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 Authors: Khadijah Nabilah Mohd Zahri, Khalilah Abdul Khalil, Claudio Gomez-Fuentes, Azham Zulkharnain, Suriana Sabri, Peter Convey, Sooa Lim, Siti Aqlima Ahmad
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
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Online Access:https://doi.org/10.3390/foods10112801
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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
collection MDPI Open Access Publishing
container_issue 11
container_start_page 2801
container_title Foods
container_volume 10
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.
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spelling ftmdpi:oai:mdpi.com:/2304-8158/10/11/2801/ 2025-01-16T19:39:09+00:00 Mathematical Modelling of Canola Oil Biodegradation and Optimisation of Biosurfactant Production by an Antarctic Bacterial Consortium Using Response Surface Methodology Khadijah Nabilah Mohd Zahri Khalilah Abdul Khalil Claudio Gomez-Fuentes Azham Zulkharnain Suriana Sabri Peter Convey Sooa Lim Siti Aqlima Ahmad agris 2021-11-14 application/pdf https://doi.org/10.3390/foods10112801 EN eng Multidisciplinary Digital Publishing Institute Food Security and Sustainability https://dx.doi.org/10.3390/foods10112801 https://creativecommons.org/licenses/by/4.0/ Foods; Volume 10; Issue 11; Pages: 2801 kinetic modelling canola oil degradation biosurfactant Antarctic bacteria central composite design Text 2021 ftmdpi https://doi.org/10.3390/foods10112801 2023-08-01T03:14:57Z 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. Text Antarc* Antarctic MDPI Open Access Publishing Antarctic The Antarctic Foods 10 11 2801
spellingShingle kinetic modelling
canola oil
degradation
biosurfactant
Antarctic bacteria
central composite design
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
title 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_short 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
topic kinetic modelling
canola oil
degradation
biosurfactant
Antarctic bacteria
central composite design
topic_facet kinetic modelling
canola oil
degradation
biosurfactant
Antarctic bacteria
central composite design
url https://doi.org/10.3390/foods10112801