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<p>The growing need for alternative energy sources has driven research into bioethanol production from waste materials because of its advantageous emission characteristics. This study aims to optimize fermentation conditions for bioethanol production from water hyacinth, a plentiful and cheap bioresource. Optimization was carried out using Response Surface Methodology (RSM) with the Box-Behnken design, generating twenty-nine experimental batches. The effects of pH, fermentation time, temperature, and yeast concentration on bioethanol yield were analyzed. A quadratic polynomial model was produced and assessed using analysis of variance (ANOVA), achieving a coefficient of determination (R²) of 0.96, showing strong model reliability. The optimized parameters of pH 6.75, fermentation time of 10.5 days, yeast concentration of 10%, and temperature of 27.5&#xa0;°C produced a predicted bioethanol production of 4.9&#xa0;ml/g. These results support the viability of employing response surface technology to optimize bioethanol fermentation, hence promoting the development of sustainable biofuel production.</p>

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Optimization of Fermentation Parameters for Bioethanol Production Using Water Hyacinth (Eichhornia crassipes)

  • 期刊论文

  • 发表日期：

    2025年4月30日

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  • Desta Mulu,
  • Fantaw Yimer,
  • Muluken Mekuyie

摘要

The growing need for alternative energy sources has driven research into bioethanol production from waste materials because of its advantageous emission characteristics. This study aims to optimize fermentation conditions for bioethanol production from water hyacinth, a plentiful and cheap bioresource. Optimization was carried out using Response Surface Methodology (RSM) with the Box-Behnken design, generating twenty-nine experimental batches. The effects of pH, fermentation time, temperature, and yeast concentration on bioethanol yield were analyzed. A quadratic polynomial model was produced and assessed using analysis of variance (ANOVA), achieving a coefficient of determination (R²) of 0.96, showing strong model reliability. The optimized parameters of pH 6.75, fermentation time of 10.5 days, yeast concentration of 10%, and temperature of 27.5 °C produced a predicted bioethanol production of 4.9 ml/g. These results support the viability of employing response surface technology to optimize bioethanol fermentation, hence promoting the development of sustainable biofuel production.