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dc.contributor.authorAbdelgalil, Soad A-
dc.contributor.authorAttia, Ahmed M-
dc.contributor.authorReyed, Reyed M-
dc.contributor.authorSoliman, Nadia A-
dc.contributor.authorEnshasy, Hesham A El-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.description.abstractA sequential optimization strategy based on statistical experimental designs was implemented in order to enhance laccase production by a local isolate Alcaligenes faecalis NYSO in a submerged culture. To screen the parameters significantly influencing the laccase productivity, a 2-level Plackett-Burman design was applied. Among the studied variables, the pH, yeast extract, (NH4)2SO4, glucose, and CuSO4.5H2O were selected based on their high positive significant effect on laccase productivity. In order to find out the combination among the most significant variables that brings maximum yield, Response Surface Methodology was applied, where a 3-level Box-Behnken design was utilized to create a polynomial quadratic model correlating the relationship between the five variables and the laccase productivity. The optimal combination of the major medium constituents for laccase production was evaluated using the JMP program, was as follows: yeast extract, 0.896%; (NH4)2SO4, 0.035%; CuSO4.5H2O, 0.0075%; FeSO4.7H2O, 0.000133%; glucose, 0.0943%, pH 10.6 and 30 oC for 24 hrs. The predicted optimum laccase activity was 791U ml-1 min-1, which was 700 times the activity with basal medium. In addition, the further optimization for both pH, CuSO4.5H2O concentration lead the yield to be 2435 U ml-1min at pH 11.0, 200 mg CuSO4.5H2O which achieved after 18 hrs incubation time.en_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.77(12) [December 2018]en_US
dc.subjectFractional Factorial Designen_US
dc.subjectResponse Surface Methodologyen_US
dc.subjectAlcaligenes faecalis NYSOen_US
dc.titleApplication of Experimental Designs for Optimization the Production of Alcaligenes Faecalis Nyso Laccaseen_US
Appears in Collections:JSIR Vol.77(12) [December 2018]

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