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dc.contributor.authorAhmad Anas, Nagoor Gunny
dc.contributor.authorDachyar, Arbain, Prof. Madya Dr.
dc.contributor.authorSithamparam, Logachanthirika
dc.date.accessioned2014-03-25T08:01:08Z
dc.date.available2014-03-25T08:01:08Z
dc.date.issued2013
dc.identifier.citationPakistan Journal of Biological Sciences, vol. 16(18), 2013, pages 960-964en_US
dc.identifier.issn1028-8880
dc.identifier.urihttp://www.scialert.net/abstract/?doi=pjbs.2013.960.964
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/33103
dc.descriptionLink to publisher's homepage at http://www.ansinet.com/en_US
dc.description.abstractProduction cost of enzyme is largely determined by the type of the strain and raw material used to propagate the strain. Hence, selection of the strain and raw materials is crucial in enzyme production. For Glucose oxidase (GOx), previous studies showed Aspergillus terreus UniMAP AA-1 offers a better alternative to the existing sources. Thus, a lower production cost could be logically anticipated by growing the strain in a cheaper complex media such as molasses. In this work, sugar cane molasses, supplemented with urea and carbonate salt and a locally isolated strain Aspergillus terreus UniMAP AA-1 were used to produce a crude GOx enzyme in a small scale. A statistical optimization approach namely Response Surface Methodology (RSM) was used to optimize the media components for highest GOx activity. It was found that the highest GOx activity was achieved using a combination of molasses, carbonate salt and urea at concentration 32.51, 4.58 and 0.93% (w/v), respectively. This study provides an alternative optimized media conditions for GOx production using locally available raw materials.en_US
dc.language.isoenen_US
dc.publisherAsian Network for Scientific Information (ANSINET)en_US
dc.subjectAsperfillus terreusen_US
dc.subjectEnzymeen_US
dc.subjectFtiren_US
dc.subjectFungusen_US
dc.subjectGlucose oxidaseen_US
dc.subjectMolassesen_US
dc.subjectOptimisationen_US
dc.subjectRSen_US
dc.subjectUreaen_US
dc.titleOptimization of complex fermentation media for glucose oxidase production using statistical approachen_US
dc.typeArticleen_US
dc.contributor.urlahmadanas@unimap.edu.myen_US
dc.contributor.urldachyar@unimap.edu.myen_US


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