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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Autores principales:	Khadijah Nabilah Mohd Zahri, Khalilah Abdul Khalil, Claudio Gomez-Fuentes, Azham Zulkharnain, Suriana Sabri, Peter Convey, Sooa Lim, Siti Aqlima Ahmad
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	kinetic modelling canola oil degradation biosurfactant Antarctic bacteria central composite design Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/c52b29b0945845fab30535218aaca2c9
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spelling	oai:doaj.org-article:c52b29b0945845fab30535218aaca2c92021-11-25T17:35:47ZMathematical Modelling of Canola Oil Biodegradation and Optimisation of Biosurfactant Production by an Antarctic Bacterial Consortium Using Response Surface Methodology10.3390/foods101128012304-8158https://doaj.org/article/c52b29b0945845fab30535218aaca2c92021-11-01T00:00:00Zhttps://www.mdpi.com/2304-8158/10/11/2801https://doaj.org/toc/2304-8158An 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 (<i>μ<sub>max</sub></i>) and maximum concentration of substrate tolerated (<i>S<sub>m</sub></i>) were obtained. For WCO degradation these were 0.365 min<sup>−1</sup> and 0.308%, respectively, while for PCO they were 0.307 min<sup>−1</sup> 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.Khadijah Nabilah Mohd ZahriKhalilah Abdul KhalilClaudio Gomez-FuentesAzham ZulkharnainSuriana SabriPeter ConveySooa LimSiti Aqlima AhmadMDPI AGarticlekinetic modellingcanola oildegradationbiosurfactantAntarctic bacteriacentral composite designChemical technologyTP1-1185ENFoods, Vol 10, Iss 2801, p 2801 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	kinetic modelling canola oil degradation biosurfactant Antarctic bacteria central composite design Chemical technology TP1-1185
spellingShingle	kinetic modelling canola oil degradation biosurfactant Antarctic bacteria central composite design Chemical technology TP1-1185 Khadijah Nabilah Mohd Zahri Khalilah Abdul Khalil Claudio Gomez-Fuentes Azham Zulkharnain Suriana Sabri Peter Convey Sooa Lim Siti Aqlima Ahmad Mathematical Modelling of Canola Oil Biodegradation and Optimisation of Biosurfactant Production by an Antarctic Bacterial Consortium Using Response Surface Methodology
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 (<i>μ<sub>max</sub></i>) and maximum concentration of substrate tolerated (<i>S<sub>m</sub></i>) were obtained. For WCO degradation these were 0.365 min<sup>−1</sup> and 0.308%, respectively, while for PCO they were 0.307 min<sup>−1</sup> 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
author	Khadijah Nabilah Mohd Zahri Khalilah Abdul Khalil Claudio Gomez-Fuentes Azham Zulkharnain Suriana Sabri Peter Convey Sooa Lim Siti Aqlima Ahmad
author_facet	Khadijah Nabilah Mohd Zahri Khalilah Abdul Khalil Claudio Gomez-Fuentes Azham Zulkharnain Suriana Sabri Peter Convey Sooa Lim Siti Aqlima Ahmad
author_sort	Khadijah Nabilah Mohd Zahri
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 AG
publishDate	2021
url	https://doaj.org/article/c52b29b0945845fab30535218aaca2c9
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Mathematical Modelling of Canola Oil Biodegradation and Optimisation of Biosurfactant Production by an Antarctic Bacterial Consortium Using Response Surface Methodology

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