Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an Antarctic bacterial consortium using response surface methodology
An Antarctic soil bacterial consortium (reference BS14) was confirmed to biodegrade canola oil, and kinetic studies on this biodegradation were carried out. The purpose of this study was to examine the ability of BS14 to produce biosurfactants during the biodegradation of canola oil. Secondary mathe...
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ftnerc:oai:nora.nerc.ac.uk:530875 2023-05-15T13:41:46+02:00 Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an Antarctic bacterial consortium using response surface methodology Zahri, K.N.M. Khalil, K.A. Gomez-Fuentes, C. Zulkharnain, A. Sabri, S. Convey, P. Lim, S. Ahmad, S.A. 2021-11-14 text http://nora.nerc.ac.uk/id/eprint/530875/ https://nora.nerc.ac.uk/id/eprint/530875/1/foods-10-02801-v4.pdf https://www.mdpi.com/2304-8158/10/11/2801 en eng MDPI https://nora.nerc.ac.uk/id/eprint/530875/1/foods-10-02801-v4.pdf Zahri, K.N.M.; Khalil, K.A.; Gomez-Fuentes, C.; Zulkharnain, A.; Sabri, S.; Convey, P. orcid:0000-0001-8497-9903 Lim, S.; Ahmad, S.A. 2021 Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an Antarctic bacterial consortium using response surface methodology. Foods, 10 (11), 2801. 22, pp. https://doi.org/10.3390/foods10112801 <https://doi.org/10.3390/foods10112801> cc_by_4 CC-BY Publication - Article PeerReviewed 2021 ftnerc https://doi.org/10.3390/foods10112801 2023-02-04T19:52:28Z An Antarctic soil bacterial consortium (reference BS14) was confirmed to biodegrade canola oil, and kinetic studies on this biodegradation were carried out. The purpose of this study was to examine the ability of BS14 to produce biosurfactants during the biodegradation of canola oil. Secondary mathematical equations were chosen for kinetic analyses (Monod, Haldane, Teissier–Edwards, Aiba and Yano models). At the same time, biosurfactant production was confirmed through a preliminary screening test and further optimised using response surface methodology (RSM). Mathematical modelling demonstrated that the best-fitting model was the Haldane model for both waste (WCO) and pure canola oil (PCO) degradation. Kinetic parameters including the maximum degradation rate (μmax) and maximum concentration of substrate tolerated (Sm) were obtained. For WCO degradation these were 0.365 min−1 and 0.308%, respectively, while for PCO they were 0.307 min−1 and 0.591%, respectively. The results of all preliminary screenings for biosurfactants were positive. BS14 was able to produce biosurfactant concentrations of up to 13.44 and 14.06 mg/mL in the presence of WCO and PCO, respectively, after optimisation. The optimum values for each factor were determined using a three-dimensional contour plot generated in a central composite design, where a combination of 0.06% salinity, pH 7.30 and 1.55% initial substrate concentration led to the highest biosurfactant production when using WCO. Using PCO, the highest biosurfactant yield was obtained at 0.13% salinity, pH 7.30 and 1.25% initial substrate concentration. This study could help inform the development of large-scale bioremediation applications, not only for the degradation of canola oil but also of other hydrocarbons in the Antarctic by utilising the biosurfactants produced by BS14. Article in Journal/Newspaper Antarc* Antarctic Natural Environment Research Council: NERC Open Research Archive Antarctic The Antarctic Foods 10 11 2801 |
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Open Polar |
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Natural Environment Research Council: NERC Open Research Archive |
op_collection_id |
ftnerc |
language |
English |
description |
An Antarctic soil bacterial consortium (reference BS14) was confirmed to biodegrade canola oil, and kinetic studies on this biodegradation were carried out. The purpose of this study was to examine the ability of BS14 to produce biosurfactants during the biodegradation of canola oil. Secondary mathematical equations were chosen for kinetic analyses (Monod, Haldane, Teissier–Edwards, Aiba and Yano models). At the same time, biosurfactant production was confirmed through a preliminary screening test and further optimised using response surface methodology (RSM). Mathematical modelling demonstrated that the best-fitting model was the Haldane model for both waste (WCO) and pure canola oil (PCO) degradation. Kinetic parameters including the maximum degradation rate (μmax) and maximum concentration of substrate tolerated (Sm) were obtained. For WCO degradation these were 0.365 min−1 and 0.308%, respectively, while for PCO they were 0.307 min−1 and 0.591%, respectively. The results of all preliminary screenings for biosurfactants were positive. BS14 was able to produce biosurfactant concentrations of up to 13.44 and 14.06 mg/mL in the presence of WCO and PCO, respectively, after optimisation. The optimum values for each factor were determined using a three-dimensional contour plot generated in a central composite design, where a combination of 0.06% salinity, pH 7.30 and 1.55% initial substrate concentration led to the highest biosurfactant production when using WCO. Using PCO, the highest biosurfactant yield was obtained at 0.13% salinity, pH 7.30 and 1.25% initial substrate concentration. This study could help inform the development of large-scale bioremediation applications, not only for the degradation of canola oil but also of other hydrocarbons in the Antarctic by utilising the biosurfactants produced by BS14. |
format |
Article in Journal/Newspaper |
author |
Zahri, K.N.M. Khalil, K.A. Gomez-Fuentes, C. Zulkharnain, A. Sabri, S. Convey, P. Lim, S. Ahmad, S.A. |
spellingShingle |
Zahri, K.N.M. Khalil, K.A. Gomez-Fuentes, C. Zulkharnain, A. Sabri, S. Convey, P. Lim, S. Ahmad, S.A. Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an Antarctic bacterial consortium using response surface methodology |
author_facet |
Zahri, K.N.M. Khalil, K.A. Gomez-Fuentes, C. Zulkharnain, A. Sabri, S. Convey, P. Lim, S. Ahmad, S.A. |
author_sort |
Zahri, K.N.M. |
title |
Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an Antarctic bacterial consortium using response surface methodology |
title_short |
Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an Antarctic bacterial consortium using response surface methodology |
title_full |
Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an Antarctic bacterial consortium using response surface methodology |
title_fullStr |
Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an Antarctic bacterial consortium using response surface methodology |
title_full_unstemmed |
Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an Antarctic bacterial consortium using response surface methodology |
title_sort |
mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an antarctic bacterial consortium using response surface methodology |
publisher |
MDPI |
publishDate |
2021 |
url |
http://nora.nerc.ac.uk/id/eprint/530875/ https://nora.nerc.ac.uk/id/eprint/530875/1/foods-10-02801-v4.pdf https://www.mdpi.com/2304-8158/10/11/2801 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://nora.nerc.ac.uk/id/eprint/530875/1/foods-10-02801-v4.pdf Zahri, K.N.M.; Khalil, K.A.; Gomez-Fuentes, C.; Zulkharnain, A.; Sabri, S.; Convey, P. orcid:0000-0001-8497-9903 Lim, S.; Ahmad, S.A. 2021 Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an Antarctic bacterial consortium using response surface methodology. Foods, 10 (11), 2801. 22, pp. https://doi.org/10.3390/foods10112801 <https://doi.org/10.3390/foods10112801> |
op_rights |
cc_by_4 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/foods10112801 |
container_title |
Foods |
container_volume |
10 |
container_issue |
11 |
container_start_page |
2801 |
_version_ |
1766157553681563648 |