Thermostable lipase from a newly isolated Staphylococcus xylosus strain; process optimization and characterization using RSM and ANN

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 xyl...

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Autores principales:	Khoramnia,Anahita, Lai,Oi Ming, Ebrahimpour,Afshin, Tanduba,Carynn Josue, Voon,Tan Siow, Mukhlis,Suriati
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Valparaíso 2010
Materias:	artificial neural network characterization lipase optimization response surface methodology Staphylococcus xylosus
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582010000500015
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spelling	oai:scielo:S0717-345820100005000152011-05-24Thermostable lipase from a newly isolated Staphylococcus xylosus strain; process optimization and characterization using RSM and ANNKhoramnia,AnahitaLai,Oi MingEbrahimpour,AfshinTanduba,Carynn JosueVoon,Tan SiowMukhlis,Suriati artificial neural network characterization lipase optimization response surface methodology Staphylococcus xylosus 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 mesophilic staphylococci bacterium with a high thermostable lipase which is able to retain 50% of its activity at 70ºC after 90 min and at 60ºC after 120 min. This lipase is also acidic and alkaline resistant which remains active after 24 hrs in a broad range of pH (4-11).info:eu-repo/semantics/openAccessPontificia Universidad Católica de ValparaísoElectronic Journal of Biotechnology v.13 n.5 20102010-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582010000500015en
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	artificial neural network characterization lipase optimization response surface methodology Staphylococcus xylosus
spellingShingle	artificial neural network characterization lipase optimization response surface methodology Staphylococcus xylosus Khoramnia,Anahita Lai,Oi Ming Ebrahimpour,Afshin Tanduba,Carynn Josue Voon,Tan Siow Mukhlis,Suriati Thermostable lipase from a newly isolated Staphylococcus xylosus strain; process optimization and characterization using RSM and ANN
description	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 mesophilic staphylococci bacterium with a high thermostable lipase which is able to retain 50% of its activity at 70ºC after 90 min and at 60ºC after 120 min. This lipase is also acidic and alkaline resistant which remains active after 24 hrs in a broad range of pH (4-11).
author	Khoramnia,Anahita Lai,Oi Ming Ebrahimpour,Afshin Tanduba,Carynn Josue Voon,Tan Siow Mukhlis,Suriati
author_facet	Khoramnia,Anahita Lai,Oi Ming Ebrahimpour,Afshin Tanduba,Carynn Josue Voon,Tan Siow Mukhlis,Suriati
author_sort	Khoramnia,Anahita
title	Thermostable lipase from a newly isolated Staphylococcus xylosus strain; process optimization and characterization using RSM and ANN
title_short	Thermostable lipase from a newly isolated Staphylococcus xylosus strain; process optimization and characterization using RSM and ANN
title_full	Thermostable lipase from a newly isolated Staphylococcus xylosus strain; process optimization and characterization using RSM and ANN
title_fullStr	Thermostable lipase from a newly isolated Staphylococcus xylosus strain; process optimization and characterization using RSM and ANN
title_full_unstemmed	Thermostable lipase from a newly isolated Staphylococcus xylosus strain; process optimization and characterization using RSM and ANN
title_sort	thermostable lipase from a newly isolated staphylococcus xylosus strain; process optimization and characterization using rsm and ann
publisher	Pontificia Universidad Católica de Valparaíso
publishDate	2010
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582010000500015
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Thermostable lipase from a newly isolated Staphylococcus xylosus strain; process optimization and characterization using RSM and ANN

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