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Optimization of carboxymethylcellulase production from Bacillus amyloliquefaciens SS35
In this paper, we have attempted optimization of production of enzyme carboxymethylcellulase or endoglucanase from the bacterium Bacillus amyloliquefaciens SS35. Optimization has been carried out in two stages using statistical experimental design, viz. medium optimization and optimization of fermen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145630/ https://www.ncbi.nlm.nih.gov/pubmed/28324477 http://dx.doi.org/10.1007/s13205-013-0169-6 |
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author | Singh, Shuchi Moholkar, Vijayanand S. Goyal, Arun |
author_facet | Singh, Shuchi Moholkar, Vijayanand S. Goyal, Arun |
author_sort | Singh, Shuchi |
collection | PubMed |
description | In this paper, we have attempted optimization of production of enzyme carboxymethylcellulase or endoglucanase from the bacterium Bacillus amyloliquefaciens SS35. Optimization has been carried out in two stages using statistical experimental design, viz. medium optimization and optimization of fermentation parameters. For medium optimization, Plackett–Burman design followed by central composite design (CCD) was used, while for optimization of fermentation parameters one-variable-at-a-time method followed by CCD was used. Carbon and nitrogen sources in the medium have been revealed to be the significant factors for enzyme production (carboxymethylcellulose 18.05 g/L; yeast extract 8 g/L and peptone 2 g/L). The inorganic salts have been found to be insignificant components of medium. Optimum fermentation parameters for optimized medium were: initial medium pH 5.65, incubation temperature = 40 °C, shaking speed = 120 rpm, and inoculum size = 6.96 %, v/v. Interestingly, the influence of all four parameters was almost independent with no interlinks. Secondly, the overall effect of all parameters was also low, as indicated by linear, square and interaction regression coefficients that were at least one order of magnitude lower than the intercept in the model equation. These results essentially meant that medium components dominate overall enzyme production process in comparison to fermentation parameters. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13205-013-0169-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4145630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-41456302014-08-29 Optimization of carboxymethylcellulase production from Bacillus amyloliquefaciens SS35 Singh, Shuchi Moholkar, Vijayanand S. Goyal, Arun 3 Biotech Original Article In this paper, we have attempted optimization of production of enzyme carboxymethylcellulase or endoglucanase from the bacterium Bacillus amyloliquefaciens SS35. Optimization has been carried out in two stages using statistical experimental design, viz. medium optimization and optimization of fermentation parameters. For medium optimization, Plackett–Burman design followed by central composite design (CCD) was used, while for optimization of fermentation parameters one-variable-at-a-time method followed by CCD was used. Carbon and nitrogen sources in the medium have been revealed to be the significant factors for enzyme production (carboxymethylcellulose 18.05 g/L; yeast extract 8 g/L and peptone 2 g/L). The inorganic salts have been found to be insignificant components of medium. Optimum fermentation parameters for optimized medium were: initial medium pH 5.65, incubation temperature = 40 °C, shaking speed = 120 rpm, and inoculum size = 6.96 %, v/v. Interestingly, the influence of all four parameters was almost independent with no interlinks. Secondly, the overall effect of all parameters was also low, as indicated by linear, square and interaction regression coefficients that were at least one order of magnitude lower than the intercept in the model equation. These results essentially meant that medium components dominate overall enzyme production process in comparison to fermentation parameters. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13205-013-0169-6) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2013-09-06 2014-08 /pmc/articles/PMC4145630/ /pubmed/28324477 http://dx.doi.org/10.1007/s13205-013-0169-6 Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ This article is published under license to BioMed Central Ltd. Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Original Article Singh, Shuchi Moholkar, Vijayanand S. Goyal, Arun Optimization of carboxymethylcellulase production from Bacillus amyloliquefaciens SS35 |
title | Optimization of carboxymethylcellulase production from Bacillus amyloliquefaciens SS35 |
title_full | Optimization of carboxymethylcellulase production from Bacillus amyloliquefaciens SS35 |
title_fullStr | Optimization of carboxymethylcellulase production from Bacillus amyloliquefaciens SS35 |
title_full_unstemmed | Optimization of carboxymethylcellulase production from Bacillus amyloliquefaciens SS35 |
title_short | Optimization of carboxymethylcellulase production from Bacillus amyloliquefaciens SS35 |
title_sort | optimization of carboxymethylcellulase production from bacillus amyloliquefaciens ss35 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145630/ https://www.ncbi.nlm.nih.gov/pubmed/28324477 http://dx.doi.org/10.1007/s13205-013-0169-6 |
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