Modeling and optimization of bioethanol production yield from corn starch using response surface methodology

Salim Rashid Salim Alalyani, Nageswara Rao Lakkimsetty (), Feroz Shaik and M J Varghese
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Salim Rashid Salim Alalyani: National University of Science & Technology
Nageswara Rao Lakkimsetty: National University of Science & Technology
Feroz Shaik: Prince Mohammad Bin Fahd University
M J Varghese: National University of Science & Technology

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2025, vol. 27, issue 9, No 93, 22748 pages

Abstract: Abstract The demand for alternate fuels/biofuels is increasing rapidly to counter the adverse economic and environmental impacts created by conventional fossil fuels. The production of biofuels from various natural raw materials is gaining importance due to sustainability from renewable resources. Ethanol is widely used biofuel, manufactured from natural raw materials. In this work, bioethanol was produced from corn starch. Various factors that influence the production of bioethanol such as substrate loading, temperature, pH, reaction time, enzyme titer were studied. The maximum bioethanol yield (97.3%) was achieved at the substrate loading = 40% w/v, temperature = 55 °C, reaction time = 5 h, pH = 6, enzyme titer = 25 IU/mL. A central composite design (CCD) using response surface methodology (RSM) was employed to optimize the influencing factors for the bioethanol production yield. Optimization of these factors was able to achieve 98.3% of bioethanol yield at the process conditions of substrate loading = 30.4 w/v, temperature = 55.8 °C, reaction time = 5.2 h, pH = 5.2, and enzyme titer = 29.2 IU/mL. The experimental optimum values were in good agreement with predicted values from RSM.

Keywords: Bioethanol; Corn; Optimization; Response surface methodology; Central composite design (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10668-023-02990-y

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