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Acid hydrolysis optimization of cocoa pod shell using response surface methodology approach toward ethanol production
- Source :
- Agriculture and Natural Resources, Vol 52, Iss 6, Pp 581-587 (2018)
- Publication Year :
- 2018
- Publisher :
- Kasetsart University and Development Institute, 2018.
-
Abstract
- Cocoa pod shell (CPS) is an underutilized agricultural lignocellulosic biomass. Hydrochloric acid (HCl) hydrolysis was carried out to release the reducing sugars from CPS. The conditions (CPS weight, concentration of HCl, revolutions per minute, hydrolysis period) which affect HCl hydrolysis were screened using one factor at a time approach of which determined that CPS weight, HCl concentration and hydrolysis period had a significant effect on the acid hydrolysis process. The levels of these factors were further optimized using a central composite design using response surface methodology. The optimized conditions were 8.36% (weight per volume) of CPS, 3.6 N of HCl concentration with 7.36 h of acid hydrolysis which yielded 4.09 g/L reducing sugars. A second order model was generated and validated, which was found to be a good fit (coefficient of determination = 0.914). The released reducing sugars after the acid hydrolysis under optimized conditions were subjected to alcoholic fermentation by Pichia stipitis to produce bioethanol. The bioethanol concentration reached 2 g/L at 2% (volume per volume) inoculum concentration after 72 h of fermentation. Keywords: Bioethanol, Cocoa pod shell, Optimization, Reducing sugars
- Subjects :
- 0106 biological sciences
Chromatography
Central composite design
biology
Chemistry
020209 energy
02 engineering and technology
Ethanol fermentation
biology.organism_classification
lcsh:S1-972
01 natural sciences
Hydrolysis
010608 biotechnology
0202 electrical engineering, electronic engineering, information engineering
Ethanol fuel
Acid hydrolysis
Fermentation
Response surface methodology
lcsh:Agriculture (General)
General Agricultural and Biological Sciences
Pichia stipitis
Subjects
Details
- ISSN :
- 2452316X
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- Agriculture and Natural Resources
- Accession number :
- edsair.doi.dedup.....39d4d27b1a5046a6eea44e293c0b98f1
- Full Text :
- https://doi.org/10.1016/j.anres.2018.11.022