Preview

Storage and Processing of Farm Products

Advanced search

Forecasting the Shelf Life of Confectionery Products under Accelerated Storage Conditions: Scoping Review

https://doi.org/10.36107/spfp.2022.354

Abstract

Background. Determining the shelf life of food products is a long, complex and time-consuming task. In conditions of accelerated aging, changes in the quality of products occur much faster. Therefore, using the regularities of quality changes in conditions of accelerated aging, it is possible to predict the nature of changes in the traditional storage of products in a short period. Forecasting changes in the quality, taste properties during storage and shelf life of confectionery products is an urgent task for their manufacturers. It is known that with an increase in the storage temperature, the rate of changes in the quality of products changes significantly. However, quantitative mathematical dependences of changes in quality indicators depending on temperature for specific names of confectionery products are not widely presented. 
Purpose. The purpose of the study was to study scientific papers on the prediction of shelf life, generalization of existing data on the methodology for assessing the safety of confectionery products of different groups and raw materials for their production.
Materials and methods. Scientific publications of Russian and foreign authors on the issues of forecasting the shelf life of food products, semi-finished products and raw materials for their manufacture in conditions of "accelerated aging" were used in the preparation of the review. The search for published articles, conference materials, dissertations and monographs on the topic under study in Russian and English was carried out in the Scopus databases and eLibrary.ru . Generalization of the results was used as a research method.
Results. The results of the work of Russian and foreign scientists on predicting the safety of chocolate, flour and sugar confectionery products from 1982 to 2021 are summarized. It is shown that during storage, all food products, raw materials and semi-finished products for their manufacture are subject to physical and chemical changes as a result of microbiological and oxidative processes. The speed of such processes depends on the chemical composition, properties of packaging materials and storage conditions of products. Many authors have shown that with an increase in temperature, the rate of oxidative and microbiological spoilage processes increases significantly. 
Conclusions. The revealed patterns and established conversion coefficients of changes in the content of vitamins, peroxide number in confectionery products with "accelerated aging" compared to the conditions of traditional storage will allow you to manage the spoilage processes and develop measures to guarantee the established shelf life. It should be noted that there is no single approach to determining the expiration date. Based on the results of the review, it is concluded that the Arrhenius model is the most acceptable for predicting the shelf life of confectionery products in conditions of "accelerated aging".

About the Authors

Nikolay B. Kondratiev
VNIIKP is a branch of the V.M. Gorbatov Federal Research Center for Food Systems of the Russian Academy of Sciences
Russian Federation


Oksana S. Rudenko
VNIIKP is a branch of the V.M. Gorbatov Federal Research Center for Food Systems of the Russian Academy of Sciences
Russian Federation


Maxim V. Osipov
VNIIKP is a branch of the V.M. Gorbatov Federal Research Center for Food Systems of the Russian Academy of Sciences
Russian Federation


Alla E. Bazhenova
VNIIKP is a branch of the V.M. Gorbatov Federal Research Center for Food Systems of the Russian Academy of Sciences
Russian Federation


References

1. Aksenova, L.M., Skokan, L.E., Kondratiev, N.B., & Nechaev, A.P. (2002). Investigation of changes in the quality of biscuits by the method of "accelerated aging". Storage and processing of agricultural raw materials, 2002, 4, 6-8.

2. Demidova, I.B., Lovachev, L.N. (1982). Composition and changes in the lipid fraction during storage of sodium caseinates. News of universities. Food Technology, 1, 36-39.

3. Dmitrichenko, M.I., Zaporozhets, A.I., & Ugolev, D.A. (1987). Quantitative assessment of animal oil during storage. News of universities. Food Technology, 1, 112-115.

4. Kondratenko, V.V., Kondratenko, T.Yu., & Chubit, L.Yu. (2006). Conceptual scheme of designing new functional food products. Polythematic network electronic Scientific Journal of Kuban State Agrarian University, 17, 62-71.

5. Kondratiev, N.B., Rudenko, O.S., Krylova, E.N., Osipov, M.V., & Svyatoslavova, I.M. (2018). The influence of technological factors on the safety of vitamins in confectionery. Bulletin of the Ural State University, 6, 3, 49-56. https://doi.org/10.14529/food180306

6. Kondratiev, N.B., Osipov, M.V., Belova, I.A., & Savenkova, T.V. (2018). The study of the vitamin content in confectionery products in order to ensure their safety. Scientific works of SKFNTSSVV, 20, 191-195.

7. Kondratiev, N.B., Linovskaya, N.V., Parashina, F.I., Rudenko, O.S., & Savenkova, T.V. (2018). Features of the preservation of vitamins in chocolate. Bulletin of the Murmansk State Technical University, 21, 3, 481-487. https://doi.org/10.21443/1560-9278-2018-21-3-481-487

8. Kondratiev, N.B. (2002). Development of methods for predicting the quality of confectionery products with low humidity by indicators of oxidative fat spoilage [PhD thesis, Moscow State University of Food Production]. Moscow, Russia.

9. Kondratiev, N.B., Kazantsev, E.V., Osipov, M.V., Petrova, N.A., & Rudenko O.S. (2019). Investigation of the moisture transfer process in raw gingerbread cakes with fruit filling made using various types of modified starch. Storage and processing of agricultural raw materials, 4, 35-46. https://doi.org/10.36107/spfp.2019.187 .

10. Kondratiev, N.B., & Osipov M.V. (2009). The most important aspects of the formation of the composition and shelf life of chocolate. Confectionery products of the XXI century: Proceedings of the seventh International Conference (pp. 113-114). M: MPA.

11. Myagkonosov, D.S., Smykov, I.T., Abramov, D.V., Delitskaya, I.N., & Ovchinnikova, E.G. (2021). The effect of milk-converting enzymes of animal and microbial origin on the quality and shelf life of soft cheeses. Food Systems, 4(4), 286-293. https://doi.org/10.21323/2618-9771-2021-4-4-286-293

12. Rudenko, O.S., Parashina, F.I., Petrova, N.A., Yuzhakova, K.V., & Savenkova, T.V. (2018). Changes in the content of vitamins in the production and storage of flour confectionery products. Food Industry, 12, 46-48.

13. Osipov, M.V. (2011). Development of chocolate technology based on the improvement of its quality assessment system [PhD thesis, Moscow State University of Food Production]. Moscow, Russia.

14. Osipov, M.V., Kondratiev, N.B., Rudenko, O.S., & Aksenova, L.M. (2010). The effect of the mass fraction of the total dry residue of cocoa products on the shelf life of chocolate. Reports of the Russian Academy of Agricultural Sciences, 5, 47-48.

15. Rudenko, O.S. (2018). The development of confectionery technology using fruit raw materials based on the improvement of the quality assessment system [PhD thesis, Moscow State University of Food Production]. Moscow, Russia.

16. Sevostyanova, E.M., & Danilyan, A.V. (2018). Review of the methods of "accelerated aging" to justify the shelf life of products of the non-alcoholic industry. Beer and Drinks, 3, 56-59.

17. Silenina, S. (2019). Trends of the Russian confectionery market. Confectionery and bakery production, 5-6, 14-16.

18. Skokan, L.E., Kondratiev, N.B., Degtyareva, N.A., Aksenova, L.M., & Nechaev, A.P. (2001). Investigation of lipid oxidation processes in biscuit samples during long-term storage. Confectionery production, 1, 40-41.

19. Skokan, L.E., Kondratiev, N.B., Knopova, S.I., Funtikova, N.S., Minchuk, N.O., Aksenova, L.M., & Nechaev, A.P. (2001). The study of the composition of biscuits to justify the preservation of their quality. Storage and processing of agricultural raw materials, 7, 38-40.

20. Stele, R. (2008). Shelf life of food products: Calculation and testing (V. Shirokova, Trans.) Profession.

21. Tkeshelashvili, M.E. (2017). Chocolate and chocolate glaze, resistant to "graying". Confectionery production, 4, 27-29.

22. Sharafeddinova, A.A. (2000). Oxidative and hydrolytic processes occurring in praline candies with cocoa substitutes. Storage and processing of agricultural raw materials, 12, 37.

23. Ancheta, A.K.G., Yaptenco, K.F., Mopera, L.E., Bainto, L.C., Lizardo, R.C.M., & Dizon, E.I. (2020). Accelerated shelf-life test (ASLT) of batuan [Garcinia binucao (Blanco) Choisy] fruit powder. Food Research, 4 (4), 1254 – 1264. https://doi.org/10.26656/fr.2017.4(4).018

24. Andrewes, P. (2022). Predicting the shelf-life of microbially-stabilised dairy products: what are the roles of stability studies, storage trials, ‘accelerated’ trials, and dairy science. International Dairy Journal, 125, 105239. https://doi.org/10.1016/j.idairyj.2021.105239

25. Barden, L., Decker, E.A. (2013). Lipid oxidation in low-moisture food: A review. Critical reviews in food science and nutrition, 56, 2467–2482. https://doi.org/10.1080/10408398.2013.848833.

26. Cartier, P. (2009). Accelerated Shelf-lifeTesting. Accelerated testing will confirm the performance of a product from production to the consumer. The Manufacturing Confectioner, 53.

27. Caruso, M.C., Galgano, F., Colangelo, M.A., Condelli, N., Scarpa, T., Tolve, R., Favati, F. (2017). Evaluation of the oxidative stability of bakery products by OXITEST method and sensory analysis. European food research & technology, 243 (7), 1183–1191. https://doi.org/10.1007/s00217-016-2831-9

28. Chathuri, S.M., Harshani Algama, C., Wimalasekara, R.L., Weerakoon, W.N.M.T.D.N., Jayathilaka, N., Seneviratne, K.N. (2019). Improvement of Oxidative Stability and Microbial Shelf Life of Vanilla Cake by Coconut Oil Meal and Sesame Oil Meal Phenolic Extracts. Journal of Food Quality, 1263629. https://doi.org/10.1155/2019/1263629

29. Choosuk, N., Meesuk, P., Renumarn, P., Phungamngoen, C., & Jakkranuhwat, N. (2022). Kinetic Modeling of Quality Changes and Shelf Life Prediction of Dried Coconut Chips. Processes, 10, 1392. https://doi.org/10.3390/pr10071392

30. Conte, L., Milani, A., Calligaris, S., Rovellini, P., Lucci, P., & Nicoli, M.C. (2020). Temperature dependence of oxidation kinetics of extra virgin olive oil (EVOO) and shelf-life prediction. Foods, 9, 295. https://doi.org/10.3390/foods9030295

31. Corradini, M.G. (2018). Shelf Life of Food Products: From Open Labeling to Real-Time Measurements. Annual review of food science and technology. https://doi.org/10.1146/annurev-food-030117-012433

32. Ekafitri, R., Kurniawan, Y.R., Desnilasari, D., Surahman, D.N., & Indriati, A. (2021). Shelf-life assessment of energy banana bar using acceleration method with critical moisture content approach. Food Science and Technology, 41(1), 163-168. https://doi.org/10.1590/fst.13120.

33. Etsehiwot, G., Hall, C. (2016) Oxidative Stability and Shelf Life of Foods Containing Oils and Fats (Ed.), Oxidative Stability and Shelf Life of Crackers, Cookies, and Biscuits Department of Plant Sciences (pp. 461-478). Academic Press и AOCS Press. https://doi.org/10.1016/B978-1-63067-056-6.00012-4

34. Flavio, E., Spanemberg, M., Korzenowski, A., Sellitto, M. A. (2019). Effects of sugar composition on shelf life of hard candy: Optimization study using D-optimal mixture design of experiments. Journal of Food Process Engineering, 42 (6). https://doi.org/10.1111/jfpe.13213

35. Hidayati, S., Sartika, D., Sutoyo, S., & Fudholi, А. (2022). Predict the Shelf Life of Instant colate in Vacuum Packing by Using Accelerated Shelf Life Test (ASLT). Mathematical Modelling of Engineering Problems, 9(2), 443-450. https://doi.org/10.18280/mmep.090220

36. Hong-xin, J., Wen-Liang C., Xiao-Yan, Q., & Mi-Ya, Su. (2019). The stability of milk-based infant formulas during accelerated storage. CyTA - Journal of Food, 17(1), 960104. https://doi.org/10.1080/19476337.2018.1561519

37. Labuza, T.P., Riboh, D. (1982). Theory and application of arrhenius kinetics to the predication of nutrient losses in foods. Food technol, 36 (10), 66-74.

38. Jianga Y., Yang, X., Jin, H., Feng, X., Tian, F., Song, Y., Ren, Y., Man, C., & Zhang, W. (2021) Shelf-life prediction and chemical characteristics analysis of milk formula during storage. LWT, 144, 111268. https://doi.org/10.1016/j.lwt.2021.111268

39. Khathir R., Yuliana, R., & Putra, B.S. (2019). The Shelf-life Prediction of Sweet Orange Based on Its Total Soluble Solid by Using Arrhenius and Q 10 Approach. IOP Conference Series: Materials Science and Engineering 506, 012058 doi:10.1088/1757-899X/506/1/012058

40. Kozłowska, M., Zbikowska, A., Szpicer, A., & Półtorak, A. (2019). Oxidative stability of lipid fractions of sponge-fat cakes after green tea extracts application. Journal of Food Science and Technology, 56(55), 2628–2638. https://doi.org/10.1007/s13197-019-03750-5

41. Labuza, T.P., & Hartel, R.W. (2013). Shelf Life of Confectionery Products. The Manufacturing Confectioner, 55.

42. Labuza, T. P., & Riboh, D. (1982). Theory and application of arrhenius kinetics to the predication of nutrient losses in foods. Food Technology, 36(10), 66-74.

43. Li Y., Ding, S., Wang, Y. (2022). Shelf life predictive model for postharvest shiitake mushrooms. Journal of Food Engineering, 330, 111099. https://doi.org/10.1016/j.jfoodeng.2022.111099

44. Clodoveo, M.L., Muraglia, M., Fino, V., Curci, F., Fracchiolla, G., Rina Corbo, F.F. (2021). Overview on Innovative Packaging Methods Aimed to Increase the Shelf-Life of Cook-Chill Foods. Foods, 10(9), 2086. https://doi.org/10.3390/foods10092086

45. Manzocco, L. (2020). Modeling the Effect of the Oxidation Status of the Ingredient Oil on Stability and Shelf Life of Low-Moisture Bakery Products: The Case Study of Crackers. Foods, 9 (6), 749. https://doi.org/10.3390/foods9060749

46. Moschopoulou, E., Moatsou, G., Syrokou, M. K., Paramithiotis, S., & Drosinos, E. H. (2019). Food Quality and Shelf Life (Ed.), Food quality changes during shelf life (pp. 1-13). Academic Press. http://dx.doi.org/10.1016/B978-0

47. Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Altman, D., & Antes, G. (2009). Preferred reporting items for systematic reviews and meta-analyses. Plos Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097

48. Nurhayati, R., Pratiwi, R., Anandito, R.B.K., Novita Herawati, E.R., Angwar, M. (2018). Accelerated Shelf Life Testing of Chocomix Using Critical Moisture Content Approach. Reaktor, 18(2), 63-70.

49. Plotnikova, I.V., Zharkova, I.M., Magomedov, G.O., Magomedov, M.G., Khvostov, A.A., & Miroshnichenko, E.N. (2021). Forecasting and quality control of confectionery products with the use of “water activity” indicator. IOP Conference Series: Earth and Environmental Science, 640, 062003. https://doi.org/10.1088/1755-1315/640/6/062003

50. Prabhakar, H., Bock, C.H., Kerr, W.L., & Kong, F. (2022). Pecan color change during storage: Kinetics and Modeling of the Processes. Current Research in Food Science, 5, 261-271. https://doi.org/10.1016/j.crfs.2022.01.015

51. Pulungan, M.H., Sukmana, A.D., & Dewi, I.A. (2018). Shelf life prediction of apple brownies using accelerated method. IOP Conf. Series: Earth and Environmental Science. 131, 012019 https://doi.org/10.1088/1755-1315/131/1/012019

52. Rahman, T., Sulaiman, N.F., Turmala, E., Andriansyah, R.C.E., Luthfiyanti, R., & Triyono, A. (2019). Shelflife prediction of biscuits prepared from modified suweg (Amorphophallus campanulatus B) flour using Arrhenius model. IOP Conf. Series: Earth and Environmental Science 251, 012035, 1-9. https://doi.org/10.1088/1755-1315/251/1/012035

53. Renumarn P., & Choosuk N. (2020). Influence of Packaging and Storage Conditions on the Quality and Shelf-life of Chewy Santol (Kraton-Yee) Candies. Department of Innovation and Product Development Technology, Faculty of Agro-Industry, King Mongkut’s University of Technology North Bangkok, Thailand. Web of Conferences 141, 02002 https://doi.org/10.1051/e3sconf/202014102002

54. Roduit, B., Albert Luyet, C., Hartmann, M., Folly, P., Sarbach, A., Dejeaifve, A., Dobson, R., Schroeter, N., Vorlet, O., Dabros, M., Baltensperger. R. (2019). Continuous Monitoring of Shelf Lives of Materials by Application of Data Loggers with Implemented Kinetic Parameters. Molecules, 24, 221. https://doi.org/10.3390/molecules24122217

55. Man, C., & Jones, A.A. (1994). Shelf Life Evaluation of Foods. Edited Springer Science Busness Medis. https://doi.org/10.1007/978-1-4615-2095-5

56. Soro A.B., Noore, S., Hannon, S., Whyte, P., Bolton, D.J., O’Donnell, C., Tiwari, B.K. (2021). Current sustainable solutions for extending the shelf life of meat and marine products in the packaging process. Food Packaging and Shelf Life, 29, 100722. https://doi.org/10.1016/j.fpsl.2021.100722

57. Spanemberg, F.E.M., Sellitto, M.A., Porto, L.M., Cruz dos Santos, A., & Lemos Souza, Á.C. (2022). Shelf life estimation of glassy confections using moisture sorption isotherms. Journal of Food Process Engineering, 45 (5), e14024. https://doi.org/10.1111/jfpe.14024

58. Spanemberg, F.E.M., Korzenowski, A.L., & Sellitto, M.A. (2019). Effects of sugar composition on shelf life of hard candy: Optimization study using D-optimal mixture design of experiments. Journal of Food Process Engineering, 45(5), e13213. https://doi.org/10.1111/jfpe.13213

59. Subramaniam, P. (2007). Determining Shelf Life of Confectionery Products. The Manufacturing Confectioner, 85.

60. Subramaniam, P.J. (2009). Science and Technology of Enrobed and Filled Chocolate, Confectionery and Bakery Products. Shelf-life prediction and testing (pp. 233–254). doi:10.1533/9781845696436.2.233

61. Taormina, P.J., Hardin, M.D. (2021). Food Safety and Quality-Based Shelf-life of Perishable Foods, Springer.

62. Torrieri, E. (2016). Storage Stability: Shelf Life Testing. Encyclopedia of Food and Health, 188-192. https://doi.org/10.1016/B978-0-12-384947-2.00666-8

63. Wang, W., Hu, W., Ding, T., Ye, X., & Liu, D. (2018). Shelf-life prediction of strawberry at different temperatures during storage using kinetic analysis and model development. Journal of Food Processing and preservation, 42(8), e13693. https://doi.org/10.1111/jfpp.13693

64. Xu, Y., Lu, L. (2022). The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods. Food Science and Technology, 42, e32722. https://doi.org/10.1590/fst.32722

65. Zbikowska, A., Kozlowska, M., Poltorak, A., Kowalska, M., Rutkowska, J., Kupiec, M. (2018). Effect of addition of plant extracts on the durability and sensory properties of oat flake cookies. Journal of Thermal Analysis and Calorimetry, 2 (134), 1101-1111. https://doi.org/10.1007/s10973-018-7301

66. Zhang, W., Luo, Z., Wang, A., Gu, X., & Lv, Z. (2021). Kinetic models applied to quality change and shelf life prediction of kiwifruits. LWT, 138, 110610. https://doi.org/10.1016/j.lwt.2020.110610

67. Zhao, S., Han, X., Liu, B., Wang, S., Guan, W., Wu, Z., & Theodorakis P.E. (2022). Shelf-life prediction model of fresh-cut potato at different storage temperatures. Journal of Food Engineering, 317, 110867. https://doi.org/10.1016/j.jfoodeng.2021.110867


Review

For citations:


Kondratiev N.B., Rudenko O.S., Osipov M.V., Bazhenova A.E. Forecasting the Shelf Life of Confectionery Products under Accelerated Storage Conditions: Scoping Review. Storage and Processing of Farm Products. 2022;(4). (In Russ.) https://doi.org/10.36107/spfp.2022.354

Views: 1085


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2072-9669 (Print)
ISSN 2658-767X (Online)