Prediction and analysis of variable parameters of some established models in batch beer fermentation

Abstract

Abstract:In this work, established models of renowned scholars in fermentation technology are analytically solved. Fermentation experiments were also performed on the production of ethanol and biomass from substrate (grain i.e. malted barley) with time and used to validate the analytical solutions of the scholarly models. The result shows that the models were real and true to life as they gave coefficient of correlation of 99.63%. It is also observed that during this fermentation, there was serious interaction between substrate concentration and ethanol concentration, substrate concentration and biomass concentration. From this model, it was found that the yield of ethanol (product) was 79.34%, yield of biomass was 43.8%, initial ethanol before fermentation was 1.45g/lit. Substrate at the beginning, S0= 8.114g/lit. and initial biomass X0 was 0.8098g/lit. This result can be applied in fermentation planning in any brewing company of research centers to predict variation of certain parameters.

Description

The article has figures and tables

Keywords

Models, batch beer fermentation, growth, biomass, yeast, alcohol, Department of Chemical Engineering

Citation

Kamalu, C. I. O., Onuoha, O. E., Uzondu, F. N., Effiong E. E., Obibuenyi, I. J. & Onyelucheya, O. E. (2019). Prediction and analysis of variable parameters of some established models in batch beer fermentation. International Journal of Innovative Research in Technology & Science, 3(6), 11-18

DOI