Selection of gelling agents to achieve high homogeneity of a concentrated product from quince (Cydonia Oblonga) fruits using graph theory

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.344558

Keywords:

sol, gel, thixotropy, syneresis, xerogel, colloid, graph, vertices, edge, incidence, adjacency

Abstract

This study investigates the quality of a concentrated quince fruit product. Given the widespread use of concentrated fruit products, particularly quince jelly, in various climatic zones, as well as their potential as a medicinal and dietary product, assessing product quality using mathematical methods, particularly graph theory, is of interest in processing technology.

Quince fruits, with their rich chemical composition, stand out among other fruits with their pleasant aroma. These volatile components migrate into the finished product, even after the raw materials are processed. Quince jelly is obtained by concentrating the juice, resulting in the formation of a colloidal system. However, manufacturing the product using gel technology, or more accurately, sol-gel technology, is determined by the added ingredients and environmental parameters. The advantage of this technology is that the resulting product has a more homogeneous appearance and a pleasant taste. The viscosity of the resulting product varies little across grades, averaging 2.17∙104 mPa∙s, and its Valent strength is 400. In terms of material flows, the consumption per ton of finished product was 1,328 kg.

The structure of fruit jelly is formed by the addition of gelling agents to the juice. Therefore, this product is not considered the result of a strict sol-gel processing method, where the transition from sol to gel structure occurs through chemical reactions. In fruit jelly, the ingredients themselves create a three-dimensional network structure, but not a solid crystalline one. This network structure is formed by hydrolysis of pectin substances and the polycondensation of polygalacturonic acids, resulting in the formation of salt bridges.

Author Biographies

Melahet Ismayilova, Ganja State University

PhD Student

Department of Mathematical Analysis

Mushfiq Khalilov, Azerbaijan Technological University

Doctor of Philosophy in Technics, Associate Professor

Department of Food Engineering and Expertise

Mehriban Maharramova, Azerbaijan State University of Economics

Doctor of Philosophy in biology, Associate Professor

Department of Engineering and Applied Sciences

Maryam Mammadaliyeva, Azerbaijan State University of Economics

Doctor of Philosophy in Biology, Lecturer

Department of Engineering and Applied Sciences

Elza Omarova, Azerbaijan State University of Economics

Doctor of Philosophy in Technics, Associate Professor

Department of Engineering and Applied Sciences

Ahad Nabiyev, Azerbaijan Technological University

Doctor of Biological Sciences, Professor

Department of Food Engineering and Expertise

Afet Gasimova, Azerbaijan Technological University

Doctor of Philosophy in Technics, Associate Professor

Department of Food Engineering and Expertise

References

  1. Ameen, S., Shaheer Akhtar, M., Jiménez-Suárez, A., Seisdedos, G. (Eds.) (2024). Nanotechnology and Nanomaterials Annual Volume 2024. Intechopen. https://doi.org/10.5772/intechopen.115572
  2. Abdurakhmanov, E., Abdurakhmanov, I. Er., Begimkulov, J. N., Ismoilov, E. K., Kholmurzaev, F. F. (2023). Analytical chemistry zol-gel is produced on the basis of processes ammonia uses nanomaterials creation of selective gas sensors. European Journal of Emerging Technology and Discoveries, 1 (9), 24–31. Available at: https://europeanscience.org/index.php/1/article/view/341
  3. Nabizadeh, M., Nasirian, F., Li, X., Saraswat, Y., Waheibi, R., Hsiao, L. C., Bi, D. et al. (2024). Network physics of attractive colloidal gels: Resilience, rigidity, and phase diagram. Proceedings of the National Academy of Sciences, 121 (3). https://doi.org/10.1073/pnas.2316394121
  4. Niu, Y., Fan, Y., Zhang, J. (2025). Progress and Challenge in the Risk Management of Food Additives. Journal of Food Protection, 88 (10), 100607. https://doi.org/10.1016/j.jfp.2025.100607
  5. Mazur, L. M., Popova, I. V., Simurova, N. V., Sliva, Yu. V. (2014). Fiziko-himicheskie processy geleobrazovaniya pektinov v pishevyh tehnologiyah. Sahar, 1, 1–5. Available at: https://dspace.nuft.edu.ua/server/api/core/bitstreams/f403b104-d84d-4147-88a6-1716c8336bb5/content
  6. Wan-Mohtar, W. A. A. Q. I., Abdul Halim-Lim, S., Pillai Balamurugan, J., Mohd Saad, M. Z., Azizan, N. A. Z., Jamaludin, A. A., Ilham, Z. (2021). Effect of Sugar-Pectin-Citric Acid Pre-Commercialization Formulation on the Physicochemical, Sensory, and Shelf-Life Properties of Musa cavendish Banana Jam. Sains Malaysiana, 50 (5), 1329–1342. https://doi.org/10.17576/jsm-2021-5005-13
  7. Kastner, H., Kern, K., Wilde, R., Berthold, A., Einhorn-Stoll, U., Drusch, S. (2014). Structure formation in sugar containing pectin gels – Influence of tartaric acid content (pH) and cooling rate on the gelation of high-methoxylated pectin. Food Chemistry, 144, 44–49. https://doi.org/10.1016/j.foodchem.2013.06.127
  8. da Costa Amaral, S., Roux, D., Caton, F., Rinaudo, M., Barbieri, S. F., Meira Silveira, J. L. (2021). Extraction, characterization and gelling ability of pectins from Araçá (Psidium cattleianum Sabine) fruits. Food Hydrocolloids, 121, 106845. https://doi.org/10.1016/j.foodhyd.2021.106845
  9. Barros, F. C. N., da Silva, D. C., Sombra, V. G., Maciel, J. S., Feitosa, J. P. A., Freitas, A. L. P., de Paula, R. C. M. (2013). Structural characterization of polysaccharide obtained from red seaweed Gracilaria caudata (J Agardh). Carbohydrate Polymers, 92 (1), 598–603. https://doi.org/10.1016/j.carbpol.2012.09.009
  10. Ciancia, M., Matulewicz, M. C., Tuvikene, R. (2020). Structural Diversity in Galactans From Red Seaweeds and Its Influence on Rheological Properties. Frontiers in Plant Science, 11. https://doi.org/10.3389/fpls.2020.559986
  11. Gubsky, S. M., Muzyka, S. M., Foshan, A. L., Evlash, V. V., Kalugin, O. N. (2018). Reologic properties of aqueous solutions of agar and gelatine for confectionery. Kharkiv University Bulletin. Chemical Series, 31, 64–78. https://doi.org/10.26565/2220-637x-2018-31-06
  12. Bui, T. N. T. V. (2019). Structure, Rheological Properties and Connectivity of Gels Formed by Carrageenan Extracted from Different Red Algae Species. Organic chemistry. Le Mans Université. Available at: https://theses.hal.science/tel-02077051/file/2019LEMA1007.pdf
  13. Kravchenko, A. O., Anastyuk, S. D., Glazunov, V. P., Sokolova, E. V., Isakov, V. V., Yermak, I. M. (2020). Structural characteristics of carrageenans of red alga Mastocarpus pacificus from sea of Japan. Carbohydrate Polymers, 229, 115518. https://doi.org/10.1016/j.carbpol.2019.115518
  14. Wei, Y., Lin, S., Lin, W., Nie, Y., Zou, X., Zheng, Y. et al. (2025). The Impact of κ‐Carrageenan on the Textural, Microstructural, and Molecular Properties of Heat‐Induced Egg White Protein Gel. Food Science & Nutrition, 13 (8). https://doi.org/10.1002/fsn3.70541
  15. Zhang, X., Yousaf, S., Naeem, A., Tawfiq, F. M., Aslam, A. (2024). Analyzing topological descriptors of guar gum and its derivatives for predicting physical properties in carbohydrates. Chemometrics and Intelligent Laboratory Systems, 253, 105203. https://doi.org/10.1016/j.chemolab.2024.105203
  16. Qurratulain, M., Asha, S. B., Waseem, A. H. (2024). A Review of Graph Theory and Its Applications Across Various Disciplines. International Research Journal of Engineering and Technology (IRJET), 11 (03). Available at: https://www.irjet.net/archives/V11/i3/IRJET-V11I325.pdf
  17. Huang, R., Naeem, M., Siddiqui, M. K., Rauf, A., Rashid, M. U., Ali, M. A. (2024). Statistical analysis of topological indices in linear phenylenes for predicting physicochemical properties using algorithms. Scientific Reports, 14 (1). https://doi.org/10.1038/s41598-024-70187-y
  18. Liu, S., Huang, S., Li, L. (2016). Thermoreversible gelation and viscoelasticity of κ-carrageenan hydrogels. Journal of Rheology, 60 (2), 203–214. https://doi.org/10.1122/1.4938525
  19. Zabashta, Y. F., Kovalchuk, V. I., Svechnikova, O. S,. Vergun, L. Y., Bulavin, L. A. (2024). The sol-gel transition in hydrogels as the first-order phase transition. Ukrainian Journal Of Physics, 69 (6), 409–416. https://doi.org/10.15407/ujpe69.6.409
  20. Ghosh, D., Győri, E., Paulos, A., Salia, N., Zamora, O. (2020). The maximum Wiener index of maximal planar graphs. Journal of Combinatorial Optimization, 40 (4), 1121–1135. https://doi.org/10.1007/s10878-020-00655-4
  21. Min, W., Liu, C., Xu, L., Jiang, S. (2022). Applications of knowledge graphs for food science and industry. Patterns, 3 (5), 100484. https://doi.org/10.1016/j.patter.2022.100484
Selection of gelling agents to achieve high homogeneity of a concentrated product from quince (Cydonia Oblonga) fruits using graph theory

Downloads

Published

2025-12-29

How to Cite

Ismayilova, M., Khalilov, M., Maharramova, M., Mammadaliyeva, M., Omarova, E., Nabiyev, A., & Gasimova, A. (2025). Selection of gelling agents to achieve high homogeneity of a concentrated product from quince (Cydonia Oblonga) fruits using graph theory. Eastern-European Journal of Enterprise Technologies, 6(11 (138), 54–63. https://doi.org/10.15587/1729-4061.2025.344558

Issue

Section

Technology and Equipment of Food Production