Application of response surface methodology to evaluate the influence of temperature and initial pH on the production of β-1,3-glucanase and carboxymethylcellulase from Trichoderma harzianum
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Cites methods from "Application of response surface met..."
...For all procedures optimization the response surface methodology was used [16, 18, 19], which includes design of factorial experiments, development of models for the response surface estimation and model-based search of optimum point....
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1 citations
Cites background from "Application of response surface met..."
...xn*] T , at which the minimum yield of hydrocarbon leakage with the particular S-S composition was obtained, and determination of optimal point location [7, 8; 9]....
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1 citations
Cites background from "Application of response surface met..."
...(24) and Theódore and Panda (25) to optimize the production of b-1,3-glucanase by some species of Trichoderma in submerged fermentation using different b-(1®3,1®6)-D-glucans as the carbon source....
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...(23) and Théodore and Panda (25) in the optimization of the production of b-1,3-glucanases using Trichoderma harzianum....
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...(24) and Théodore and Panda (25) in cultures of T....
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...The highest b-1,3-glucanase production was obtained by Theódore and Panda (25) when Trichoderma harzianum was grown in glucose at 30 °C and at initial pH=4....
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1 citations
Cites methods from "Application of response surface met..."
...[17,18] RSM is a useful statistical method that uses a minimum of resources and quantitative data from the appropriate experimental design to determine and simultaneously solve a multivariate equation.[19] It usually uses an experimental design such as central composite or Box–Behnken Designs (BBD) to fit an empirical, full second-order polynomial model, which generally provides an adequate representation of the most continuous response surfaces over a relatively broad factor domain....
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