Environmental Risk Indication for the Wastewater of the Bio-Pharmaceutical Industry by Microbial Fitting Function

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Abstract:

Trying to work out a fast, simple and convenient assessment method for the wastewater of bio-pharmaceutical industry, microcosm, dose-effective relation analysis and fitting function analysis were performed, according to the better reactivity of microbial in pharmaceutical environmental risk assessment, to select representative microbial indicator on the basis of coefficient of fitting function. Among 4 candidates, a significant negative co-relation (r=-0.981, P=0.003) among the mass growths (OD600) of Aerobacter cloacae and the concentrations of artificial composed water was seen with a coefficient (R2) of 0.9626. So the aerobacter cloacae was selected as an indicator, and its equation of fitting function was: y=-0.0634x+0.1623; Risk levels were set according to the fitting function: OD600≥0.1623 no risk,0.0812<OD600<0.1623 low risk,0.0000<OD600≤0.0812 medium risk,OD600≤0.0000 high risk.

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Advanced Materials Research (Volumes 726-731)

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1134-1137

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y. T. Wang, W. T. Wu, W. J. Wu. "An overview and features of development of Chinese biopharmaceutical enterprises," Pharmaceutical Biotechnology, Vol. 17 (2010), pp.1-14

Google Scholar

[2] S. M. Wen. "The Global Development of the biopharmaceutical industry.,"China Biotechnology, Vol. 26 (2006), pp.92-96

Google Scholar

[3] Ministry of Environmental Protection of P.R. China. "The policies of preventional technologies for pharmaceutical industry," 2009, pp.17-19

Google Scholar

[4] Ministry of Environmental Protection of P.R. China. "National discharge criteria of water pollutants of bio-pharmaceutical industry (GB21907 – 2008)," (2008)

Google Scholar

[5] H. R. Sun, X. L. Wang. "The research progress of environmental risk forcasting technologies for pharmaceutical industrial water pollutants,"  Environmental Science & Technology , 2011 (in press)

Google Scholar

[6] X. M. Zheng, Z. Feng, L. Ding, H. L. Liu, H. X. Yu. "Review of online biological monitoring systems with the use of daphnia Magna," Environmental Monitoring and Forewarning, Vol.3 (2011), pp.21-24

Google Scholar

[7] R. X. Hao, H. W. Wan, Y.Zhang, Y. T. Zhang, Y.W. Zhou. "Environmental risk assessment on nonylphenol supplying reclaimed wastewater for urban lake," Journal of beijing university of technology , Vol. 34 (2008), pp.626-630

Google Scholar

[8] H. R. Sun, Y. Xue, X. L. Ma, X. L. Wang. "An assessment model for the risk of wastewater of pharmaceutical manufacturers (mixing and formulation) taking methane-oxidizing bacteria as an indicator," The 2011 International Conference on Green Energy And Environmental Sustainable Development , (2011), in press

Google Scholar

[9] H.R. Sun, Q. Zou, X. L. Wang. "An environmental risk assessment model for the chemical synthestic pharmaceutical wastewater by euglena," The 2nd Academic Conference on Energy: Environment and Development, (2011), in press

Google Scholar

[10] J. H. Han, Y. L. Wang, L. S. Si. "Study on fermentation for recombinant bacterial strain of human interleukin-6," Journal of xi'an medical university, Vol. 22 (2001), pp.502-504

Google Scholar

[11] P. H. Wei, T. Wu, W. T. Wu, J. Yu. "Construction of low-specificity L-threonine aldolase genetic engineered strain," Pharmaceutical Biotechnology, Vol. 7 (2000), pp.86-89

Google Scholar

[12] K. A. Haynes, M. L. Broderick, A. D. Brown, T. L. Butner, J. O. Dickson, W. L. Harden, et al. "Engineering bacteria to solve the burnt pancake problem," Journal of Biological Engineering,Vol. 2 (2008), pp.8-20

DOI: 10.1186/1754-1611-2-8

Google Scholar