Cargando…
Response Surface Methodology: Optimisation of Antifungal Bioemulsifier from Novel Bacillus thuringiensis
An antifungal bioemulsifier compound was produced from a novel strain of Bacillus thuringiensis pak2310. To accentuate the production and as the first step to improve the yield, a central composite design (CCD) was used to study the effect of various factors like minimal salts (1X and 3X), glycerol...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213991/ https://www.ncbi.nlm.nih.gov/pubmed/25379529 http://dx.doi.org/10.1155/2014/423289 |
_version_ | 1782341896623882240 |
---|---|
author | Rajendran, Deepak Venkatachalam, Ponnusami Ramakrishnan, Jayapradha |
author_facet | Rajendran, Deepak Venkatachalam, Ponnusami Ramakrishnan, Jayapradha |
author_sort | Rajendran, Deepak |
collection | PubMed |
description | An antifungal bioemulsifier compound was produced from a novel strain of Bacillus thuringiensis pak2310. To accentuate the production and as the first step to improve the yield, a central composite design (CCD) was used to study the effect of various factors like minimal salts (1X and 3X), glycerol concentration (2% and 4%), beef extract concentration (1% and 3%), and sunflower oil concentration (2% and 4%) on the production of bioemulsifier molecule and to optimize the conditions to increase the production. The E (24) emulsification index was used as the response variable as the increase in surfactant production was seen to be proportional to increased emulsification. A quadratic equation was employed to express the response variable in terms of the independent variables. Statistical tools like student's t-test, F-test, and ANOVA were employed to identify the important factors and to test the adequacy of the model. Under optimum conditions (1X concentration of minimal salts (MS), 2.6% glycerol (v/v), 1% beef extract (w/v), and 2% sunflower oil (v/v)) a 65% increase in yield was produced. |
format | Online Article Text |
id | pubmed-4213991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-42139912014-11-06 Response Surface Methodology: Optimisation of Antifungal Bioemulsifier from Novel Bacillus thuringiensis Rajendran, Deepak Venkatachalam, Ponnusami Ramakrishnan, Jayapradha ScientificWorldJournal Research Article An antifungal bioemulsifier compound was produced from a novel strain of Bacillus thuringiensis pak2310. To accentuate the production and as the first step to improve the yield, a central composite design (CCD) was used to study the effect of various factors like minimal salts (1X and 3X), glycerol concentration (2% and 4%), beef extract concentration (1% and 3%), and sunflower oil concentration (2% and 4%) on the production of bioemulsifier molecule and to optimize the conditions to increase the production. The E (24) emulsification index was used as the response variable as the increase in surfactant production was seen to be proportional to increased emulsification. A quadratic equation was employed to express the response variable in terms of the independent variables. Statistical tools like student's t-test, F-test, and ANOVA were employed to identify the important factors and to test the adequacy of the model. Under optimum conditions (1X concentration of minimal salts (MS), 2.6% glycerol (v/v), 1% beef extract (w/v), and 2% sunflower oil (v/v)) a 65% increase in yield was produced. Hindawi Publishing Corporation 2014 2014-10-14 /pmc/articles/PMC4213991/ /pubmed/25379529 http://dx.doi.org/10.1155/2014/423289 Text en Copyright © 2014 Deepak Rajendran et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Rajendran, Deepak Venkatachalam, Ponnusami Ramakrishnan, Jayapradha Response Surface Methodology: Optimisation of Antifungal Bioemulsifier from Novel Bacillus thuringiensis |
title | Response Surface Methodology: Optimisation of Antifungal Bioemulsifier from Novel Bacillus thuringiensis
|
title_full | Response Surface Methodology: Optimisation of Antifungal Bioemulsifier from Novel Bacillus thuringiensis
|
title_fullStr | Response Surface Methodology: Optimisation of Antifungal Bioemulsifier from Novel Bacillus thuringiensis
|
title_full_unstemmed | Response Surface Methodology: Optimisation of Antifungal Bioemulsifier from Novel Bacillus thuringiensis
|
title_short | Response Surface Methodology: Optimisation of Antifungal Bioemulsifier from Novel Bacillus thuringiensis
|
title_sort | response surface methodology: optimisation of antifungal bioemulsifier from novel bacillus thuringiensis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213991/ https://www.ncbi.nlm.nih.gov/pubmed/25379529 http://dx.doi.org/10.1155/2014/423289 |
work_keys_str_mv | AT rajendrandeepak responsesurfacemethodologyoptimisationofantifungalbioemulsifierfromnovelbacillusthuringiensis AT venkatachalamponnusami responsesurfacemethodologyoptimisationofantifungalbioemulsifierfromnovelbacillusthuringiensis AT ramakrishnanjayapradha responsesurfacemethodologyoptimisationofantifungalbioemulsifierfromnovelbacillusthuringiensis |