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Response surface optimization of bioethanol production from third generation feedstock - Eucheuma cottonii

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  • Jambo, Siti Azmah
  • Abdulla, Rahmath
  • Marbawi, Hartinie
  • Gansau, Jualang Azlan

Abstract

Response Surface Methodology (RSM) based on Central Composite Design (CCD) was employed to optimize the conditions of enzymatic hydrolysis and fermentation of the seaweed Eucheuma cottonii. The significant influence of cellulose loading, enzyme loading and incubation time in enzymatic hydrolysis that has been screened by Plackett-Burman Design (PBD) was optimized using CCD. The optimum glucose concentration of 24.24 g/L (81% glucose yield) was obtained at 3% (v/v) of cellulose loading, 4% (v/v) of enzyme loading and 54 h incubation time. Subsequently, PBD analysis showed the significant effects of inoculum concentration, pH, temperature and time on fermentation process. Further optimization study by CCD revealed that 12% (v/v) of inoculum concentration, pH 5.2, 32 °C and 72 h of fermentation time enhanced the bioethanol production up to 9.77 g/L with the yield of 0.40 g/g and 78% conversion efficiency. Thus, the RSM based optimization of bioethanol from Eucheuma cottonii showed satisfactory results in this research. In short, it can be concluded that this optimization approach will serve as a good foundation for the realization of a consistent bioethanol production in the future.

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  • Jambo, Siti Azmah & Abdulla, Rahmath & Marbawi, Hartinie & Gansau, Jualang Azlan, 2019. "Response surface optimization of bioethanol production from third generation feedstock - Eucheuma cottonii," Renewable Energy, Elsevier, vol. 132(C), pages 1-10.
    • Handle: RePEc:eee:renene:v:132:y:2019:i:c:p:1-10
    DOI: 10.1016/j.renene.2018.07.133
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    References listed on IDEAS

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    1. Adnan, Nur Amelia Azreen & Suhaimi, Sheril Norliana & Abd-Aziz, Suraini & Hassan, Mohd Ali & Phang, Lai-Yee, 2014. "Optimization of bioethanol production from glycerol by Escherichia coli SS1," Renewable Energy, Elsevier, vol. 66(C), pages 625-633.
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    1. Jafari Olia, Mahroo Seyed & Azin, Mehrdad & Moazami, Nasrin, 2022. "Application of a statistical design to evaluate bioethanol production from Chlorella S4 biomass after acid - Thermal pretreatment," Renewable Energy, Elsevier, vol. 182(C), pages 60-68.
    2. Mohamed Hashem & Saad A. Alamri & Tahani A. Y. Asseri & Yasser S. Mostafa & Gerasimos Lyberatos & Ioanna Ntaikou, 2021. "On the Optimization of Fermentation Conditions for Enhanced Bioethanol Yields from Starchy Biowaste via Yeast Co-Cultures," Sustainability, MDPI, vol. 13(4), pages 1-13, February.

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