Yayın: Statistical optimization of dilute acid pretreatment of lignocellulosic biomass by response surface methodology to obtain fermentable sugars for bioethanol production
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item.page.editor
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Bölüm / Program
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
WILEY
DOI
10.1002/er.6423
Türü
Özet
Central composite design to optimize sugar recovery from cotton straw and sunflower straw using dilute acid pretreatment was applied. Selected input variables were acid concentration, retention time, and temperature, as well as the response parameter of sugar yield. The optimum pretreatment conditions observed for maximum sugar yield are temperature: 121.7 degrees C, acid concentration: 2.28% (vol/vol), and time: 36.82 minutes for cotton straw; temperature: 87.03 degrees C, and acid concentration: 3.68% (vol/vol), and time: 36.82 minutes for sunflower straw. Maximum sugar concentrations were corresponded to 20 and 17.5 g L-1 under conditions for sunflower and cotton straw, respectively. This study not only investigates the sugar recovery efficiency statistically but also examines the ethanol production efficiency. As a result, the maximum ethanol concentration, ethanol yield, and ethanol productivity of 7.21 g L-1, 0.41 g g(-1), and 0.10 g L-1 h(-1) for cotton straw and 8.05 g L-1, 0.40 g g(-1), and 0.11 g L-1 h(-1) for sunflower straw were achieved via fermentation with Saccharomyces cerevisiae, respectively. The output of this study is important for the commercialization of bioprocesses that enable the conversion of the lignocellulosic waste matrix into high value-added products in a biorefinery concept.
Tanım
Dergi veya Seri
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
ISSN
0363-907X
ISBN
Haklar
Anahtar Kelimeler
bioethanol , fermentation , lignocellulose , pretreatment , response surface methodology , sugar recovery , ETHANOL FERMENTATION , HYDROGEN-PRODUCTION , COTTON STALK , SACCHAROMYCES-CEREVISIAE , ENZYMATIC-HYDROLYSIS , ZYMOMONAS-MOBILIS , TEMPERATURE , KINETICS , BIOCONVERSION , PH , Energy & Fuels , Nuclear Science & Technology