Optimization of Corn Steep Liquor Dosage and Other Fermentation Parameters for Ethanol Production by Saccharomyces cerevisiae Type 1 and Anchor Instant Yeast

Abiola Ezekiel Taiwo, Tafirenyika Nyamayaro Madzimbamuto and Tunde Victor Ojumu
Additional contact information
Abiola Ezekiel Taiwo: Department of Chemical Engineering, Cape Peninsula University of Technology, Cape Town 8000, South Africa
Tafirenyika Nyamayaro Madzimbamuto: Department of Chemical Engineering, Cape Peninsula University of Technology, Cape Town 8000, South Africa
Tunde Victor Ojumu: Department of Chemical Engineering, Cape Peninsula University of Technology, Cape Town 8000, South Africa

Energies, 2018, vol. 11, issue 7, 1-20

Abstract: Bioethanol production has seen an increasing trend in research recently, with a focus on increasing its economic viability. The aim of this study is to develop a low-cost fermentation medium with a minimum of redundant nutritional supplements, thereby minimizing the costs associated with nutritional supplements and seed production. Corn steep liquor (CSL) in glucose fermentation by Saccharomyces Type 1 (ST1) strain and Anchor Instant Yeast (AIY), which are low-cost media, is used as a replacement for yeast extract (YE). The fermentation process parameters were optimized using artificial neural networks (ANN) and the response surface method (RSM). The study shows that for CSL, maximum average ethanol concentrations of 41.92 and 45.16 g/L, representing 82% and 88% of the theoretical yield, were obtained after 36 h of fermentation in a shake flask for ST1 and AIY, respectively. For YE, ethanol concentrations equivalent to 86% and 88% of theoretical yield were obtained with ST1 and AIY, respectively after 48 h. Although ANN better predicted the responses compared to RSM, optimum conditions were better predicted by RSM. This study shows that corn steep liquor is an inexpensive potential nutrient that may have significant cost implications for commercial ethanol production.

Keywords: artificial neural network (ANN); corn steep liquor (CSL); ethanol; fermentation; optimization; yeast extract; response surface methodology (RSM) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/7/1740/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/7/1740/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:7:p:1740-:d:155926

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().