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Optimization of complex fermentation media for glucose oxidase production using statistical approach

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Main Authors: Ahmad Anas, Nagoor Gunny, Dachyar, Arbain, Prof. Madya Dr., Sithamparam, Logachanthirika
Other Authors: ahmadanas@unimap.edu.my
Format: Article
Language:English
Published: Asian Network for Scientific Information (ANSINET) 2014
Subjects:
Asperfillus terreus
Enzyme
Ftir
Fungus
Glucose oxidase
Molasses
Optimisation
RS
Urea
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33103
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spelling my.unimap-331032019-09-11T02:06:55Z Optimization of complex fermentation media for glucose oxidase production using statistical approach Ahmad Anas, Nagoor Gunny Dachyar, Arbain, Prof. Madya Dr. Sithamparam, Logachanthirika ahmadanas@unimap.edu.my dachyar@unimap.edu.my Asperfillus terreus Enzyme Ftir Fungus Glucose oxidase Molasses Optimisation RS Urea Link to publisher's homepage at http://www.ansinet.com/ Production 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. 2014-03-25T08:01:08Z 2014-03-25T08:01:08Z 2013 Article Pakistan Journal of Biological Sciences, vol. 16(18), 2013, pages 960-964 1028-8880 http://www.scialert.net/abstract/?doi=pjbs.2013.960.964 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33103 en Asian Network for Scientific Information (ANSINET)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Asperfillus terreus
Enzyme
Ftir
Fungus
Glucose oxidase
Molasses
Optimisation
RS
Urea
spellingShingle Asperfillus terreus
Enzyme
Ftir
Fungus
Glucose oxidase
Molasses
Optimisation
RS
Urea
Ahmad Anas, Nagoor Gunny
Dachyar, Arbain, Prof. Madya Dr.
Sithamparam, Logachanthirika
Optimization of complex fermentation media for glucose oxidase production using statistical approach
description Link to publisher's homepage at http://www.ansinet.com/
author2 ahmadanas@unimap.edu.my
author_facet ahmadanas@unimap.edu.my
Ahmad Anas, Nagoor Gunny
Dachyar, Arbain, Prof. Madya Dr.
Sithamparam, Logachanthirika
format Article
author Ahmad Anas, Nagoor Gunny
Dachyar, Arbain, Prof. Madya Dr.
Sithamparam, Logachanthirika
author_sort Ahmad Anas, Nagoor Gunny
title Optimization of complex fermentation media for glucose oxidase production using statistical approach
title_short Optimization of complex fermentation media for glucose oxidase production using statistical approach
title_full Optimization of complex fermentation media for glucose oxidase production using statistical approach
title_fullStr Optimization of complex fermentation media for glucose oxidase production using statistical approach
title_full_unstemmed Optimization of complex fermentation media for glucose oxidase production using statistical approach
title_sort optimization of complex fermentation media for glucose oxidase production using statistical approach
publisher Asian Network for Scientific Information (ANSINET)
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33103
_version_ 1651868552437694464
score 13.160551

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