IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i7p1740-d155926.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Abiola Ezekiel Taiwo & Tafirenyika Nyamayaro Madzimbamuto & Tunde Victor Ojumu, 2018. "Optimization of Corn Steep Liquor Dosage and Other Fermentation Parameters for Ethanol Production by Saccharomyces cerevisiae Type 1 and Anchor Instant Yeast," Energies, MDPI, vol. 11(7), pages 1-20, July.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1740-:d:155926
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/7/1740/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/7/1740/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdi Hanra Sebayang & Masjuki Haji Hassan & Hwai Chyuan Ong & Surya Dharma & Arridina Susan Silitonga & Fitranto Kusumo & Teuku Meurah Indra Mahlia & Aditiya Harjon Bahar, 2017. "Optimization of Reducing Sugar Production from Manihot glaziovii Starch Using Response Surface Methodology," Energies, MDPI, vol. 10(1), pages 1-13, January.
    2. Betiku, Eriola & Taiwo, Abiola Ezekiel, 2015. "Modeling and optimization of bioethanol production from breadfruit starch hydrolyzate vis-à-vis response surface methodology and artificial neural network," Renewable Energy, Elsevier, vol. 74(C), pages 87-94.
    3. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    4. Betiku, Eriola & Omilakin, Oluwasesan Ropo & Ajala, Sheriff Olalekan & Okeleye, Adebisi Aminat & Taiwo, Abiola Ezekiel & Solomon, Bamidele Ogbe, 2014. "Mathematical modeling and process parameters optimization studies by artificial neural network and response surface methodology: A case of non-edible neem (Azadirachta indica) seed oil biodiesel synth," Energy, Elsevier, vol. 72(C), pages 266-273.
    5. Robert Hahn & Caroline Cecot, 2009. "The benefits and costs of ethanol: an evaluation of the government’s analysis," Journal of Regulatory Economics, Springer, vol. 35(3), pages 275-295, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Najafi, Gholamhassan & Ghobadian, Barat & Yusaf, Talal & Safieddin Ardebili, Seyed Mohammad & Mamat, Rizalman, 2015. "Optimization of performance and exhaust emission parameters of a SI (spark ignition) engine with gasoline–ethanol blended fuels using response surface methodology," Energy, Elsevier, vol. 90(P2), pages 1815-1829.
    2. Iftikhar Ahmad & Adil Sana & Manabu Kano & Izzat Iqbal Cheema & Brenno C. Menezes & Junaid Shahzad & Zahid Ullah & Muzammil Khan & Asad Habib, 2021. "Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions," Energies, MDPI, vol. 14(16), pages 1-27, August.
    3. Sahu, Omprakash, 2021. "Appropriateness of rose (Rosa hybrida) for bioethanol conversion with enzymatic hydrolysis: Sustainable development on green fuel production," Energy, Elsevier, vol. 232(C).
    4. Małgorzata Smuga-Kogut & Tomasz Kogut & Roksana Markiewicz & Adam Słowik, 2021. "Use of Machine Learning Methods for Predicting Amount of Bioethanol Obtained from Lignocellulosic Biomass with the Use of Ionic Liquids for Pretreatment," Energies, MDPI, vol. 14(1), pages 1-16, January.
    5. Chohan, Naseeha A. & Aruwajoye, G.S. & Sewsynker-Sukai, Y. & Gueguim Kana, E.B., 2020. "Valorisation of potato peel wastes for bioethanol production using simultaneous saccharification and fermentation: Process optimization and kinetic assessment," Renewable Energy, Elsevier, vol. 146(C), pages 1031-1040.
    6. Anietie O. Etim & Eriola Betiku & Sheriff O. Ajala & Peter J. Olaniyi & Tunde V. Ojumu, 2018. "Potential of Ripe Plantain Fruit Peels as an Ecofriendly Catalyst for Biodiesel Synthesis: Optimization by Artificial Neural Network Integrated with Genetic Algorithm," Sustainability, MDPI, vol. 10(3), pages 1-15, March.
    7. Guo, Wencheng & Yang, Jiandong, 2018. "Dynamic performance analysis of hydro-turbine governing system considering combined effect of downstream surge tank and sloping ceiling tailrace tunnel," Renewable Energy, Elsevier, vol. 129(PA), pages 638-651.
    8. Marina Corral Bobadilla & Roberto Fernández Martínez & Rubén Lostado Lorza & Fátima Somovilla Gómez & Eliseo P. Vergara González, 2018. "Optimizing Biodiesel Production from Waste Cooking Oil Using Genetic Algorithm-Based Support Vector Machines," Energies, MDPI, vol. 11(11), pages 1-19, November.
    9. Sarlaki, Ehsan & Sharif Paghaleh, Ali & Kianmehr, Mohammad Hossein & Asefpour Vakilian, Keyvan, 2021. "Valorization of lignite wastes into humic acids: Process optimization, energy efficiency and structural features analysis," Renewable Energy, Elsevier, vol. 163(C), pages 105-122.
    10. Aghbashlo, Mortaza & Hosseinpour, Soleiman & Tabatabaei, Meisam & Dadak, Ali, 2017. "Fuzzy modeling and optimization of the synthesis of biodiesel from waste cooking oil (WCO) by a low power, high frequency piezo-ultrasonic reactor," Energy, Elsevier, vol. 132(C), pages 65-78.
    11. Arora, Richa & Behera, Shuvashish & Sharma, Nilesh Kumar & Kumar, Sachin, 2017. "Augmentation of ethanol production through statistically designed growth and fermentation medium using novel thermotolerant yeast isolates," Renewable Energy, Elsevier, vol. 109(C), pages 406-421.
    12. Atmanli, Alpaslan & Ileri, Erol & Yilmaz, Nadir, 2016. "Optimization of diesel–butanol–vegetable oil blend ratios based on engine operating parameters," Energy, Elsevier, vol. 96(C), pages 569-580.
    13. Akhabue, Christopher Ehiaguina & Osa-Benedict, Evidence Osayi & Oyedoh, Eghe Amenze & Otoikhian, Shegun Kevin, 2020. "Development of a bio-based bifunctional catalyst for simultaneous esterification and transesterification of neem seed oil: Modeling and optimization studies," Renewable Energy, Elsevier, vol. 152(C), pages 724-735.
    14. Shadbahr, Jalil & Zhang, Yan & Khan, Faisal & Hawboldt, Kelly, 2018. "Multi-objective optimization of simultaneous saccharification and fermentation for cellulosic ethanol production," Renewable Energy, Elsevier, vol. 125(C), pages 100-107.
    15. Sajjadi, Baharak & Raman, Abdul Aziz Abdul & Arandiyan, Hamidreza, 2016. "A comprehensive review on properties of edible and non-edible vegetable oil-based biodiesel: Composition, specifications and prediction models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 62-92.
    16. Shen-Tsu Wang, 2016. "Integrating grey sequencing with the genetic algorithm--immune algorithm to optimise touch panel cover glass polishing process parameter design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4882-4893, August.
    17. Yek, Peter Nai Yuh & Cheng, Yoke Wang & Liew, Rock Keey & Wan Mahari, Wan Adibah & Ong, Hwai Chyuan & Chen, Wei-Hsin & Peng, Wanxi & Park, Young-Kwon & Sonne, Christian & Kong, Sieng Huat & Tabatabaei, 2021. "Progress in the torrefaction technology for upgrading oil palm wastes to energy-dense biochar: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    18. Qin, Caiyan & Kim, Joong Bae & Lee, Bong Jae, 2019. "Performance analysis of a direct-absorption parabolic-trough solar collector using plasmonic nanofluids," Renewable Energy, Elsevier, vol. 143(C), pages 24-33.
    19. Kaushik, Lav Kumar & Muthukumar, P., 2020. "Thermal and economic performance assessments of waste cooking oil /kerosene blend operated pressure cook-stove with porous radiant burner," Energy, Elsevier, vol. 206(C).
    20. Yaman, Hayri & Yesilyurt, Murat Kadir & Uslu, Samet, 2022. "Simultaneous optimization of multiple engine parameters of a 1-heptanol / gasoline fuel blends operated a port-fuel injection spark-ignition engine using response surface methodology approach," Energy, Elsevier, vol. 238(PC).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1740-:d:155926. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.