Optimizing two green-like biomass pretreatments for maximum bioethanol production in desirable banana pseudostem by effectively enhancing cellulose depolymerization and accessibility

2021 ◽  
Author(s):  
Fei Liu ◽  
Jingyang Li ◽  
Hua Yu ◽  
Yuqi Li ◽  
Yanting Wang ◽  
...  
Keyword(s):  
Response Surface ◽  
Bioethanol Production ◽  
Fruit Crop ◽  
Green Liquor ◽  
Cellulose Depolymerization ◽  
Biochemical Production

Banana is an important fruit crop with enormous lignocellulose-rich pseudostem residues convertible for biofuels and biochemical production. By performing response surface methodological modeling, this study optimized green liquor (GL) and...

scholarly journals Design and Optimization of a Process for Sugarcane Molasses Fermentation bySaccharomyces cerevisiaeUsing Response Surface Methodology

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Nour Sh. El-Gendy ◽  
Hekmat R. Madian ◽  
Salem S. Abu Amr
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Batch Fermentation ◽  
Fermentation Process ◽  
Incubation Temperature ◽  
Operating Conditions ◽  
Quadratic Model ◽  
Optimum Operating ◽  
Sugarcane Molasses ◽  
Bioethanol Production

A statistical model was developed in this study to describe bioethanol production through a batch fermentation process of sugarcane molasses by locally isolatedSaccharomyces cerevisiaeY-39. Response surface methodology RSM based on central composite face centered design CCFD was employed to statistically evaluate and optimize the conditions for maximum bioethanol production and study the significance and interaction of incubation period, initial pH, incubation temperature, and molasses concentration on bioethanol yield. With the use of the developed quadratic model equation, a maximum ethanol production of 255 g/L was obtained in a batch fermentation process at optimum operating conditions of approximately 71 h, pH 5.6, 38°C, molasses concentration 18% wt.%, and 100 rpm.

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