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Dextranase production was optimized using statistical designs and the enzyme was purified 1.8-fold with 55.5% recovery.
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Instead of using groups of viewers and non-viewers, later large-scale studies used statistical designs and methods for estimating cause-effect relationships.
strain ER1 isolated from Cochin estuarine soil; was optimised using statistical designs- Plackett-Burman and Central composite design.
The objective of the present work was to characterize the medium of S. marcescens JPP1 for maximum antagonistic effect on aflatoxin in favor of the chitinase production, using statistical designs of Plackett-Burman and central composite design of response surface methodology.
Although many studies on inulin hydrolysis are available in the literature, very few reports describe optimization of inulin hydrolysis using statistical designs [19, 30].
Asparaginase production, optimization using statistical design, purification and characterization were the main evaluated outcomes.
The nonlinear process modeling is investigated using statistical design method and response surface methodology.
The synthesis conditions were systematically studied using statistical design (Box Behnken Program) and the optimum conditions were determined.
Studies have been done to develop such material with desired engineering specification by using statistical design of experiment and optimizing the process conditions or mix formulation of waste materials.
A quantitative method was developed at laboratory scale using statistical design of experiments (DOE) and multivariate data analysis such as principal component analysis (PCA) and partial least squares (PLS) regression.
Nine species of fungi were reported in the selected studies, out of which 13 studies optimized the medium composition using statistical design for enhanced asparaginase production and six reported purification and characterization of the enzyme.
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