ISSN 2074-9414 (Print),
ISSN 2313-1748 (Online)

Development of New Mash Filters for Craft Beer Brewing

Abstract
Introduction. New innovative technologies make food industry more effective. The present paper introduces a new method of hopped wort production based on novel mash filters.
Study objects and methods. The research featured two new designs of mash filters. The study of the mashing process involved malt, hops, drinking water, and beer wort. The research included generally accepted methods of physicochemical and sensory research.
Results and discussion. Both models differed from the traditional design. Mash filter I had a cylindrical filtration vat at its bottom with filters in the lower and upper parts of the vat. A pump was installed on the outer side of the steam jacket to produce forced circulation of the liquid medium flow through the vat. The steam jacket was covered with Corundum Classic superfine liquid thermal insulation. Mash filter II had a filtration bottom made of perforated sheet and provided intensive liquid circulation. It also had a regulated mixer that moved the mash, which significantly improved the mashing process. After the mashing, the mash passed through the filtration bottom, separating the liquid phase from the solid phase. The crushed material was discharged through a hatch in bottom. The physicochemical and sensory profiles of the obtained beer wort and beer samples complied with State Standard 30060-93 “Beer. Methods for determination of organoleptic indices and product’s volume”. Mash filter II produced beer wort of higher quality and improved the sensory properties of the finished product. This model proved more effective in extracting proteins and digestible sugars during amylolysis due to a better mixing and circulation of liquid medium flow during the wort preparation.
Conclusion. The new modified mash filter made it possible to reduce the brewing time by 28.6%. Not only was it more user friendly, but it also was less heat and electricity consuming. In addition, it reduced the production area as it combined the stages of mashing and filtering.
Keywords
Alcoholic drinks, beer, beer wort, mashing, filtration, sensory profile
REFERENCES
  1. Popova NV, Potoroko IYu. Contemporary approaches to the possibility of intensifying the process of beer wort mashing. Patent analysis. Bulletin of the South Ural State University. Series: Food and Biotechnology. 2018;6(3):12–21. (In Russ.). https://doi.org/10.14529/food180302.
  2. Kudryashov VL, Presnyakova OP. The role of baromembrane processes in the production of crafted food products. Food Industry. 2017;(6):44–48. (In Russ.).
  3. Khugaeva RI, Bigaeva MT. Innovatsionnye tekhnologii proizvodstva piva – kak faktor povysheniya konkurentosposobnosti (na primere OOO VPBZ “Darʹyal” g. Vladikavkaz RSO-Alaniya) [Innovative technologies of beer production - as a factor of increasing competitiveness (on the example of LLC VPBZ “Daryal” Vladikavkaz RSO-Alania)]. Aktualʹnye problemy ustoychivogo razvitiya regionalʹnogo APK: materialy nauchno-prakticheskoy konferentsii studentov, aspirantov, magistrantov i sotrudnikov kafedry “Organizatsiya proizvodstva i predprinimatelʹstva v APK” [Actual problems of sustainable development of the regional agro-industrial complex: materials of the scientific-practical conference of students, graduate students, undergraduates and employees of the department “Organization of production and entrepreneurship in the agro-industrial complex”]; 2016; Vladikavkaz. Vladikavkaz: Gorsky State Agrarian University; 2016. p. 128–136. (In Russ.).
  4. Viejo CG, Fuentes S, Torrico D, Howell K, Dunshea FR. Assessment of beer quality based on foamability and chemical composition using computer vision algorithms, near infrared spectroscopy and machine learning algorithms. Journal of the Science of Food and Agriculture. 2018;98(2):618–627. https://doi.org/10.1002/jsfa.8506.
  5. Viejo CG, Fuentes S, Howell K, Torrico D, Dunshea FR. Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications. Food Control. 2018;92:72–79. https://doi.org/10.1016/j.foodcont.2018.04.037.
  6. Viejo CG, Fuentes S, Torrico DD, Howell K, Dunshea FR. Assessment of beer quality based on a robotic pourer, computer vision, and machine learning algorithms using commercial beers. Food Science. 2018;83(5):1381–1388. https://doi.org/10.1111/1750-3841.14114.
  7. Borodulin DM, Ivanets VN, Safonova EA, Prosin MV, Milenkiy IO, Noskova VV. Intensification of beer wort hopping with the use of rotary pulsation apparatus. Processes and Food Production Equipment. 2017;(4):3–12. (In Russ.). https://doi.org/10.17586/2310-1164-2017-10-4-3-12.
  8. Petrov SM, Filatov SL, Shurbovaniy VN, Shibanov VM, Zakharov EV, Grigoriev AI, et al. Industrial applications of modern mash filter press to improve the quality of kvass wort on “Bouquet of Chuvashia”. Beer and beverages. 2013;(4):32–35. (In Russ.).
  9. Albanese L, Ciriminna R, Meneguzzo F, Pagliaro M. Beer-brewing powered by controlled hydrodynamic cavitation: Theory and real-scale experiments. Journal of Cleaner Production. 2017;142(4):1457–1470. https://doi.org/10.1016/j.jclepro.2016.11.162.
  10. Albanese L, Ciriminna R, Meneguzzo F, Pagliaro M. Gluten reduction in beer by hydrodynamic cavitation assisted brewing of barley malts. LWT – Food Science and Technology. 2017;82:342–353. https://doi.org/10.1016/j.lwt.2017.04.060.
  11. Ciriminna R, Albanese L, Di Stefano V, Delisi R, Avellone G, Meneguzzo F, et al. Beer produced via hydrodynamic cavitation retains higher amounts of xanthohumol and other hops prenylflavonoids. LWT – Food Science and Technology. 2018;91:160–167. https://doi.org/10.1016/j.lwt.2018.01.037.
  12. Tretyak LN. Prospects of development of production technologies of beer with desired flavoring properties and low toxicity characteristics. Fundamental research. 2014;(9–9):1951–1958. (In Russ.).
  13. Davadov FD, Gernet MV, Gribkova IN, Borisenko OA, Yankevich SV. Study the ultrasound effect on unpasteurized beer quality. XXI Century: Resumes of the Past and Challenges of the Present Plus. 2019;8(2)(46):136–139. (In Russ.).
  14. Motorzhin VV, Yakovlev VV. Tendencies of development of market crafting beer in Russia. Marketing i marketingovye issledovania. 2016;(3):218–222. (In Russ.).
  15. Tarasov RV, Markov IV. Development of company strategy through the analysis of consumer needs in the Russian market of craft beer. Science and Business: Ways of Development. 2019;93(3):215–218. (In Russ.).
  16. Ketova NP, Zheleznyakova MS. Situation marketing analysis of Russian beer market: evaluation development trends, possibility of positioning of companies in regions. Journal of Economy and entrepreneurship. 2016;75(10–1):180–191. (In Russ.).
  17. Donadini G, Porretta S. Uncovering patterns of consumers’ interest for beer: A case study with craft beers. Food Research International. 2017;91:183–198. https://doi.org/10.1016/j.foodres.2016.11.043.
  18. Van Dijk, M, Kroezen J, Slob B. From pilsner desert to craft beer oasis: The rise of craft brewing in the Netherlands. In: Garavaglia C, Swinnen J, editors. Economic perspectives on craft beer. Cham: Palgrave Macmillan; 2018. pp. 259–293. https://doi.org/10.1007/978-3-319-58235-1_10.
  19. Pomozova VA, Potapov AN, Potitina US, Prosin MV. Mashing process improvement for beer production. Bulletin of KSAU. 2012;75(12):191–196. (In Russ.).
  20. Prosekov A, Babich O, Kriger O, Ivanova S, Pavsky V, Sukhikh S, et al. Functional properties of the enzyme-modified protein from oat bran. Food Bioscience. 2018;24:46–49. https://doi.org/10.1016/j.fbio.2018.05.003.
  21. Shalev AV, Borodulin DM, Safonova EA, Sidorin KM, Kostina VV. Mashing wort filtering device. Russia patent RU 2713107C1. 2020.
How to quote?
Borodulin DM, Shalev AV, Safonova EA, Prosin MV, Golovacheva YaS, Vagaytseva EA. Development of New Mash Filters for Craft Beer Brewing. Food Processing: Techniques and Technology. 2020;50(4):630–641. (In Russ.). https://doi. org/10.21603/2074-9414-2020-4-630-641.
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