of food products, the integration of innovative storage technologies has become essential. This study aims to evaluate the impact of storage conditions and the Dixell XWEB300 monitoring system on the quality and safety of meat products enriched with plant-based components. The primary objective is to assess the effectiveness of digital systems in preventing oxidative processes, preserving organoleptic characteristics, and extending the shelf life of products. The scientific significance of this research lies in developing novel approaches to leveraging digital technologies for minimizing microbiological risks and enhancing the quality of meat products. The practical relevance is supported by findings that demonstrate improved microbiological indicators and preserved organoleptic properties under digital monitoring conditions compared to traditional methods. The methodology includes experiments to measure thiobarbituric and peroxide values, along with temperature and humidity monitoring under standard and digital storage conditions. The findings highlight the potential of digitalization to improve product quality and foster consumer trust. The results provide a foundation for further advancements in digital storage systems within the food industry.
About the Authors
M. S. SerikkyzyKazakhstan
050012, Almaty, Tole bi str., 100
T. K. Kulazhanov
Kazakhstan
050012, Almaty, Tole bi str., 100
L. K. Baibolova
Kazakhstan
050012, Almaty, Tole bi str., 100
D. K. Balev
Bulgaria
4002, Plovdiv, 26 Maritza blvd
References
1. Liu D., Zeng X. A., Sun D. W. Recent developments and applications of hyperspectral imaging for quality evaluation of agricultural products: a review //Critical reviews in food science and nutrition. – 2015. – V. 55. – №. 12. – pp. 1744-1757.
2. Vignati S. et al. Hyperspectral Imaging for Fresh-Cut Fruit and Vegetable Quality Assessment: Basic Concepts and Applications //Applied Sciences. – 2023. – V. 13. – №. 17. – pp. 9740.
3. Wu D., Sun D. W. Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review—Part I: Fundamentals //Innovative Food Science & Emerging Technologies. – 2013. – V. 19. – pp. 1-14.
4. Barbara C. et al. Artificial intelligence-driven automation is how we achieve the next level of efficiency in meat processing //Animal Frontiers. – 2022. – Vol. 12. – No. 2. – pp. 56-63.
5. Kayikchi Yu., Ozbiltekin M., Kazankoglu Yu. Minimization of losses in the red meat supply chain using the ring and central slaughterhouse model //Journal of Corporate Information Management. - 2020. – vol. 33. – No. 4. – pp. 791-816.
6. Otmakhova Y. S., Asavasanti S. Possibilities of digital transformation in the food industry //World of Economics and Management. – 2020. – Vol. 2020. – No. 1. – pp. 116-127
7. GOST 9959-2015. Myaso i miasnye produkty. Obshchie usloviya provedeniya organolepticheskoy otsenki [Meat and Meat Products. General Conditions for Organoleptic Assessment]. 2016, p. 19. (In Russian).
8. ST RK GOST 54354-2011. Myaso i miasnye produkty. Obshchie trebovaniya i metody mikrobiologicheskogo analiza [Meat and Meat Products. General Requirements and Methods for Microbiological Analysis]. 2013, p. 42. (In Russian).
9. GOST 55480-2013. Myaso i miasnye produkty. Metod opredeleniya kislotnogo chisla [Meat and Meat Products. Method for Determining Acid Number]. 2013, p. 8. (In Russian).
10. GOST 34118-2017. Myaso i miasnye produkty. Metod opredeleniya peroksidnogo chisla [Meat and Meat Products. Method for Determining Peroxide Number]. 2017, p. 12. (In Russian).
11. GOST 55810-2013. Myaso i miasnye produkty. Metod opredeleniya tiobarbiturovogo chisla [Meat and Meat Products. Method for Determining Thiobarbituric Acid Number]. 2017, p. 8. (In Russian).
12. Tehnicheskiy reglament 021/2011 "O bezopasnosti pischevyih produktov" [Elektronnyiy resurs] [Technical Regulation 021 / 2011 "On food safety" [Electronic resource]: URL: https://adilet.zan.kz/rus/docs/H11T0000880. (In Russian).
13. Dale L. M. et al. Hyperspectral imaging applications in agriculture and agro-food product quality and safety control: A review //Applied Spectroscopy Reviews. – 2013. – V. 48. – №. 2. – pp. 142-159.
14. Amin R. A., Edris S. N. Grape seed extract as natural antioxidant and antibacterial in minced beef //PSM Biological Research. – 2017. – V. 2. – №. 2. – pp. 89-96.
15. Holohan B. C. et al. Principles, advances, and perspectives of anaerobic digestion of lipids //Environmental science & technology. – 2022. – V. 56. – №. 8. – pp. 4749-4775.
Review
For citations:
Serikkyzy M.S., Kulazhanov T.K., Baibolova L.K., Balev D.K. Innovative approaches to quality and safety assessment of meat products based on the digitalization of the storage system. The Journal of Almaty Technological University. 2025;147(1):35-40. https://doi.org/10.48184/2304-568X-2025-1-35-40