A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM

A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM

Background: Thermostable bacterial lipases occupy a place of prominence among biocatalysts owing to their novel, multifold applications and resistance to high temperature and other operational conditions. The capability of lipases to catalyze a variety of novel reactions in both aqueous and nonaqueo...

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Bibliographic Details
Main Authors: Ebrahimpour, Afshin, Raja Abdul Rahman, Raja Noor Zaliha, Ch'ng, Diana Hooi Ean, Basri, Mahiran, Salleh, Abu Bakar
Format: Article
Language:English
Published: BioMed Central 2008
Online Access:http://psasir.upm.edu.my/id/eprint/12727/
http://psasir.upm.edu.my/id/eprint/12727/1/A%20modeling%20study%20by%20response%20surface%20methodology%20and%20artificial%20neural%20network%20on%20culture%20parameters%20optimization%20for%20thermostable%20lipase%20production%20from%20a%20newly%20isolated%20thermophilic%20Geobacillus%20sp.pdf

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