2008
DOI: 10.1016/j.biortech.2007.03.041
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of various parameters of calcium-alginate immobilization method for enhanced alkaline protease production by Bacillus licheniformis NCIM-2042 using statistical methods

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
23
0
1

Year Published

2008
2008
2018
2018

Publication Types

Select...
8
2

Relationship

3
7

Authors

Journals

citations
Cited by 56 publications
(25 citation statements)
references
References 30 publications
1
23
0
1
Order By: Relevance
“…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%