Preview

Title in english

Advanced search

Optimization of the drying process of gluten-free pasta from non-traditional flour raw materials: mathematical modeling

https://doi.org/10.32786/2071-9485-2023-04-51

Abstract

In the process of work, the drying temperature of pasta from 50 0C to 60 0C and the drying time from 105 to 110 minutes, during which the drying process of pasta is carried out at optimal humidity values. This model describes the drying process in real form and ensures the convergence of calculations with observations. The model was used to develop a temporary drying protocol for belt conveyor dryers with phased heat supply.

Introduction. The drying procedure is the key to obtaining pasta of a given quality and at a certain price. However, the existing models are mainly intended to describe the drying process in a stationary state.

Materials and methods. The mathematical model of gluten-free pasta drying based on nontraditional raw materials allows us to determine the temperature and humidity gradient curve for tubular pasta.

Results and conclusions. Thus, a mathematical model was built that allowed to set their optimal values in the right amount, the best settings for minimizing the cost of thermal energy while  maintaining good quality of the dried product are with indicators such as the humidity of pasta (wm, %) up to 10, the drying temperature of pasta from 50 0C to 60 0C and the drying time from 105 to 110 minutes, during which the drying process of pasta is carried out at optimal humidity values. This model describes the drying process in real form and ensures the convergence of calculations with observations. The model was used to develop a temporary drying protocol for belt conveyor dryers with phased heat supply. The analysis of three-dimensional spatial models shows that in the field of optimal search, the values necessary for the optimality of the optimization criterion are achieved. This means that the degree of change in input factors is taken into account when planning experiments. The following graphs show the optimal ranges of variable values of the drying agent temperature (Ta, oC) and drying time (td, min), at which the pasta drying process is most effective, the humidity values are optimal. The dependences yn=f(Ta, td), given from the variables Ta and td that determine the drying process, allow us to predict with sufficient accuracy the change in the value of wm (%) in the studied range of values. At the same time, it is possible to determine the predominant influence of each factor on the efficiency of drying raw pasta from non-traditional ingredients. This information is then used to approximate the kinetics of the technological process in the drying device. Adjustment and optimization of a variety of parameters in the production of pasta led to optimal values of these parameters in the required amount: pasta humidity (wt.%) from 10 to 15, drying temperature from 500C to 600C and drying time from 105 minutes to 110 minutes.

About the Authors

A. I. Kabylda
Astana Branch of Kazakh Research Institute of Processing and Food Industry LLP
Kazakhstan

Kabylda Anar Idashovna, Candidate of Agricultural Sciences, Project Manager

Kazakhstan, 010000, Astana, Al-Farabi, 47



A. S. Kazhybekova
Astana Branch of Kazakh Research Institute of Processing and Food Industry LLP
Kazakhstan

Kazhybekova Aydana Saniyazovna, 1st year master's student, researcher

Kazakhstan, 010000, Astana, Al-Farabi, 47



Zh. Z. Urazbaev
Astana Branch of Kazakh Research Institute of Processing and Food Industry LLP
Kazakhstan

Urazbaev Zhumatai Zeinollaevich, Doctor of Engineering Sciences, Director

Kazakhstan, 010000, Astana, Al-Farabi, 47



N. M. Kerimbekova
Astana Branch of Kazakh Research Institute of Processing and Food Industry LLP
Kazakhstan

Kerimbekova Nurai Murathanovna, 1st year master's student, researcher

Kazakhstan, 010000, Astana, Al-Farabi, 47



References

1. Collin P., Thorell L., Kaukinen K., Mäki M. The safe threshold for gluten contamination in gluten-free products. Can trace amounts be accepted in the treatment of coeliac disease? Aliment Pharmacol Ther. 2004. No 19 (12). Pp. 1277-1283.

2. Makovicky P., Makovicky P., Caja F., Rimarova K., Samasca G., Vannucci L. Celiac disease and gluten-free diet: past, present, and future. Gastroenterol Hepatol Bed Bench. 2020. No 13 (1). Pp. 1-7.

3. Yoosuf S., Makharia G. K. Evolving Therapy for Celiac Disease. Front Pediatr. 2019. No 7. 193 p.

4. Catassi C., Rätsch I. M., Fabiani E., et al. Coeliac disease in the year 2000: exploring the iceberg. Lancet. 1994. V. 343 (8891). Pp. 200-203.

5. Samasca G., Lerner A., Girbovan A., et al. Challenges in gluten-free diet in coeliac disease: Prague consensus. Clin Invest. 2017. No 47 (5). Pp. 394-397.

6. Kim H. S., Demyen M. F., Mathew J., Kothari N., Feurdean M., Ahlawat S. K. Obesity, Metabolic Syndrome, and Cardiovascular Risk in Gluten-Free Followers Without Celiac Disease in the United States: Results from the National Health and Nutrition Examination Survey 2009-2014. Dig Dis Sci. 2017. No 62 (9). Pp. 2440-2448.

7. Perrin L., Allès B., Buscail C., et al. Gluten-free diet in French adults without coeliac disease: sociodemographic characteristics, motives and dietary profile. Nutr. 2019. No 122 (2). Pp. 231-239.

8. Kabylda A., Sagyntay F., Iztaev Au., Muslimov N. Investigation of the influence of nontraditional raw materials on the rheological properties of dough in the production of gluten-free pasta. The Journal of Hygienic Engineering and Design. 2022. No 40. Pp. 36-40.

9. Makovický P., Chrenková M., Makovický P., et al. The effect of selected feed mixtures on the duodenal morphology: comparison study. Physiol Res. 2018. No 67 (6). Pp. 955-962.

10. Kahraman G., Harsa S., Casiraghi M. C., Lucisano M., Cappa C. Impact of Raw, Roasted and Dehulled Chickpea Flours on Technological and Nutritional Characteristics of Gluten-Free Bread. Foods. 2022. No 11 (2). P. 199.

11. Cappa C., Laureati M., Casiraghi M. C., et al. Effects of Red Rice or Buckwheat Addition on Nutritional, Technological, and Sensory Quality of Potato-Based Pasta. Foods. 2021. No 10 (1). P. 91.

12. Kahraman G., Harsa S., Lucisano M., Cappa C. Physicochemical and rheological properties of rice-based gluten-free blends containing differently treated chickpea flours LWT. 2018. V. 98. Pp. 276-282.

13. Piga A., Conte P., Fois S., et al. Technological, Nutritional and Sensory Properties of an Innovative Gluten-Free Double-Layered Flat Bread Enriched with Amaranth Flour. Foods. 2021. No 10 (5). P. 920.

14. Cannas M., Pulina S., Conte P., et al. Effect of Substitution of Rice Flour with Quinoa Flour on the Chemical-Physical, Nutritional, Volatile and Sensory Parameters of Gluten-Free Ladyfinger Biscuits. Foods. 2020. No 9 (6). P. 808.

15. Conte P., Pulina S., Del Caro A., et al. Gluten-Free Breadsticks Fortified with PhenolicRich Extracts from Olive Leaves and Olive Mill Wastewater. Foods. 2021. V. 10 (5). P. 923.

16. Codex Alimentarius 1981:118 Codex standard for Gluten Free Foods. 1983. Joint FAO/WHO Food Standards Programme. WHO, 198. 3 p.

17. Marti A., Pagani M. A. What can play the role of gluten in gluten free pasta? Trends in Food Science and Technology. 2013. No 31. Pp. 63-71.


Review

For citations:


Kabylda A.I., Kazhybekova A.S., Urazbaev Zh.Z., Kerimbekova N.M. Optimization of the drying process of gluten-free pasta from non-traditional flour raw materials: mathematical modeling. Title in english. 2023;(4 (72)):507-518. (In Russ.) https://doi.org/10.32786/2071-9485-2023-04-51

Views: 36


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


ISSN 2071-9485 (Print)