Production of recombinant Oryza sativa non-symbiotic hemoglobin 1 (OsHb1) by Escherichia coli was maximized in shake-flask cultures in media containing tryptone, yeast extract, sodium chloride and byproduct glycerol from biodiesel production. Response surface methodology (RSM) and artificial neural networks (ANNs), followed by multiple response optimization through a desirability function were applied to evaluate the amount of OsHb1 produced. The results obtained by the application of ANNs were more reliable since better statistical parameters were obtained. The optimal conditions were (g L-1), tryptone, 42.69; yeast extract, 20.11; sodium chloride, 17.77; and byproduct glycerol, 0.33. A maximum recombinant protein concentration of 3.50 g L...
A generalized regression neural network with external feedback was used to predict plasmid productio...
Xanthan gum produced by the bacterium Xanthomonas campestris ATCC 29497(NCIM 5028) using synthetic ...
Two multiple response optimization methodologies were applied and compared to obtain an optimum comb...
Cholesterol oxidase (COD) is a bi-functional FAD-containing oxidoreductase which catalyzes the oxida...
Bacillus subtilis was investigated as production of biosurfactant using a combination based on waste...
Response surface methodology (RSM) and artificial neural network (ANN) were used to simulate and opt...
Response surface methodology (RSM) is commonly used for optimising process parameters affecting enzy...
In this work, the biomass growth and the TaqI endonuclease production by recombinant Esherichia coli...
AbstractResponse surface methodology (RSM) is commonly used for optimising process parameters affect...
Bacteriocin-like inhibitory substances (BLIS) produced by Lactococcus lactis Gh1 had shown antimicro...
In this study, an artificial neural networks (ANN) model is developed to investigate the relationshi...
ASTM program POCI 2010 (project POCI/CTM/57177/2004) suported by FEDER and FCTElastin-Like Polymer...
A generalized regression neural network with external feedback was used to predict plasmid productio...
Mixotrophic metabolism was evaluated as an option to augment the growth and lipid production of mari...
Mixotrophic metabolism was evaluated as an option to augment the growth and lipid production of mari...
A generalized regression neural network with external feedback was used to predict plasmid productio...
Xanthan gum produced by the bacterium Xanthomonas campestris ATCC 29497(NCIM 5028) using synthetic ...
Two multiple response optimization methodologies were applied and compared to obtain an optimum comb...
Cholesterol oxidase (COD) is a bi-functional FAD-containing oxidoreductase which catalyzes the oxida...
Bacillus subtilis was investigated as production of biosurfactant using a combination based on waste...
Response surface methodology (RSM) and artificial neural network (ANN) were used to simulate and opt...
Response surface methodology (RSM) is commonly used for optimising process parameters affecting enzy...
In this work, the biomass growth and the TaqI endonuclease production by recombinant Esherichia coli...
AbstractResponse surface methodology (RSM) is commonly used for optimising process parameters affect...
Bacteriocin-like inhibitory substances (BLIS) produced by Lactococcus lactis Gh1 had shown antimicro...
In this study, an artificial neural networks (ANN) model is developed to investigate the relationshi...
ASTM program POCI 2010 (project POCI/CTM/57177/2004) suported by FEDER and FCTElastin-Like Polymer...
A generalized regression neural network with external feedback was used to predict plasmid productio...
Mixotrophic metabolism was evaluated as an option to augment the growth and lipid production of mari...
Mixotrophic metabolism was evaluated as an option to augment the growth and lipid production of mari...
A generalized regression neural network with external feedback was used to predict plasmid productio...
Xanthan gum produced by the bacterium Xanthomonas campestris ATCC 29497(NCIM 5028) using synthetic ...
Two multiple response optimization methodologies were applied and compared to obtain an optimum comb...