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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Brazilian Society of Microbiology
2013
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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. |
format | Online Article Text |
id | pubmed-3804205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Brazilian Society of Microbiology |
record_format | MEDLINE/PubMed |
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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