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Optimization of Bioethanol Production from Cassava Wastewater Using Response Surface Methodology
Subject area: Science,Engineering and Technology · Area of research: Microbiology Technology
Abstract
Nigeria, a leading global producer of cassava, generates substantial amounts of processing waste, including wastewater. This readily available feedstock presents an opportunity to address the environmental challenges associated with improper waste disposal. Cassava wastewater, if not managed effectively, can contaminate water sources and contribute to soil degradation. This study investigated the optimization of bioethanol production from cassava wastewater using Response Surface Methodology (RSM). Four independent variables, namely temperature (25-45 ?C), pH (6-8), incubation time (3-7 days), and wastewater concentration (25-100%), were evaluated using a Central Composite Design. A two-factor interaction (2FI) model was found to be statistically significant (p < 0.0001), with an adjusted R? of 0.9463 and a predicted R? of 0.8809, indicating a good fit. The model predicted maximum ethanol yield (17.34% v/v) at 45 ?C, pH 8, 6 days? incubation, and 100% wastewater concentration. Validation experiments confirmed the model's accuracy, with an observed ethanol yield of 16.50% ? 0.87% (v/v), which was within the 95% prediction interval. Concurrent analysis revealed significant reductions in heavy metal concentrations (e.g., lead from 0.032 mg/L to 0.0021 mg/L) and total solids (from 119.65 mg/L to 3.71 mg/L) in the wastewater after fermentation. These findings demonstrate the feasibility of bioethanol production from cassava wastewater, offering a sustainable solution for waste management and a promising avenue for renewable energy generation.
Keywords
Bioethanol, cassava, waste water, palm wine, saccharomyces cerevisae, RSM, Optimisation, and renewable energy
How to cite this paper
@article{1706833,
author = {Amaoma J. N, Onwukwe, C. D., Stanley, H. O.},
title = {Optimization of Bioethanol Production from Cassava Wastewater Using Response Surface Methodology},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {7},
pages = {14-33},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1706833.pdf},
abstract = {Nigeria, a leading global producer of cassava, generates substantial amounts of processing waste, including wastewater. This readily available feedstock presents an opportunity to address the environmental challenges associated with improper waste disposal. Cassava wastewater, if not managed effectively, can contaminate water sources and contribute to soil degradation. This study investigated the optimization of bioethanol production from cassava wastewater using Response Surface Methodology (RSM). Four independent variables, namely temperature (25-45 ?C), pH (6-8), incubation time (3-7 days), and wastewater concentration (25-100%), were evaluated using a Central Composite Design. A two-factor interaction (2FI) model was found to be statistically significant (p < 0.0001), with an adjusted R? of 0.9463 and a predicted R? of 0.8809, indicating a good fit. The model predicted maximum ethanol yield (17.34% v/v) at 45 ?C, pH 8, 6 days? incubation, and 100% wastewater concentration. Validation experiments confirmed the model's accuracy, with an observed ethanol yield of 16.50% ? 0.87% (v/v), which was within the 95% prediction interval. Concurrent analysis revealed significant reductions in heavy metal concentrations (e.g., lead from 0.032 mg/L to 0.0021 mg/L) and total solids (from 119.65 mg/L to 3.71 mg/L) in the wastewater after fermentation. These findings demonstrate the feasibility of bioethanol production from cassava wastewater, offering a sustainable solution for waste management and a promising avenue for renewable energy generation.},
keywords = {Bioethanol, cassava, waste water, palm wine, saccharomyces cerevisae, RSM, Optimisation, and renewable energy},
month = {January},
}