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

Journal of Environmental Health Science Engineering

Soheila Yaghmaei¹  Mansour Mashreghi²  Alireza Chackoshian Khorasani¹ 

[1] Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran;Cell and Molecular Research group, Institute of Biotechnology, Ferdowsi University of Mashhad, Mashhad, Iran

关键词: Enterobacter cloacae;    Native bacteria;    Kinetics;    Biodegradation;    Biosystem;    Optimization;   

Others  :  819991
DOI  :  10.1186/2052-336X-12-98

 received in 2013-03-01, accepted in 2014-06-17,  发布年份 2014

【 摘 要 】

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 × 10^-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 × 10^-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.

【 授权许可】

   
2014 Khorasani et al.; licensee BioMed Central Ltd.

【 图 表 】

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【 参考文献 】

• [1]Atkinson AC, Donev AN: Optimum Experimental Designs. Oxford: Oxford University Press; 1992.
• [2]Myers RH, Montgomery DC: Response Surface Methodology: Process and Product Optimization Using Designed Experiments. New York: Wiley; 2002.
• [3]Di Francesco M: New Optimization Models for Empty Container Management. Cagliari, Italy: Cagliari University, Engineering Faculty; 2007. [PhD Thesis]
• [4]Vafajoo L, Khorasheh F, Hamzezadeh Nakhjavani M, Fattahi M: Optimization of reaction rate parameters in modeling of heavy paraffins dehydrogenation. World Acad Sci Eng Technol 2011, 55:389-393.
• [5]Leahy JG, Colwell RR: Microbial degradation of hydrocarbons in the environment. Microbiol Rev 1990, 54:305-315.
• [6]Pala D, Freier D: Bioremediation of clay soil impacted by petroleum. Engenharia Temica 2002, 10:29-32.
• [7]Xu R, Obbard JP: Effect of nutrient amendments on indigenous hydrocarbon biodegradation in oil contaminated beach sediments. J Environ Qual 2003, 32:1234-1243.
• [8]Chackoshian Khorasani A, Mashreghi M, Yaghmaei S: Study on biodegradation of Mazut by newly isolated strain Enterobacter cloacae BBRC10061: improving and kinetic investigation. Iran J Environment Health Sci Eng 2013, 10:2. BioMed Central Full Text
• [9]Chackoshian Khorasani A, Mashreghi M, Yaghmaei S: Biodegradation of heavy fuel oil by newly isolated strain Enterobacter cloacae BBRC10061: study of unstructured kinetic models and innovative equation. Scientia Iranica C 2013, 20:1929-1938.
• [10]Santos VC, Brandão Pereira JF, Haga RB, Rangel-Yagui CO, Couto Teixeirab JA, Converti A, Pessoa A Jr: Stability of clavulanic acid under variable ph, ionic strength and temperature conditions, a new kinetic approach. Biochem Eng J 2009, 45:89-93.
• [11]Arroyo-Lopez FN, Querol A, Barrio E: Application of a substrate inhibition model to estimate the effect of fructose concentration on the growth of diverse Saccharomyces cerevisiae strains. J Ind Microbiol Biotechnol 2009, 36:663-669.
• [12]Pontes RFF, Moraes JEF, Machulek A Jr, Pinto JM: A mechanistic kinetic model for phenol degradation by the Fenton process. J Hazard Mater 2010, 176:402-413.
• [13]Paciello L, Landi C, De Alteriisb E, Parascandola P: Mathematical modeling as a tool to describe and optimize heterologous protein production by yeast cells in aerated fed-batch reactor. Chem Eng Trans 2012, 27:79-84.
• [14]Oyekola OO, Harrison STL, Van Hille RP: Effect of culture conditions on the competitive interaction between lactate oxidizers and fermenters in a biological sulfate reduction system. Bioresour Technol 2012, 104:616-621.
• [15]Sansonetti S, Hobley TJ, Calabròb V, Villadsena J, Sin G: A biochemically structured model for ethanol fermentation by kluyveromyces marxianus: a batch fermentation and kinetic study. Bioresour Technol 2011, 102:7513-7520.
• [16]Liua C-G, Linb Y-H, Bai F-W: A kinetic growth model for Saccharomyces cerevisiae grown under redox potential-controlled very-high-gravity environment. Biochem Eng J 2011, 56:63-68.
• [17]Tavassoli T, Mousavi SM, Shojaosadati SA, Salehizadeh H: Asphaltene biodegradation using microorganisms isolated from oil samples. Fuel 2012, 93:142-148.
• [18]Park C, Kim T-H, Kim S, Kim S-W, Lee J, Kim S-H: Optimization for biodegradation of 2,4,6-Trinitrotoluene (TNT) by Pseudomonas putida. J Biosci Bioeng 2003, 95:567-571.
• [19]Su W-T, Wu B-S, Chen W-J: Characterization and biodegradation of motor oil by indigenous Pseudomonas aeruginosa and optimizing medium constituents. J Taiwan Inst Chem E 2011, 42:689-695.
• [20]Abboud MM, Khleifat KM, Batarseh M, Tarawneh KA, Al-Mustafa A, Al-Madadhah M: Different optimization conditions required for enhancing the biodegradation of linear alkylbenzosulfonate and sodium dodecyl sulfate surfactants by novel consortium of Acinetobacter calcoaceticus and Pantoea agglomerans. Enzyme Microb Tech 2007, 41:432-439.
• [21]Basak B, Bhunia B, Dutta S, Dey A: Enhanced biodegradation of 4-chlorophenol by Candida tropicalis PHB5 via optimization of physicochemical parameters using Taguchi orthogonal array approach. Inter Biodeter Biodegr 2013, 78:17-23.
• [22]Abn-Ruwaida AS, Banat IM, Hamdan IY: Chemostat optimization of biomass production of a mixed bacterial culture utilizing methanol. Appl Microbiol Biotechnol 1990, 32:550-555.
• [23]Annadurai G, Ling LY, Lee J-F: Statistical optimization of medium components and growth conditions by response surface methodology to enhance phenol degradation by Pseudomonas putida. J Hazard Mater 2008, 151:171-178.
• [24]Mohajeri L, Aziz HA, Isa MH, Zahed MA: A statistical experiment design approach for optimizing biodegradation of weathered crude oil in coastal sediments. Bioresource Technol 2010, 101:893-900.
• [25]Zahed MA, Aziz HA, Isa MH, Mohajeri L, Mohajeri S: Optimal conditions for bioremediation of oily seawater. Bioresource Technol 2010, 101:9455-9460.
• [26]Jin HM, Choi EJ, Jeon CO: Isolation of a BTEX-degrading bacterium, Janibacter sp. SB2, from a sea-tidal flat and optimization of biodegradation conditions. Bioresource Technol 2013, 145:57-64.
• [27]Huang L, Ma T, Li D, Liang F-L, Liu R-L, Li G-Q: Optimization of nutrient component for diesel oil degradation by Rhodococcus erythropolis. Mar Pollut Bull 2008, 56:1714-1718.
• [28]Zhou J, Yu X, Ding C, Wang Z, Zhou Q, Pao H, Cai W: Optimization of phenol degradation by Candida tropicalis Z-04 using Plackett-Burman design and response surface methodology. J Environ Sci 2011, 23:22-30.
• [29]Huang L, Xie J, Lv B-Y, Shi X-F, Li G-Q, Liang F-L, Lian J-Y: Optimization of nutrient component for diesel oil degradation by Acinetobacter beijerinckii ZRS. Mar Pollut Bull 2013, 76:325-332.