Box-Behnken Experimental Design for Optimization of Biomass and Ethanol Yield in Saccharomyces Cerevisiae

Document Type : Research Article (Original Research)

Authors

1 Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technology Applications, Alexandria, Egypt.

2 Natural & Microbial Products Dept., NRC, Dokki, Cairo, Egypt.

3 Institut für Mikrobiologie, Uni-Hannover, Schneiderberg 50, 30167 Hannover, Germany

Abstract

Recognizing the importance of enhancing yield in industrial fermentation processes, we aimed to optimize biomass and ethanol yields in  Saccharomyces Cerevisiae using Box-Behnken experimental design, a response surface methodology (RSM) approach. Traditional optimization through the one-variable-at-a-time (OVAT) approach is labor-intensive and often fails to achieve optimal outcomes due to unaccounted interactions between variables. Our study employed a statistically designed RSM approach to evaluate the effects of medium variables interactions for more efficient pathway for industrial enhancement. S. cerevisiae strain K88 (CEN.PK122) was used this study for ethanol production due to its and recognized industrial applications. The medium variables were yeast extract, ammonium sulphate, and yeast nitrogen base supplemented with the amino acids: histidine, methionine and tryptophan. Statistical analysis revealed that YNB and amino acid concentrations enforces biomass production and facilitates ethanol production through increased nitrogen uptake. The optimized biomass yield achieved was increased by 16% (to 0.59 g/g) , while the ethanol yield was much highly increased by 40% (to 0.42 g/g) over the basal medium. Optimal yield was attained at the following concentrations: yeast (9.4 g/L) extract, of ammonium sulfate (3.7 g/L) and of YNB (5.1 g/L) with amino acids. Surface plots represent the optimal amount for each variable in medium formulation. This study highlights the efficiency of Box-Behnken design in complex fermentation systems for industrial bioprocess applications.

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Copyright: © [2024] Abdel-fattah  et al . This article is distributed under the terms of the Creative Commons Attribution 4.0 International License

(http://creativecommons.org/licenses/by/4.0/),

which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Future Perspectives of Medical, Pharmaceutical and Environmental Biotechnology
Volume 1, Issue 3
October 2024
Pages 9-14

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