dc.contributor.author |
Mushimiyimana, Isaie |
|
dc.date.accessioned |
2018-11-27T13:29:21Z |
|
dc.date.available |
2018-11-27T13:29:21Z |
|
dc.date.issued |
2015 |
|
dc.identifier.citation |
https://www.researchgate.net/publication/274562802_Statistical_Optimization_of_Cellulase_and_Xylanase_Enzyme_Production_by_Penicillium_Crustosum_Using_Sugar_Beet_Peel_Substrate_by_Response_Surface_Methodology |
en_US |
dc.identifier.issn |
0975-8585 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/356 |
|
dc.description |
Journal Article |
en_US |
dc.description.abstract |
Response Surface Methodology (RSM) is a powerful and efficient mathematical approach widely
applied in the optimization process of selected variables. Cellulase and xylanase enzyme production by
Penicillium crustosum using agrowaste substrate (sugar beet peel) was investigated by optimizing various
process parameters such as carbon and nitrogen source, pH and inoculum size. In the present study
optimization was based on statistical design and employed to enhance the production of cellulase and
xylanase enzyme production through submerged fermentation. A fractional factorial design (24 ) was applied to
elucidate the process parameters that significantly affect cellulase and xylanase production. Carbon and
nitrogen source, pH, inoculum size were identified as important process parameters effecting cellulase and
xylanase enzyme production. The optimum yield of cellulase and xylanase activity was (5.56 U/ml), (36.14
U/ml) respectively. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Research Journal of Pharmaceutical, Biological and Chemical Sciences |
en_US |
dc.relation.ispartofseries |
;RJPBCS 6(1) |
|
dc.subject |
Cellulase |
en_US |
dc.subject |
Xylanase |
en_US |
dc.subject |
Sugar beet peel |
en_US |
dc.subject |
Response surface methodology (RSM) |
en_US |
dc.title |
Statistical Optimization of Cellulase and Xylanase Enzyme Production by Penicillium Crustosum Using Sugar Beet Peel Substrate by Response Surface Methodology. |
en_US |
dc.type |
Article |
en_US |