Дата поступления: 
11.05.2022
Библиографическое описание статьи: 

Balman O.S., Chakeeva K.S. Automation of the flour milling process: review analysis // Informacionnye tehnologii i matematicheskoe modelirovanie v upravlenii slozhnymi sistemami: ehlektronnyj nauchnyj zhurnal [Information technology and mathematical modeling in the management of complex systems: electronic scientific journal], 2022. No. 2(14). P. 77-83. DOI: 10.26731/2658-3704.2022.2(14).77-83 [Accessed 01/07/22]

Год: 
2022
Номер журнала (Том): 
УДК: 
681.3
DOI: 

10.26731/2658-3704.2022.2(14).77-83 

Файл статьи: 
Страницы: 
77
83
Аннотация: 

In flour production, the choice of the optimal grinding strategy is an important aspect, since the quality of flour significantly depends on it. Automation plays an important role in the flour production process. Automated systems facilitate flour quality control, which requires fast analytical tools to predict rheological and chemical properties. This article provides an overview analysis of the scientific literature, which considers the automation system for the flour production process. During the study, it was revealed that the automated system plays an important role in flour grinding. The process of grinding flour directly affects the quality of the product, and in the modern world, product quality is one of the important issues. The research is descriptive and based on the analysis of previously published works.

Список цитируемой литературы: 

1. Cappelli A., Oliva N., Cheeney E. Stone crusher versus rolling: a systematic review of the impact on wheat flour quality, dough rheology and bread characteristics // Trends in Food Science & Technology, - 2020, - No. 97, - p. 147–155.

2. Guerrini L., Napoli M., Mancini M., Masella P., Cappelli A., Parent i A. et al. Wheat grain composition, dough rheology and bread quality depending on the application of nitrogen and sulfur fertilizers and sowing density // Agronomy, - 2020, - No. 10 (2), - p. 233.

3. Grassi S., Marty A., Cascella D., Casalino S., and Cascella G.L. Electric Drive Manager for Grinding Process Automation 4.0: An Analytical Process Approach with IIoT NIR Devices for Common Wheat // Sensors, - 2020, - No. 20 (4), - p. 1147. https://doi.org/10.3390/s20041147

4. Marti A., Ulrici A., Foca G., Kvaglia L., Pagani M.A. Characteristics of soft wheat flour (Triticum aestivum L.) using multivariate analysis of conventional rheological parameters and gluten peak indices // LWT-Food Science. Technol. – 2015, - No. 64, - pp. 95-103. doi: 10.1016/j.lwt.2015.05.029

5. Juhas R., Gergeli S., Gelencher T., Salgo A. The relationship between NIR spectra and RVA parameters during wheat germination // Cereal Chem. – 2015, - No.82, - pp. 488-493. doi: 10.1094/CC-82-0488.

6. Ibrahim A. Monitoring of some quality indicators of various wheat varieties using infrared technology // Int. J. Agric. Eng. – 2018, - No. 20, pp. 201-210.

7. Roncolini A., Milanovich V., Aquilanti L., Cardinali F., Garofalo K., Sabbatini R., Foligni R. Powder from small flour worm (Alphitobius diaperinus) as a new baking ingredient for the production of snacks with a high content of protein and minerals // Food Research International, - 2020, - No.131, - p.109.

8. Dorado-Maldonado A. F., Pike O. A., Sveli J., Rose J. Key issues and problems in the grinding and storage of whole grain flour // Journal of Cereal Science, - 2012, - №56 (2), - pp. 119-126.

9. Recchia L., Cappelli A., Cini E., Garbati-Peña F, Boncinelli P. Ecological sustainability of pasta production chains: an integrated approach for comparing local and global chains // Resources, - 2019, - №8 (1), - p. 56.

10. Fendri L. B., Chaari F., Maaloul M., Kalel F., Abdelkafi L., Chaabouni S. E. et al. Enrichment of wheat bread with fibers of pea and bean pods: influence on dough rheology and bread quality // LWT – Food Science and Technology, - 2016, - No. 73, - pp. 584-591.

11. Cocchi M., Corbellini M., Foca G., Lucisano M., Pagani M.A., Tassi L., Ulrici A. Classification of soft wheat flour in various quality categories using a feature selection/classification algorithm based on wavelet on NIR spectra // Anal. Chim. Acta., - 2005; 544: 100–107. doi: 10.1016/j.aca.2005.02.075.

12. Sarker I.M., Yamauchi H., Kim S., Matsuura-Endo K., Takigawa S., et al. Pharynographic study of the characteristics of dough from mixtures of wheat flour and potato starch of different varieties // Research in the field of food sciences and technologies, - 2008, - No. 14, pp. 211-216.

13. Karpov V.I., Novitsky V.O. Methodology of research and modeling of complex control systems for enterprises and companies of the grain sector of the agro-industrial complex. Information technologies. - M.: Publishing house "New technologies", - 2010. - №9.

14. Kapeli A., Mugnaini M., Chini E. Improving the technology of roller grinding using crushing, calibration and grinding systems for flour differentiation // LWT food science and technology, - 2020, - No.133, - p. 110.