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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| Format: | Article |
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MDPI
2021
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| _version_ | 1825937403102101504 |
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| author | Mohd Zahri, Khadijah Nabilah Abdul Khalil, Khalilah Abdul Khalil Gomez-Fuentes, Claudio Zulkharnain, Azham Sabri, Suriana Convey, Peter Lim, Sooa Ahmad, Siti Aqlima |
| author_facet | Mohd Zahri, Khadijah Nabilah Abdul Khalil, Khalilah Abdul Khalil Gomez-Fuentes, Claudio Zulkharnain, Azham Sabri, Suriana Convey, Peter Lim, Sooa Ahmad, Siti Aqlima |
| author_sort | Mohd Zahri, Khadijah Nabilah |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T10:58:58Z |
| format | Article |
| id | upm.eprints-94104 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T10:58:58Z |
| publishDate | 2021 |
| publisher | MDPI |
| record_format | dspace |
| spelling | upm.eprints-941042023-05-23T02:38:50Z http://psasir.upm.edu.my/id/eprint/94104/ Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an antarctic bacterial consortium using response surface methodology Mohd Zahri, Khadijah Nabilah Abdul Khalil, Khalilah Abdul Khalil Gomez-Fuentes, Claudio Zulkharnain, Azham Sabri, Suriana Convey, Peter Lim, Sooa Ahmad, Siti Aqlima 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. MDPI 2021-11-14 Article PeerReviewed Mohd Zahri, Khadijah Nabilah and Abdul Khalil, Khalilah Abdul Khalil and Gomez-Fuentes, Claudio and Zulkharnain, Azham and Sabri, Suriana and Convey, Peter and Lim, Sooa and Ahmad, Siti Aqlima (2021) Mathematical modelling of canola oil biodegradation and optimisation of biosurfactant production by an antarctic bacterial consortium using response surface methodology. Foods, 10 (11). art. no. 2801. pp. 1-22. ISSN 2304-8158 https://www.mdpi.com/2304-8158/10/11/2801 10.3390/foods10112801 |
| spellingShingle | Mohd Zahri, Khadijah Nabilah Abdul Khalil, Khalilah Abdul Khalil Gomez-Fuentes, Claudio Zulkharnain, Azham Sabri, Suriana Convey, Peter Lim, Sooa Ahmad, Siti Aqlima 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 |
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