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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Published in:Foods
Main Author: Zahri K.N.M.; Khalil K.A.; Gomez-Fuentes C.; Zulkharnain A.; Sabri S.; Convey P.; Lim S.; Ahmad S.A.
Format: Article
Language:English
Published: MDPI 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119372778&doi=10.3390%2ffoods10112801&partnerID=40&md5=6b9f0e4987aeb38cddcc92c44e1b9d37
id 2-s2.0-85119372778
spelling 2-s2.0-85119372778
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
2021
Foods
10
11
10.3390/foods10112801
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119372778&doi=10.3390%2ffoods10112801&partnerID=40&md5=6b9f0e4987aeb38cddcc92c44e1b9d37
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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
MDPI
23048158
English
Article
All Open Access; Gold Open Access
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.; Khalil K.A.; Gomez-Fuentes C.; Zulkharnain A.; Sabri S.; Convey P.; Lim S.; Ahmad S.A.
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
publishDate 2021
container_title Foods
container_volume 10
container_issue 11
doi_str_mv 10.3390/foods10112801
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119372778&doi=10.3390%2ffoods10112801&partnerID=40&md5=6b9f0e4987aeb38cddcc92c44e1b9d37
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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
publisher MDPI
issn 23048158
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
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