2008
DOI: 10.1016/j.biortech.2007.03.041
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Evaluation of various parameters of calcium-alginate immobilization method for enhanced alkaline protease production by Bacillus licheniformis NCIM-2042 using statistical methods

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Cited by 55 publications
(25 citation statements)
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“…Since single factor experiments cannot consider the interactions between various parameters, statistical methods including RSM have been widely applied for the optimization of the parameters for various biotechnology processes [7,15,16]. In the case of entrapment of microbial cells or enzymes, optimization of the immobilization conditions improves the rigidity and permeability of the beads [17].…”
Section: Optimization Of the Immobilization Conditionsmentioning
confidence: 99%
“…Since single factor experiments cannot consider the interactions between various parameters, statistical methods including RSM have been widely applied for the optimization of the parameters for various biotechnology processes [7,15,16]. In the case of entrapment of microbial cells or enzymes, optimization of the immobilization conditions improves the rigidity and permeability of the beads [17].…”
Section: Optimization Of the Immobilization Conditionsmentioning
confidence: 99%
“…RSM was applied successfully for optimizing process parameters for various processes in biotechnology [16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…6) Furthermore, misinterpretation of results may occur if the interaction effects between different variables are overlooked. 25,26) These limitations, however, can be eliminated by using the response surface methodology (RSM) due to the latter's various advantages. 17,27) RSM is a collection of experimental strategies, and mathematical and statistical methods for constructing and exploring approximate functional relationships, between the response variable and a set of design variables.…”
mentioning
confidence: 99%