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Modeling of glutamic acid production by Lactobacillus plantarum MNZ Electron. J. Biotechnol.
Zareian,Mohsen; Ebrahimpour,Afshin; Mohamed,Abdul Karim Sabo; Saari,Nazamid.
Background: L-glutamic acid, the principal excitatory neurotransmitter in the brain and an important intermediate in metabolism acts as a precursor of γ-amino butyric acid (GABA). In the present study, culture condition for enhanced glutamic acid production by Lactobacillus plantarum MNZ was optimized and the influence of such conditions on GABA production was evaluated. Results: Results indicated that glutamic acid increased up to 3-fold (3.35) under the following condition: pH 4.5, temperature 37ºC, 12% (w/v) glucose and 0.7% (w/v) ammonium nitrate; whilst GABA production was enhanced up to 10-fold under the following condition: pH 4.5, temperature 37ºC, 6% (w/v) glucose and 0.7% (w/v) ammonium nitrate. Conclusions: This is the first report for...
Tipo: Journal article Palavras-chave: γ -amino butyric acid functional foods lactic acid bacteria medium optimization response surface methodology.
Ano: 2013 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582013000400012
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Thermostable lipase from a newly isolated Staphylococcus xylosus strain; process optimization and characterization using RSM and ANN Electron. J. Biotechnol.
Khoramnia,Anahita; Lai,Oi Ming; Ebrahimpour,Afshin; Tanduba,Carynn Josue; Voon,Tan Siow; Mukhlis,Suriati.
Normal feed forward back-propagation artificial neural network (ANN) and cubic backward elimination response surface methodology (RSM) were used to build a predictive model of the combined effects and optimization of culture parameters for the lipase production of a newly isolated Staphylococcus xylosus. The results demonstrated a high predictive accuracy of artificial neural network compared to response surface methodology. The optimum operating condition obtained from the ANN model was found to be at 30ºC incubation temperature, pH 7.5, 60 hrs incubation period, 1.8% inoculum size and 60 rpm agitation. The lipase production increased 3.5 fold for optimal medium. The produced enzyme was characterized biochemically and this is the first report about a...
Tipo: Journal article Palavras-chave: Artificial neural network; Characterization; Lipase; Optimization; Response surface methodology; Staphylococcus xylosus.
Ano: 2010 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582010000500015
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Lipase production and growth modeling of a novel thermophilic bacterium: Aneurinibacillus thermoaerophilus strain AFNA Electron. J. Biotechnol.
Ebrahimpour,Afshin; Rahman,Raja Noor Zaliha Raja Abd; Kamarudin,Nor Hafizah Ahmad; Basri,Mahiran; Salleh,Abu Bakar.
Aneurinibacillus thermoaerophilus strain AFNA as a novel isolated extracellular thermostable organic solvent tolerant lipase producing bacterium was employed in the present study. The lipase production of strain AFNA and its correlation with bacterial growth was studied via a modeling assessment by response surface methodology (RSM) and artificial neural network (ANN) techniques. The best achieved models were multilayer full feed forward incremental back propagation network and modified cubic response surface model (mRSM) using backward elimination. The highest lipase specific activity (13.1 Umg-1) and bacterial growth (OD600 = 3.0) were obtained at technically similar: growth temperature (53 and 53ºC), inoculum size (2.6 and 3.0%), agitation rate (118 and...
Tipo: Journal article Palavras-chave: Artificial neural network; Modified response surface methodology; Thermostable; Organic solvent tolerant.
Ano: 2011 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582011000400006
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