The Use of Response Surface Methodology as a Statistical Tool for the Optimisation of Waste and Pure Canola Oil Biodegradation by Antarctic Soil Bacteria

Hydrocarbons can cause pollution to Antarctic terrestrial and aquatic ecosystems, both through accidental release the discharge of waste cooking oil in grey water. Such pollutants persist for long periods cold environments. The native microbial community may play a role their biodegradation. In this study, using mixed bacterial communities, several environmental factors influencing biodegradation canola (WCO) pure (PCO) were optimised established one-factor-at-a-time (OFAT) response surface methodology (RSM) approaches. include salinity, pH, type nitrogen concentration, temperature, yeast extract initial substrate concentration OFAT only significant proceeded statistical optimisation RSM. High targeted degradation activity RSM compared method. As result, all PBD, while 4 PCO (pH, concentration). Using OFAT, most effective examined was able degrade 94.42% 86.83% (from an 0.5% (v/v)) WCO PCO, respectively, within 7 days. RSM, 94.99% 79.77% achieved 6 interaction between temperature media exhibited. Meanwhile, (1) pH (2) extract, (3) concentration. models validated it showed no difference experimental predicted values. efficiency study provides support development practical strategies efficient bioremediation environment.