Optimization of phenol degradation by Antarctic bacterium Rhodococcus sp.
Tengku-Mazuki, Tengku Athirrah; Subramaniam, Kavilasni; Zakaria, Nur Nadhirah; Convey, Peter ORCID: https://orcid.org/0000-0001-8497-9903; Abdul Khalil, Khalilah; Lee, Gillian Li Yin; Zulkharnain, Azham; Shaharuddin, Noor Azmi; Ahmad, Siti Aqlima. 2020 Optimization of phenol degradation by Antarctic bacterium Rhodococcus sp. Antarctic Science, 32 (6). 486-495. https://doi.org/10.1017/S0954102020000358
Full text not available from this repository. (Request a copy)Abstract/Summary
This study focused on the ability of the Antarctic bacterium Rhodococcus sp. strain AQ5-14 to survive exposure to and to degrade high concentrations of phenol at 0.5 g l-1. After initial evaluation of phenol-degrading performance, the effects of salinity, pH and temperature on the rate of phenol degradation were examined. The optimum conditions for phenol degradation were pH 7 and 0.4 g l-1 NaCl at a temperature of 25°C (83.90%). An analysis using response surface methodology (RSM) and the Plackett-Burman design identified salinity, pH and temperature as three statistically significant factors influencing phenol degradation. The maximum bacterial growth was observed (optical density at 600 nm = 0.455), with medium conditions of pH 6.5, 22.5°C and 0.47 g l-1 NaCl in the central composite design of the RSM experiments enhancing phenol degradation to 99.10%. A central composite design was then used to examine the interactions among these three variables and to determine their optimal levels. There was excellent agreement (R2 = 0.9785) between experimental and predicted values, with less strong but still good agreement (R2 = 0.8376) between the predicted model values and those obtained experimentally under optimized conditions. Rhodococcus sp. strain AQ5-14 has excellent potential for the bioremediation of phenol.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | https://doi.org/10.1017/S0954102020000358 |
ISSN: | 0954-1020 |
Additional Keywords: | bioremediation, one-factor-at-a-time, response surface methodology |
Date made live: | 10 Sep 2020 09:55 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/528451 |
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