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Computation of interactive effects and optimization of process parameters for alkaline lipase production by mutant strain of Pseudomonas aeruginosa using response surface methodology

Alkaline lipase production by mutant strain of Pseudomonas aeruginosa MTCC 10,055 was optimized in shake flask batch fermentation using response surface methodology. An empirical model was developed through Box-Behnken experimental design to describe the relationship among tested variables (pH, temp...

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Detalles Bibliográficos
Autores principales: Bisht, Deepali, Yadav, Santosh Kumar, Darmwal, Nandan Singh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Brazilian Society of Microbiology 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3804205/
https://www.ncbi.nlm.nih.gov/pubmed/24159311
http://dx.doi.org/10.1590/S1517-83822013005000016
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author Bisht, Deepali
Yadav, Santosh Kumar
Darmwal, Nandan Singh
author_facet Bisht, Deepali
Yadav, Santosh Kumar
Darmwal, Nandan Singh
author_sort Bisht, Deepali
collection PubMed
description Alkaline lipase production by mutant strain of Pseudomonas aeruginosa MTCC 10,055 was optimized in shake flask batch fermentation using response surface methodology. An empirical model was developed through Box-Behnken experimental design to describe the relationship among tested variables (pH, temperature, castor oil, starch and triton-X-100). The second-order quadratic model determined the optimum conditions as castor oil, 1.77 mL.L(−1); starch, 15.0 g.L(−1); triton-X-100, 0.93 mL.L(−1); incubation temperature, 34.12 °C and pH 8.1 resulting into maximum alkaline lipase production (3142.57 U.mL(−1)). The quadratic model was in satisfactory adjustment with the experimental data as evidenced by a high coefficient of determination (R(2)) value (0.9987). The RSM facilitated the analysis and interpretation of experimental data to ascertain the optimum conditions of the variables for the process and recognized the contribution of individual variables to assess the response under optimal conditions. Hence Box-Behnken approach could fruitfully be applied for process optimization.
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spelling pubmed-38042052013-10-24 Computation of interactive effects and optimization of process parameters for alkaline lipase production by mutant strain of Pseudomonas aeruginosa using response surface methodology Bisht, Deepali Yadav, Santosh Kumar Darmwal, Nandan Singh Braz J Microbiol Research Paper Alkaline lipase production by mutant strain of Pseudomonas aeruginosa MTCC 10,055 was optimized in shake flask batch fermentation using response surface methodology. An empirical model was developed through Box-Behnken experimental design to describe the relationship among tested variables (pH, temperature, castor oil, starch and triton-X-100). The second-order quadratic model determined the optimum conditions as castor oil, 1.77 mL.L(−1); starch, 15.0 g.L(−1); triton-X-100, 0.93 mL.L(−1); incubation temperature, 34.12 °C and pH 8.1 resulting into maximum alkaline lipase production (3142.57 U.mL(−1)). The quadratic model was in satisfactory adjustment with the experimental data as evidenced by a high coefficient of determination (R(2)) value (0.9987). The RSM facilitated the analysis and interpretation of experimental data to ascertain the optimum conditions of the variables for the process and recognized the contribution of individual variables to assess the response under optimal conditions. Hence Box-Behnken approach could fruitfully be applied for process optimization. Brazilian Society of Microbiology 2013-04-09 /pmc/articles/PMC3804205/ /pubmed/24159311 http://dx.doi.org/10.1590/S1517-83822013005000016 Text en Copyright © 2013, Sociedade Brasileira de Microbiologia All the content of the journal, except where otherwise noted, is licensed under a Creative Commons License CC BY-NC.
spellingShingle Research Paper
Bisht, Deepali
Yadav, Santosh Kumar
Darmwal, Nandan Singh
Computation of interactive effects and optimization of process parameters for alkaline lipase production by mutant strain of Pseudomonas aeruginosa using response surface methodology
title Computation of interactive effects and optimization of process parameters for alkaline lipase production by mutant strain of Pseudomonas aeruginosa using response surface methodology
title_full Computation of interactive effects and optimization of process parameters for alkaline lipase production by mutant strain of Pseudomonas aeruginosa using response surface methodology
title_fullStr Computation of interactive effects and optimization of process parameters for alkaline lipase production by mutant strain of Pseudomonas aeruginosa using response surface methodology
title_full_unstemmed Computation of interactive effects and optimization of process parameters for alkaline lipase production by mutant strain of Pseudomonas aeruginosa using response surface methodology
title_short Computation of interactive effects and optimization of process parameters for alkaline lipase production by mutant strain of Pseudomonas aeruginosa using response surface methodology
title_sort computation of interactive effects and optimization of process parameters for alkaline lipase production by mutant strain of pseudomonas aeruginosa using response surface methodology
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3804205/
https://www.ncbi.nlm.nih.gov/pubmed/24159311
http://dx.doi.org/10.1590/S1517-83822013005000016
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