Modelling and Optimization of Ethanol Production from Cassava (Manihot Esculenta)

Authors

  • Otaraku I. J.  Chemical Engineering Department, University of Port Harcourt, Port Harcourt, Nigeria
  • Oji A.  Chemical Engineering Department, University of Port Harcourt, Port Harcourt, Nigeria
  • Obi C. L.  Chemical Engineering Department, University of Port Harcourt, Port Harcourt, Nigeria

Keywords:

Cassava, Ethanol Production, Microorganism, Fermentation, Starch, Yeast, Optimization.

Abstract

The need for ethanol optimization from locally sourced material like cassava informed the use of cassava samples to produce ethanol. Two sets of micro-organisms were used for cassava fermentation: Yeast (saccharomyces cerevisiae) obtained from fresh palm wine and zymomonasmobis obtained from decaying oranges. A combination of both the yeast and zymomonasmobis was also prepared as a single solution. The organisms were inoculated into the cassava starch substrate to enhance fermentation for six days. The quantities of starch that were fermented ranged from 5g -25g and the highest volume of ethanol produced was 25cm3 when 10g of starch was inoculated with zymomonasmobis. Distillation was used to determine the volume of ethanol that was produced. The densities obtained were compared to the density of standard ethanol and the results obtained agreed with the specification of standard ethanol. Design and model equations for ethanol production optimization were developed and the results obtained correlated with the experimental results.

References

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International Journal of Scientific Research in Chemistry

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Published

2019-01-30

Issue

Volume 4, Issue 1, January-February-2019

Section

Research Articles

License

Copyright (c) IJSRCH

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Otaraku I. J., Oji A., Obi C. L., " Modelling and Optimization of Ethanol Production from Cassava (Manihot Esculenta), International Journal of Scientific Research in Chemistry(IJSRCH), ISSN : 2456-8457, Volume 4, Issue 1, pp.01-06, January-February-2019.