Optimization of biomass and biokinetic constant in Mazut biodegradation by indigenous bacteria BBRC10061

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• 作者：Alireza Chackoshian Khorasani…
• 关键词：Optimization ; Biosystem ; Biodegradation ; Kinetics ; Native bacteria ; Enterobacter cloacae
• 刊名：Journal of Environmental Health Science and Engineering
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：12
• 期：1
• 全文大小：757 KB
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• 刊物主题：Environmental Health; Environmental Engineering/Biotechnology; Waste Management/Waste Technology; Environmental Law/Policy/Ecojustice; Environmental Economics; Quality of Life Research;
• 出版者：BioMed Central
• ISSN：2052-336X

文摘

Optimization based on appropriate parameters can be applied to improve a process. Mazut degradation as a critical issue in environment requires optimization to be efficiently done. To provide biodegradation conditions, experiments were designed on the least interactions among levels of parameters consisting of pH, Tween 80, glucose, phosphorous source, nitrogen source, and time. Kinetic constants and biomass were calculated based on 16 assays, designed using Taguchi method, which constructed various mazut biodegradation conditions. Kinetics of mazut degradation by newly isolated bacteria Enterobacter cloacae closely followed second order kinetic model. Results of the 16 experiments showed that biomass was in the range of 0.019 OD600 to 2.75 OD600, and biokinetic constant was in the range of 0.2?×-0-5?L/ (mg?day) to 10-4?L/ (mg?day). Optimal level for each parameter was obtained through data analysis. For optimal biomass equal to 2.75 OD600, optimal pH, Tween80, glucose, phosphorous source, and time were 8.3, 4?g/L, 4?g/L, 9?g/L, and 10?days, respectively. For biokinetic constant equal to 1.2?×-0-4?L/ (mg?day), optimal pH, Tween80, glucose, phosphorous source, and nitrogen source were 8.3, 1?g/L, 4?g/L, 1?g/L, and 9?g/L, respectively. The optimum levels for biomass and biokinetic constant were the same except the levels of the Tween 80, and phosphorous source. Consequently, mazut may be more degraded with adjusting the conditions on the optimum condition.