Determination of the optimal storage zone of functional beverages based on sprouted grain extracts using mathematical models

Authors

  • Almaz Moldakarimov Almaty Technological University, Research Institute of Food Technologies, Tole bi 100, 050012, Almaty, Republic of Kazakhstan, Tel.: +77476868689
  • Auyelbek Iztayev Almaty Technological University, Research Institute of Food Technologies, Tole bi 100, 050012, Almaty, Republic of Kazakhstan Tel.: +77002162256
  • Nurzhan Muslimov Sh. Murtaza International Taraz Innovation Institute, Sh. Murtaza St. 101A, 080000, Taraz, Republic of Kazakhstan Tel.: +7474868866
  • Madina Yakiyayeva Almaty Technological University, Research Institute of Food Technologies, Tole bi 100, 050012, Almaty, Republic of Kazakhstan Tel.: +77011626749 https://orcid.org/0000-0002-8564-2912
  • Bayan Muldabekova Almaty Technological University, Department of Technology of Bakery Products and Processing Industries, Tole bi Street, 100, 050012, Almaty, Republic of Kazakhstan Tel.: +77777044565
  • Sholpan Tursunbayeva Almaty Technological University, Department of Technology of Bakery Products and Processing Industries, Tole bi 100, 050012, Almaty, Republic of Kazakhstan Tel.: +77011626749
  • Fatima Dikhanbayeva Almaty Technological University, Department of Food Technology, Tole bi 100, 050012, Almaty, Republic of Kazakhstan Tel.: +77477555985 https://orcid.org/0000-0003-4257-3774
  • Saida Shintassova Almaty Technological University, Faculty of Food Technology, Department of Technology of Bakery Products and Processing Industries, Tole bi 100, 050012, Almaty, Republic of Kazakhstam Tel.: +77772160603 https://orcid.org/0000-0001-6269-4675
  • Zhanerke Dyusembaeva Almaty Technological University, Department of Technology of Bakery Products and Processing Industries, Tole bi 100, 050012, Almaty, Republic of Kazakhstan Tel.: +77781890871

DOI:

https://doi.org/10.5219/2028

Keywords:

beverage, mathematical model, storage, shelf life

Abstract

Beverages based on sprouted cereals are an excellent basis for creating new types of functional foods, as they are rich in nutrients. Beverages made from sprouted grains aim to improve daily nutrition, prioritising food safety. The proper storage of these drinks depends on the processing techniques used, including chemical preservatives and the conditions under which they are stored. Thus, using a mathematical model, this study aimed to determine the optimal storage zone of functional beverages from sprouted raw materials with preservatives. The results of our study showed that the optimum storage temperature and citric acid content of wheat extract were 2.9% and +11°C; barley 2.4% and 18°C; triticale 2.2% and +11°C; sunflower 2.8% and +14°C; rapeseed 2.7% and +16°C; safflower 2.3% and +17°C; flax 2.6% and +17°C; soya 2.4% and +18°C; pea 2.3% and +18°C; chickpea 2.3% and +18°C, respectively. Overall, these outcomes theoretically support the processing of beverages from sprouted grains. Thus, for practical application, it is recommended to implement controlled storage environments with the recommended temperatures and ensure that citric acid is correctly dosed at the identified optimal levels to enhance the shelf life of beverages.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Majzoobi, M., Wang, Z., Teimouri, S., Pematilleke, N., Brennan, C. S., & Farahnaky, A. (2023). Unlocking the Potential of Sprouted Cereals, Pseudocereals, and Pulses in Combating Malnutrition. In Foods (Vol. 12, Issue 21, p. 3901). MDPI AG. https://doi.org/10.3390/foods12213901 DOI: https://doi.org/10.3390/foods12213901

Maqbool, Z., Khalid, W., Mahum, Khan, A., Azmat, M., Sehrish, A., Zia, S., Koraqi, H., AL‐Farga, A., Aqlan, F., & Khan, K. A. (2023). Cereal sprout‐based food products: Industrial application, novel extraction, consumer acceptance, antioxidant potential, sensory evaluation, and health perspective. In Food Science & Nutrition (Vol. 12, Issue 2, pp. 707–721). Wiley. https://doi.org/10.1002/fsn3.3830 DOI: https://doi.org/10.1002/fsn3.3830

Peñaranda, J. D., Bueno, M., Álvarez, F., Pérez, P. D., & Perezábad, L. (2021). Sprouted grains in product development. Case studies of sprouted wheat for baking flours and fermented beverages. In International Journal of Gastronomy and Food Science (Vol. 25, p. 100375). Elsevier BV. https://doi.org/10.1016/j.ijgfs.2021.100375 DOI: https://doi.org/10.1016/j.ijgfs.2021.100375

Janiak, M. A., Karamać, M., Sulewska, K., Amarowicz, R., Denev, P., & Slavova-Kazakova, A. (2023). Phenolic Profile and Antioxidant Potential of Beverages from Buckwheat and Side Streams after Beverages Production. In Processes (Vol. 11, Issue 11, p. 3205). MDPI AG. https://doi.org/10.3390/pr11113205 DOI: https://doi.org/10.3390/pr11113205

Zenkova, M., Melnikova, L., & Timofeeva, V. (2023). Non-Alcoholic Beverages from Sprouted Buckwheat: Technology and Nutritional Value. In Food Processing: Techniques and Technology (pp. 316–325). Kemerovo State University. https://doi.org/10.21603/2074-9414-2023-2-2435 DOI: https://doi.org/10.21603/2074-9414-2023-2-2435

Patra, M., Bashir, O., Amin, T., Wani, A. W., Shams, R., Chaudhary, K. S., Mirza, A. A., & Manzoor, S. (2023). A comprehensive review on functional beverages from cereal grains-characterization of nutraceutical potential, processing technologies and product types. In Heliyon (Vol. 9, Issue 6, p. e16804). Elsevier BV. https://doi.org/10.1016/j.heliyon.2023.e16804 DOI: https://doi.org/10.1016/j.heliyon.2023.e16804

Mishra, S., Singh, R., Upadhyay, A., Mishra, S., & Shukla, S. (2023). Emerging trends in processing for cereal and legume-based beverages: A review. In Future Foods (Vol. 8, p. 100257). Elsevier BV. https://doi.org/10.1016/j.fufo.2023.100257 DOI: https://doi.org/10.1016/j.fufo.2023.100257

Neelam, M., & Mishra, S. (2018). Effects of Food Additives and Preservatives on Processed Food. In Asian Journal of Science and Applied Technology (Vol. 7, Issue 2, pp. 30–32). Centre for Research and Innovation. https://doi.org/10.51983/ajsat-2018.7.2.1031 DOI: https://doi.org/10.51983/ajsat-2018.7.2.1031

Muslimov, N., Dalabaev, A., Ospanov, A., Sadibaev, A., Moldakarimov, A. (2022a) Changes in the carbohydrate-amylase complex germination of cereal crops. Journal of Hygienic Engineering and Design. (Volume 40, pp. 114-118).

Muslimov, N., Dalabaev, A., Timurbekova, A., Sadibaev, A,. Moldakarimov, A., Spandiyarov, Y. (2022b). Changes in the protein-protease complex of germinated grains of leguminous crops. Journal of Hygienic Engineering and Design. (Volume 40, pp. 132-138).

Muslimov, N., Ospanov, A., Timurbekova, A., Dalabaev, A. (2023). Technology of drinks based on extracts from sprouted grains and seeds: monograph. Astana, p. 175. (In Russian)

Muslimov, N., Kabylda, A., Dalabaev, A. (2022c). Study of the microflora of cereals, legumes and oilseeds during their germination for food purposes. Food Processing Industry (Vol. 8, pp. 42-45). (in Russian). DOI: https://doi.org/10.52653/PPI.2022.8.8.008

Muslimov, N., Ospanov, A., Alzhaxina, N., Dalabayev, A., Tuyakova, A., & Sadibaev, A. (2023). The economic essence of electro-pulse extraction technology in the production of extracts from sprouted grains of cereal crops. In Economic Annals-ХХI (Vol. 201, Issues 1–2, pp. 33–43). Institute of Society Transformation sp. z o.o. https://doi.org/10.21003/ea.v201-04 DOI: https://doi.org/10.21003/ea.V201-04

Methodical Instructions (MUK) 4.2.1847-04 “Sanitary-epidemiological evaluation of justification of shelf life and storage conditions of food products”. (in Russian).

GOST 6687.4-86 “Non-alcoholic beverages. kvass and syrups. Method of acidity determination”. (in Russian).

Marimuthu, S., Saikumar, A., & Badwaik, L. S. (2024). Food losses and wastage within food supply chain: a critical review of its generation, impact, and conversion techniques. In Waste Disposal & Sustainable Energy. Springer Science and Business Media LLC. https://doi.org/10.1007/s42768-024-00200-7 DOI: https://doi.org/10.1007/s42768-024-00200-7

Cui, F., Zheng, S., Wang, D., Tan, X., Li, Q., Li, J., & Li, T. (2023). Recent advances in shelf life prediction models for monitoring food quality. In Comprehensive Reviews in Food Science and Food Safety (Vol. 22, Issue 2, pp. 1257–1284). Wiley. https://doi.org/10.1111/1541-4337.13110 DOI: https://doi.org/10.1111/1541-4337.13110

García, M. R., Ferez-Rubio, J. A., & Vilas, C. (2022). Assessment and Prediction of Fish Freshness Using Mathematical Modelling: A Review. In Foods (Vol. 11, Issue 15, p. 2312). MDPI AG. https://doi.org/10.3390/foods11152312 DOI: https://doi.org/10.3390/foods11152312

BehnamNik, A., & Vazifedoost, M. (2020). Optimizing the functional beverage formulation from the co-crystalized powder of Securigera securidaca seed extract. In Journal of Food Science and Technology (Vol. 57, Issue 7, pp. 2443–2451). Springer Science and Business Media LLC. https://doi.org/10.1007/s13197-020-04279-8 DOI: https://doi.org/10.1007/s13197-020-04279-8

Vara, S., Karnena, M. K., & Dwarapureddi, B. K. (2019). Natural Preservatives for Nonalcoholic Beverages. In Preservatives and Preservation Approaches in Beverages (pp. 179–201). Elsevier. https://doi.org/10.1016/b978-0-12-816685-7.00006-9 DOI: https://doi.org/10.1016/B978-0-12-816685-7.00006-9

Purewal, S. S., Kamboj, R., Sandhu, K. S., Kaur, P., Sharma, K., Kaur, M., Salar, R. K., Punia, S., & Siroha, A. K. (2022). Unraveling the effect of storage duration on antioxidant properties, physicochemical and sensory parameters of ready-to-serve Kinnow-Amla beverages. In Applied Food Research (Vol. 2, Issue 1, p. 100057). Elsevier BV. https://doi.org/10.1016/j.afres.2022.100057 DOI: https://doi.org/10.1016/j.afres.2022.100057

Patra, T., Rinnan, Å., & Olsen, K. (2021). The physical stability of plant-based drinks and the analysis methods thereof. In Food Hydrocolloids (Vol. 118, p. 106770). Elsevier BV. https://doi.org/10.1016/j.foodhyd.2021.106770 DOI: https://doi.org/10.1016/j.foodhyd.2021.106770

Usta-Gorgun, B., Yilmaz-Ersan, L., & Sahin, S. (2022). Optimization of formulation and process conditions of chestnut-based functional beverage using response surface methodology. In Journal of Food Science and Technology (Vol. 59, Issue 8, pp. 3210–3219). Springer Science and Business Media LLC. https://doi.org/10.1007/s13197-022-05475-4 DOI: https://doi.org/10.1007/s13197-022-05475-4

Habib, H., Singh, J., Kumar, A., Amin, T., Bhat, T.A., Aziz, N., & Ercişli, S. (2023). Optimization of Functional Beverage Using Germinated Pseudocereals. In Journal of Food Chemistry & Nanotechnology (Vol. 9). United Scientific Group. https://doi.org/10.17756/jfcn.2023-s1-015 DOI: https://doi.org/10.17756/jfcn.2023-s1-015

Sharma, S., Singh, A., Sharma, S., Kant, A., Sevda, S., Taherzadeh, M. J., & Garlapati, V. K. (2021). Functional foods as a formulation ingredients in beverages: technological advancements and constraints. In Bioengineered (Vol. 12, Issue 2, pp. 11055–11075). Informa UK Limited. https://doi.org/10.1080/21655979.2021.2005992 DOI: https://doi.org/10.1080/21655979.2021.2005992

Worku Kidane, S. (2021). Application of Response Surface Methodology in Food Process Modeling and Optimization. In Response Surface Methodology in Engineering Science. IntechOpen. https://doi.org/10.5772/intechopen.100113 DOI: https://doi.org/10.5772/intechopen.100113

Schreurs, M., Piampongsant, S., Roncoroni, M., Cool, L., Herrera-Malaver, B., Vanderaa, C., Theßeling, F. A., Kreft, Ł., Botzki, A., Malcorps, P., Daenen, L., Wenseleers, T., & Verstrepen, K. J. (2024). Predicting and improving complex beer flavor through machine learning. In Nature Communications (Vol. 15, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41467-024-46346-0 DOI: https://doi.org/10.1038/s41467-024-46346-0

Cueva Ríos, M. A., Fernández Rosillo, F., Quiñones Huatangari, L., & Milagros Cabrejos Barrios, E. (2023). Estimation of coffee shelf life under accelerated storage conditions using mathematical models - Systematic review. In Czech Journal of Food Sciences (Vol. 41, Issue 2, pp. 92–102). Czech Academy of Agricultural Sciences. https://doi.org/10.17221/163/2022-cjfs DOI: https://doi.org/10.17221/163/2022-CJFS

Maselesele, T. L., Molelekoa, T. B. J., Gbashi, S., & Adebo, O. A. (2023). The Optimisation of Bitter Gourd-Grape Beverage Fermentation Using a Consolidated Response Surface Methodology (RSM) and Artificial Neural Network (ANN) Approach. In Plants (Vol. 12, Issue 19, p. 3473). MDPI AG. https://doi.org/10.3390/plants12193473 DOI: https://doi.org/10.3390/plants12193473

Fazeli Burestan, N., Afkari Sayyah, A. H., & Taghinezhad, E. (2020). Mathematical modeling for the prediction of some quality parameters of white rice based on the strength properties of samples using response surface methodology (RSM). In Food Science & Nutrition (Vol. 8, Issue 8, pp. 4134–4144). Wiley. https://doi.org/10.1002/fsn3.1703 DOI: https://doi.org/10.1002/fsn3.1703

de Oliveira, L. C., Balbinoti, T. C. V., Alvarez, D. C., de Matos Jorge, L. M., & Jorge, R. M. M. (2023). Modeling and thermodynamic analysis of the hydration and germination of triticale seeds. In Journal of Cereal Science (Vol. 113, p. 103756). Elsevier BV. https://doi.org/10.1016/j.jcs.2023.103756 DOI: https://doi.org/10.1016/j.jcs.2023.103756

Anukiruthika, T., & Jayas, D. S. (2024). Mathematical modeling for management of stored-grain ecosystems: Approaches, opportunities, and research needs. In Journal of Stored Products Research (Vol. 106, p. 102304). Elsevier BV. https://doi.org/10.1016/j.jspr.2024.102304 DOI: https://doi.org/10.1016/j.jspr.2024.102304

Iztayev, A., Yakiyayeva, M., Kulazhanov, T., Kizatova, M., Maemerov, M., Stankevych, G., Toxanbayeva, B., & Chakanova, Z. (2018). Efficient mathematical models of ion-ozon cavitation treatment for long-term storage of grain legume crops. Acta Technica CSAV (Ceskoslovensk Akademie Ved) (Vol. 63, Issue 1, pp. 1-8).

Sheikhi, A., Mirdehghan, S. H., Arab, M. M., Eftekhari, M., Ahmadi, H., Jamshidi, S., & Gheysarbigi, S. (2020). Novel organic-based postharvest sanitizer formulation using Box Behnken design and mathematical modeling approach: A case study of fresh pistachio storage under modified atmosphere packaging. In Postharvest Biology and Technology (Vol. 160, p. 111047). Elsevier BV. https://doi.org/10.1016/j.postharvbio.2019.111047 DOI: https://doi.org/10.1016/j.postharvbio.2019.111047

Kumar, V., Ahire, J. J., & Taneja, N. K. (2024). Advancing microbial food safety and hazard analysis through predictive mathematical modeling. In The Microbe (Vol. 2, p. 100049). Elsevier BV. https://doi.org/10.1016/j.microb.2024.100049 DOI: https://doi.org/10.1016/j.microb.2024.100049

Lima, R. E., Coradi, P. C., Nunes, M. T., Bellochio, S. D. C., da Silva Timm, N., Nunes, C. F., de Oliveira Carneiro, L., Teodoro, P. E., & Campabadal, C. (2021). Mathematical modeling and multivariate analysis applied earliest soybean harvest associated drying and storage conditions and influences on physicochemical grain quality. In Scientific Reports (Vol. 11, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41598-021-02724-y DOI: https://doi.org/10.1038/s41598-021-02724-y

Rajalakshmi, R., Sujatha, G., Serma Saravana Pandian, A., Rita, N., Perasiriyan, V., Karpoora Sundara Pandian, N. (2022) Application of predictive modeling to assess the shelf life of functional enriched sugarcane juice. In International Journal of Agriculture Sciences (Volume 14, Issue 1, pp. 11049-11051).

Rodríguez-Saavedra, M., Pérez-Revelo, K., Valero, A., Moreno-Arribas, M. V., & González de Llano, D. (2021). A Binary Logistic Regression Model as a Tool to Predict Craft Beer Susceptibility to Microbial Spoilage. In Foods (Vol. 10, Issue 8, p. 1926). MDPI AG. https://doi.org/10.3390/foods10081926 DOI: https://doi.org/10.3390/foods10081926

Jabeen, R., Jan, N., Naseer, B., Sarangi, P. K., Sridhar, K., Dikkala, P. K., Bhaswant, M., Hussain, S. Z., & Inbaraj, B. S. (2024). Development of Germinated-Brown-Rice-Based Novel Functional Beverage Enriched with γ-Aminobutyric Acid: Nutritional and Bio-Functional Characterization. In Foods (Vol. 13, Issue 8, p. 1282). MDPI AG. https://doi.org/10.3390/foods13081282 DOI: https://doi.org/10.3390/foods13081282

Shams Najafabadi, N., Sahari, M. A., Barzegar, M., & Hamidi Esfahani, Z. (2021). Quality characteristics, nutraceutical profile, and storage stability of functional beverage prepared from jujube (Ziziphus jujuba var vulgaris) fruit. In Journal of Food Processing and Preservation (Vol. 45, Issue 4). Hindawi Limited. https://doi.org/10.1111/jfpp.15201 DOI: https://doi.org/10.1111/jfpp.15201

Kokwar, M. A., Arya, S. S., & Bhat, M. S. (2021). A cereal‐based nondairy probiotic functional beverage: An insight into the improvement in quality characteristics, sensory profile, and shelf‐life. In Journal of Food Processing and Preservation (Vol. 46, Issue 1). Hindawi Limited. https://doi.org/10.1111/jfpp.16147 DOI: https://doi.org/10.1111/jfpp.16147

Yu, Z., Guindani, M., Grieco, S. F., Chen, L., Holmes, T. C., & Xu, X. (2022). Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research. In Neuron (Vol. 110, Issue 1, pp. 21–35). Elsevier BV. https://doi.org/10.1016/j.neuron.2021.10.030 DOI: https://doi.org/10.1016/j.neuron.2021.10.030

Sridhar, A., Ponnuchamy, M., Kumar, P. S., & Kapoor, A. (2020). Food preservation techniques and nanotechnology for increased shelf life of fruits, vegetables, beverages and spices: a review. In Environmental Chemistry Letters (Vol. 19, Issue 2, pp. 1715–1735). Springer Science and Business Media LLC. https://doi.org/10.1007/s10311-020-01126-2 DOI: https://doi.org/10.1007/s10311-020-01126-2

Downloads

Published

2024-11-22

How to Cite

Moldakarimov, A., Iztayev, A., Muslimov, N., Yakiyayeva, M., Muldabekova, B., Tursunbayeva, S., Dikhanbayeva, F., Shintassova, S., & Dyusembaeva, Z. (2024). Determination of the optimal storage zone of functional beverages based on sprouted grain extracts using mathematical models. Potravinarstvo Slovak Journal of Food Sciences, 18, 1006–1027. https://doi.org/10.5219/2028

Most read articles by the same author(s)

Similar Articles

You may also start an advanced similarity search for this article.