About the issue
Publications
2026
2025
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
Partners
2024 (published: 21.03.2024)
Number 1(59)
Home
>
Issue
>
Prediction of values of molecular diffusion coefficients for oxygen into aqueous solutions of nutrients for biotechnological productions
Alexander G. Novoselov, Chebotar A.V., Igor V. Baranov, Duzhij A.B., Sorokin S.A.
Keywords: diffusion; molecular diffusion coefficient; sucrose; molasses aqueous solution; dry matter concentration
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
Prediction of values of molecular diffusion coefficients for oxygen into aqueous solutions of nutrients for biotechnological productions
The article is devoted to the study of molecular mass transfer in the system oxygen–aqueous solutions of beet molasses in order to obtain the possibility of predicting the molecular diffusion coefficients (MDC) of this system when carrying out mass transfer calculations of the process of cultivation of microorganisms in biotechnological production. An algorithm for calculating the CMD based on a semi-empirical approach using the Wilk method is proposed. Justification in favor of its application is given. As a result of the study the numerical values of CMD of the studied system were determined for temperatures 293 K; 298 K; 303 K; 313 K; 323 K and dry matter concentrations in the range from 0 wt% to 77.7 wt%. The obtained results allowed predicting the type of the trend line curve, which in the investigated ranges represents an exponential dependence. This will allow specialists related to mass-exchange processes in the field of microorganisms cultivation to apply a science-based approach to the design of modern designs of mass-exchange apparatuses and the selection of optimal modes of their operation.
Read the full article
Read the full article
Keywords: diffusion; molecular diffusion coefficient; sucrose; molasses aqueous solution; dry matter concentration
DOI 10.17586/2310-1164-2024-17-1-14-24
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License