The use of response surface methodology as a statistical tool for the optimisation of the waste and pure canola oil biodegradation by Antarctic Soil bacteria

Hydrocarbons can cause pollution to Antarctic terrestrial and aquatic ecosystems, both through accidental release and the discharge of waste cooking oil in grey water. Such pollutants can persist for long periods in cold environments. The native microbial community may play a role in their biodegrad...

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Main Authors: Mohd Zahri, Khadijah Nabilah, Zulkharnain, Azham, Gomez-Fuentes, Claudio, Sabri, Suriana, Abdul Khalil, Khalilah, Convey, Peter, Ahmad, Siti Aqlima
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Online Access:http://psasir.upm.edu.my/id/eprint/93360/1/The%20use%20of%20response%20surface%20methodology.pdf
http://psasir.upm.edu.my/id/eprint/93360/
https://www.mdpi.com/2075-1729/11/5/456
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spelling my.upm.eprints.933602022-11-22T08:46:20Z http://psasir.upm.edu.my/id/eprint/93360/ The use of response surface methodology as a statistical tool for the optimisation of the waste and pure canola oil biodegradation by Antarctic Soil bacteria Mohd Zahri, Khadijah Nabilah Zulkharnain, Azham Gomez-Fuentes, Claudio Sabri, Suriana Abdul Khalil, Khalilah Convey, Peter Ahmad, Siti Aqlima Hydrocarbons can cause pollution to Antarctic terrestrial and aquatic ecosystems, both through accidental release and the discharge of waste cooking oil in grey water. Such pollutants can persist for long periods in cold environments. The native microbial community may play a role in their biodegradation. In this study, using mixed native Antarctic bacterial communities, several environmental factors influencing biodegradation of waste canola oil (WCO) and pure canola oil (PCO) were optimised using established one-factor-at-a-time (OFAT) and response surface methodology (RSM) approaches. The factors include salinity, pH, type of nitrogen and concentration, temperature, yeast extract and initial substrate concentration in OFAT and only the significant factors proceeded for the statistical optimisation through RSM. High concentration of substrate targeted for degradation activity through RSM compared to OFAT method. As for the result, all factors were significant in PBD, while only 4 factors were significant in biodegradation of PCO (pH, nitrogen concentration, yeast extract and initial substrate concentration). Using OFAT, the most effective microbial community examined was able to degrade 94.42% and 86.83% (from an initial concentration of 0.5% (v/v)) of WCO and PCO, respectively, within 7 days. Using RSM, 94.99% and 79.77% degradation of WCO and PCO was achieved in 6 days. The significant interaction for the RSM in biodegradation activity between temperature and WCO concentration in WCO media were exhibited. Meanwhile, in biodegradation of PCO the significant factors were between (1) pH and PCO concentration, (2) nitrogen concentration and yeast extract, (3) nitrogen concentration and PCO concentration. The models for the RSM were validated for both WCO and PCO media and it showed no significant difference between experimental and predicted values. The efficiency of canola oil biodegradation achieved in this study provides support for the development of practical strategies for efficient bioremediation in the Antarctic environment. Multidisciplinary Digital Publishing Institute 2021-05-20 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/93360/1/The%20use%20of%20response%20surface%20methodology.pdf Mohd Zahri, Khadijah Nabilah and Zulkharnain, Azham and Gomez-Fuentes, Claudio and Sabri, Suriana and Abdul Khalil, Khalilah and Convey, Peter and Ahmad, Siti Aqlima (2021) The use of response surface methodology as a statistical tool for the optimisation of the waste and pure canola oil biodegradation by Antarctic Soil bacteria. Life-Basel, 11 (5). art. no. 456. pp. 1-25. ISSN 2075-1729 https://www.mdpi.com/2075-1729/11/5/456 10.3390/life11050456
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Hydrocarbons can cause pollution to Antarctic terrestrial and aquatic ecosystems, both through accidental release and the discharge of waste cooking oil in grey water. Such pollutants can persist for long periods in cold environments. The native microbial community may play a role in their biodegradation. In this study, using mixed native Antarctic bacterial communities, several environmental factors influencing biodegradation of waste canola oil (WCO) and pure canola oil (PCO) were optimised using established one-factor-at-a-time (OFAT) and response surface methodology (RSM) approaches. The factors include salinity, pH, type of nitrogen and concentration, temperature, yeast extract and initial substrate concentration in OFAT and only the significant factors proceeded for the statistical optimisation through RSM. High concentration of substrate targeted for degradation activity through RSM compared to OFAT method. As for the result, all factors were significant in PBD, while only 4 factors were significant in biodegradation of PCO (pH, nitrogen concentration, yeast extract and initial substrate concentration). Using OFAT, the most effective microbial community examined was able to degrade 94.42% and 86.83% (from an initial concentration of 0.5% (v/v)) of WCO and PCO, respectively, within 7 days. Using RSM, 94.99% and 79.77% degradation of WCO and PCO was achieved in 6 days. The significant interaction for the RSM in biodegradation activity between temperature and WCO concentration in WCO media were exhibited. Meanwhile, in biodegradation of PCO the significant factors were between (1) pH and PCO concentration, (2) nitrogen concentration and yeast extract, (3) nitrogen concentration and PCO concentration. The models for the RSM were validated for both WCO and PCO media and it showed no significant difference between experimental and predicted values. The efficiency of canola oil biodegradation achieved in this study provides support for the development of practical strategies for efficient bioremediation in the Antarctic environment.
format Article
author Mohd Zahri, Khadijah Nabilah
Zulkharnain, Azham
Gomez-Fuentes, Claudio
Sabri, Suriana
Abdul Khalil, Khalilah
Convey, Peter
Ahmad, Siti Aqlima
spellingShingle Mohd Zahri, Khadijah Nabilah
Zulkharnain, Azham
Gomez-Fuentes, Claudio
Sabri, Suriana
Abdul Khalil, Khalilah
Convey, Peter
Ahmad, Siti Aqlima
The use of response surface methodology as a statistical tool for the optimisation of the waste and pure canola oil biodegradation by Antarctic Soil bacteria
author_facet Mohd Zahri, Khadijah Nabilah
Zulkharnain, Azham
Gomez-Fuentes, Claudio
Sabri, Suriana
Abdul Khalil, Khalilah
Convey, Peter
Ahmad, Siti Aqlima
author_sort Mohd Zahri, Khadijah Nabilah
title The use of response surface methodology as a statistical tool for the optimisation of the waste and pure canola oil biodegradation by Antarctic Soil bacteria
title_short The use of response surface methodology as a statistical tool for the optimisation of the waste and pure canola oil biodegradation by Antarctic Soil bacteria
title_full The use of response surface methodology as a statistical tool for the optimisation of the waste and pure canola oil biodegradation by Antarctic Soil bacteria
title_fullStr The use of response surface methodology as a statistical tool for the optimisation of the waste and pure canola oil biodegradation by Antarctic Soil bacteria
title_full_unstemmed The use of response surface methodology as a statistical tool for the optimisation of the waste and pure canola oil biodegradation by Antarctic Soil bacteria
title_sort use of response surface methodology as a statistical tool for the optimisation of the waste and pure canola oil biodegradation by antarctic soil bacteria
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/93360/1/The%20use%20of%20response%20surface%20methodology.pdf
http://psasir.upm.edu.my/id/eprint/93360/
https://www.mdpi.com/2075-1729/11/5/456
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