OPTIMIZATION OF MALACHITE GREEN DECOLORIZATION USING ACHROMOBACTER AEGRIFACIENS BY RESPONSE SURFACE METHODOLOGY AND CENTRAL COMPOSITE DESIGN
Chinmayi Amaranath .
Abstract
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Chinmayi Amaranath .
Abstract
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In the present study, optimization of malachite green using Achromobacter aegrifaciens was carried out by response surface methodology and central composite design.Tryptone, glucose, dye concentration and pH were selected for the study based on the results obtained by One-factor-at-a-time and Plackett-Burman design.Optimization by RSM was carried out with 30 runs.Response in terms of percent decolorization was subjected to ANOVA.The results obtained say that the model is significant.All the four factors as individual and a combination of tryptone and dye, tryptone and pH and dye and pH were found to be significant model terms.Decolorization of Malachite green under optimized condition showed that the organism could tolerate higher concentration of the dye.Upto 95% decolorization of the dye was observed at 3500 g/ml concentration.
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In the present study, optimization of malachite green using Achromobacter aegrifaciens was carried out by response surface methodology and central composite design.Tryptone, glucose, dye concentration and pH were selected for the study based on the results obtained by One-factor-at-a-time and Plackett-Burman design.Optimization by RSM was carried out with 30 runs.Response in terms of percent decolorization was subjected to ANOVA.The results obtained say that the model is significant.All the four factors as individual and a combination of tryptone and dye, tryptone and pH and dye and pH were found to be significant model terms.Decolorization of Malachite green under optimized condition showed that the organism could tolerate higher concentration of the dye.Upto 95% decolorization of the dye was observed at 3500 g/ml concentration.
Key concepts: Malachite green, Central composite design, Response surface methodology, Composite number, Achromobacter, Materials science, Chemistry, Composite material