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Journal of Arid Land  2013, Vol. 5 Issue (3): 408-414    DOI: 10.1007/s40333-013-0167-x
Research Articles     
Optimization of reed-specific degrading bacteria by response surfaces for remediation of crude oil-polluted soil in Xinjiang, China
YaMing DONG1,2*, ChaoCheng ZHAO1, Yun CAI1, DongFeng ZHAO1
1 College of Chemistry and Chemical Engineering, China University of Petroleum, Qingdao 266555, China;
2 Xinjiang Department of Environmental Protection, Urumqi 830000, China 
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Abstract  This paper discussed the optimization of conditions for remediation of crude oil-polluted soil based on pot experiment by applying reed-specific degrading bacteria, and using response surfaces methodology. We took the initial crude oil concentration, the amount of inoculation, the ratio of nitrogen and phosphorus, and the use of surfactant (Tween-80) as independent variables (factors), and the degrading ratio of crude oil as the dependent variable (response) after a 90-day experiment. The experiment explored the impacts of each independent variable and their interactions on the bioremediation of crude oil-polluted soil using the Box-Behnken design. Working with a simulated forecasting model the study obtained optimization values for the treatment parameters of 200 g/kg of the reed+specific degrading bacteria, a nitrogen to phosphorus ratio of about 6.0, and 0.2% surfactant. Under experimental conditions, for crude oil concentrations of 10, 30 and 50 g/kg, the optimal effects of the treatments achieved 71.87%, 66.61% and 54.52% degradation of the crude oil, respectively. The results can provide a basis for the technical development of plant-microorganism combined bioremediation of crude oil-polluted soil.

Key wordsprocess-based model      arid ecosystem      C cycle      vegetation dynamics     
Received: 18 October 2012      Published: 10 September 2013

This research was supported by the Specialized Research Fund for the Basic Scientific Research of Higher Education of China (27R1204018A).

Corresponding Authors: YaMing DONG     E-mail:
Cite this article:

YaMing DONG, ChaoCheng ZHAO, Yun CAI, DongFeng ZHAO. Optimization of reed-specific degrading bacteria by response surfaces for remediation of crude oil-polluted soil in Xinjiang, China. Journal of Arid Land, 2013, 5(3): 408-414.

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Beskoski V P, Gojgic-Cvijovic G D, Milic J S. 2012. Bioremediation of soil polluted with crude oil and its derivatives: microorganisms, degradation pathways, technologies. Hemijska Industrija, 66(2): 275–289.

Chen L, Zhang F W, Chen J. 2010. Study on plants-microbial in-situ remediation of petroleum contaminated soil. In: Conference on Environmental Pollution and Public Health (CEPPH 2010 E-BOOK). USA: Scientific Research Publishing, 598–602.

Cheng G L, Li P J. 2007. Petroleum contaminated soil phytoremediation and microbial remediation technology. Chinese Journal of Environmental Engineering, 6(1): 91– 94.

Du W D, Wan Y Y, Zhong N N. 2011. Status quo of soil petroleum contamination and evolution of bioremediation. Petroleum Science, 8(4): 502–514.

Ferreira S L C, Bruns R E, Ferreira H S, et al. 2007. Box-Behnken design: an alternative for the optimization of analytical methods. Analytica Chimica Acta, 597: 179–186.

Guo Z Q. 2000. The particularity of Xinjiang's crude oil and the significance in its exploration, development, and refining. Xinjiang Petroleum Geology, 21(5): 397–400.

He L J, Li P J, Wei D Z, et al. 2004. Nutrient balance and mechanism of biological degradation of oil. Environmentl Science, 25(1): 91–94.

Lin X, Li X J, Li P J. 2008. Evaluation of plant–microorganism synergy for the remediation of diesel fuel contaminated soil. Bulletin of Environmental Contamination and Toxicology, 81(1): 19–24.

Liu J C, Cui Y S, Zhang Y P. 2009. Effect of plants and microorganisms on remediation of petroleum contaminated soil. Journal of Ecology and Rural Environment, 25(2): 80–83.

Liu P W, Chang T C, Whang L M, et al. 2011. Bioremediation of petroleum hydrocarbon contaminated soil: effects of strategies and microbial community shift. International Biodeterioration & Biodegradation, 65(8): 1119–1127.

Liu W X, Luo Y M, Teng Y, et al. 2006. Study on bioremediation of petroleum contaminated soils. Soil, 38(5): 634–639.

Mallavarapu M, Balasubramanian R, Kadiyala V, et al. 2011. Bioremediation approaches for organic pollutants: a critical perspective. Environment International, 37: 1362–1375.

Mohsenzadeh F, Nasseri S, Mesdaghinia A, et al. 2010. Phytoremediation of petroleum-polluted soils: application of Polygonum aviculare and its root-associated (penetrated) fungal strains for bioremediation of petroleum-polluted soils. Ecotoxicology and Environmental Safety, 73(4): 613–619.

Morgan P, Watkinson R J. 1994. Biodegradation of components of petroleum. In: Ratledge C. Biochemistry of Microbial Degradation. Dordrecht: Kluwer Academic Publishers.

Okoh A I, Trejo-Hernandez M R. 2006. Remediation of petroleum hydrocarbon polluted systems: exploiting the bioremediation strategies. African Journal of Biotechnology, 5(25): 2520–2525.

Qian S Q, Liu Z. 2000. Introduction of soil remediation technology. Advances in Chemical Engineering, (4): 10–12.

Ren H F, Shan D C, Li S Q. 2004. Petroleum contaminated soil bioremediation technology research progress. Journal of Northeast Agri-cultural University, 35(3): 373–376.

Rizzo A C L, Santos R M, Sobral L G S. 2008. Bioremediation of Brazilian petroleum contaminated soil: auxiliary techniques evaluation in pilot scale. Remediation Concepts & Technologies, 1(3): 1066–1075.

Sun Q F, Yu R F. 2002. Progress of petroleum contaminated soil treatment technology research. Metallic Ore Dressing Abroad, (12): 4–8.

Sun T H, Song Y F. 1999. Plant biological repair of PAHs and the regulation of mineral oil contaminated soil. Chinese Journal of Applied Ecology, 10(2): 225–229.

Tang J C, Niu X W, Sun Q. 2009. Bioremediation of petroleum polluted soil by combination of rye grass with effective microorganisms. International Conference on Environmental Science and Information Application Technology, II: 51–54.

Tang J C, Wang R G, Niu X W, et al. 2010. Enhancement of soil petroleum remediation by using a combination of ryegrass (Lolium perenne) and different microorganisms. Soil and Tillage Research, 110(1): 87–93.

Walworth J, Braddock J, Woolard C, et al. 2001. Nutrient and temperature interactions in bioremediation of cryic soils. Cold Regions Science and Technology, 32(2–3): 85–91.

Xia H H, Lin Y S. 2000. Advances of bioremediation of organic-contaminated soil. Pollution Control Technology, 13(1): 46–47.

Yang L P. 2003. On the development of modern petroleum resources in Northwest China. Ph.D.Dissertation. Lanzhou: Northwest Normal University.

Zhang Z Z, Su S M, Luo Y J. 2009. Improvement of natural microbial remediation of petroleum-polluted soil using graminaceous plants. Water Science and Technology, 59: 1025–1035.

Zhu X, Venosa A D, Suidanm T, et al. 2001. Guidelines for the Bioremediation of Marine Shorelines and Freshwaters. Cincinnati: US Environmental Protection Agency.
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