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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central
2008
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| Online Access: | 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 http://psasir.upm.edu.my/id/eprint/12727/ |
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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.pdfhttp://psasir.upm.edu.my/id/eprint/12727/