The article is a research work in the field of processes and apparatuses of biotechnological productions, aimed at a comprehensive study of the processes of transfer of momentum, thermal energy and mass in nutrient media of yeast and brewing industries. The ultimatum of research is to establish the relationship between the transfer coefficients in the relevant physical processes, namely, the coefficients of kinematic viscosity, thermal diffusivity, and molecular diffusion. The rationale for the need to conduct complex experimental studies of one of the most important dynamic characteristics of matter – the density distribution of the matter mass in its volume – is presented. The objects of research were aqueous solutions of beet molasses and beer wort concentrate, mass concentration of soluble solids (DM) being 77.7 and 81% DM respectively. Six aqueous solutions of beet molasses were made with the concentration of DM of 16.2, 32.5, 40.2, 51.9, 60.2, and 69.9% DM. For seven aqueous solutions of beer wort concentrate used in the experiment the concentration of DM was 10.2, 20.6, 30.1, 40.3, 50.1, 59.6, and 72.4% DM. The range of temperature variation was 293K–363K for aqueous solutions of molasses and 283K–353K for aqueous solutions of beer wort concentrate. Measurements of the density of all research objects were carried out using an Excellence D4 Mettler Toledo density meter, the concentration of soluble solids in aqueous solutions was measured using a PTR46 refractometer manufactured by Index Instruments Ltd. As a result of the studies carried out, graphical and mathematical dependences of the density of all studied objects on the SW concentration and temperature were obtained. Comparison of the numerical values for the density of molasses aqueous solutions and beer wort concentrate, with comparable values of the content of solids in them and temperatures, showed a complete match. This made it possible to identify aqueous solutions of molasses and beer wort concentrate, despite the fact that both of these products are produced from different feed stocks: molasses is a waste product of sugar production, and beer wort is a semi-finished product in the process of obtaining beer products from grain raw materials. The only original parameter differentiating one type of analysis from another is mass concentration of soluble solids. As the parameter corresponds to technological properties more than physical ones, we had to determine the values of density over a wide range of solids’ concentrations and temperatures, which are widely used both for hydraulic and for thermal calculations.
The paper presents the results of the study of the adaptive behavioral trait of workers of European dark bees' subspecies. The significance of the study is due to the need to decrease the level of aggression of European dark bees and increase its adaptability. The materials of the paper are aimed at revealing the features of the demonstration of aggression of bees during the active period, the degree of its genotypic determination and the possibility of selection for a decrease. The individual selection of bee colonies was used with evaluation of queens for the quality of offspring, which made it possible to reduce the level of aggression of workers by an average of 32.8% over four generations of selection. The materials of the paper showed a positive correlation between the aggression of workers of European dark bees and their honey-producing capacity. The results of the study serve a useful purpose for beekeeping in the central and northern regions, where European dark bee colonies are located.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.