Semi-quantitative evaluation of fecal contamination potential by human and ruminant sources using multiple lines of evidence.

作者: Donald M. Stoeckel , Erin A. Stelzer , Robert W. Stogner , David P. Mau

DOI: 10.1016/J.WATRES.2011.03.037

关键词: BacteroidalesHydrologyEnvironmental chemistryFecesContaminationEscherichia coliWater pollutionWaste disposalFecal coliformPollution

摘要: Protocols for microbial source tracking of fecal contamination generally are able to identify when a is present, but thus far have been unable evaluate what portion fecal-indicator bacteria (FIB) came from various sources. A mathematical approach estimate relative amounts FIB, such as Escherichia coli, sources based on the concentration and distribution markers in feces was developed. The tested using dilute suspensions, then applied part an analytical suite contaminated headwater stream Rocky Mountains (Upper Fountain Creek, Colorado). In one single-source suspension, that not present could be excluded because incomplete marker specificity; however, human ruminant were detected whenever they present. mixed-feces suspension (pet human), minority contributor (human) at low enough preclude dominant E. coli sample. Without semi-quantitative described, simple detects human-associated samples would provided inaccurate evidence major stream. Upper Creek pattern general host-associated markers, nutrients, wastewater-associated chemical detections--augmented with local observations land-use patterns--indicated that, contrary expectations, birds rather than humans or ruminants predominant Creek. This new allocation, validated by controlled study application relatively setting, represents widely applicable step forward field contamination.

参考文章(32)
John F. Griffith, Stephen B. Weisberg, Charles D. McGee, Evaluation of microbial source tracking methods using mixed fecal sources in aqueous test samples. Journal of Water and Health. ,vol. 1, pp. 141- 151 ,(2003) , 10.2166/WH.2003.0017
G. H. Reischer, J. M. Haider, R. Sommer, H. Stadler, K. M. Keiblinger, R. Hornek, W. Zerobin, R. L. Mach, A. H. Farnleitner, Quantitative microbial faecal source tracking with sampling guided by hydrological catchment dynamics. Environmental Microbiology. ,vol. 10, pp. 2598- 2608 ,(2008) , 10.1111/J.1462-2920.2008.01682.X
Donald M. Stoeckel, Erin A. Stelzer, Linda K. Dick, Evaluation of two spike-and-recovery controls for assessment of extraction efficiency in microbial source tracking studies Water Research. ,vol. 43, pp. 4820- 4827 ,(2009) , 10.1016/J.WATRES.2009.06.028
Sheridan K. Haack, Lisa R. Fogarty, Christopher Wright, Escherichia coli and enterococci at beaches in the Grand Traverse Bay, Lake Michigan: sources, characteristics, and environmental pathways. Environmental Science & Technology. ,vol. 37, pp. 3275- 3282 ,(2003) , 10.1021/ES021062N
Beverly J. Kildare, Christian M. Leutenegger, Belinda S. McSwain, Dustin G. Bambic, Veronica B. Rajal, Stefan Wuertz, 16S rRNA-based assays for quantitative detection of universal, human-, cow-, and dog-specific fecal Bacteroidales: A Bayesian approach Water Research. ,vol. 41, pp. 3701- 3715 ,(2007) , 10.1016/J.WATRES.2007.06.037
Randall W. Gentry, Alice C. Layton, Larry D. McKay, John F. McCarthy, Dan E. Williams, Shesh R. Koirala, Gary S. Sayler, Efficacy of Bacteroides Measurements for Reducing the Statistical Uncertainty Associated with Hydrologic Flow and Fecal Loads in a Mixed Use Watershed Journal of Environmental Quality. ,vol. 36, pp. 1324- 1330 ,(2007) , 10.2134/JEQ2006.0496
Dan Wang, Sarah S. Silkie, Kara L. Nelson, Stefan Wuertz, Estimating true human and animal host source contribution in quantitative microbial source tracking using the Monte Carlo method. Water Research. ,vol. 44, pp. 4760- 4775 ,(2010) , 10.1016/J.WATRES.2010.07.076