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DOI10.1016/j.watres.2013.04.063
Recommendations following a multi-laboratory comparison of microbial source tracking methods
Stewart, Jill R.1; Boehm, Alexandria B.2; Dubinsky, Eric A.3; Fong, Theng-Theng4; Goodwin, Kelly D.5; Griffith, John F.6; Noble, Rachel T.1,7; Shanks, Orin C.8; Vijayavel, Kannappan9,10; Weisberg, Stephen B.6
发表日期2013-11-15
ISSN0043-1354
卷号47期号:18页码:6829-6838
英文摘要

Microbial source tracking (MST) methods were evaluated in the Source Identification Protocol Project (SIPP), in which 27 laboratories compared methods to identify host sources of fecal pollution from blinded water samples containing either one or two different fecal types collected from California. This paper details lessons learned from the SIPP study and makes recommendations to further advance the field of MST. Overall, results from the SIPP study demonstrated that methods are available that can correctly identify whether particular host sources including humans, cows and birds have contributed to contamination in a body of water. However, differences between laboratory protocols and data processing affected results and complicated interpretation of MST method performance in some cases. This was an issue particularly for samples that tested positive (non-zero C-t values) but below the limits of quantification or detection of a PCR assay. Although false positives were observed, such samples in the SIPP study often contained the fecal pollution source that was being targeted, i.e., the samples were true positives. Given these results, and the fact that MST often requires detection of targets present in low concentrations, we propose that such samples be reported and identified in a unique category to facilitate data analysis and method comparisons. Important data can be lost when such samples are simply reported as positive or negative. Actionable thresholds were not derived in the SIPP study due to limitations that included geographic scope, age of samples, and difficulties interpreting low concentrations of target in environmental samples. Nevertheless, the results of the study support the use of MST for water management, especially to prioritize impaired waters in need of remediation. Future integration of MST data into quantitative microbial risk assessments and other models could allow managers to more efficiently protect public health based on site conditions. (C) 2013 Elsevier Ltd. All rights reserved.


英文关键词Microbial source tracking;qPCR;Water quality;Coliform
语种英语
WOS记录号WOS:000328444000003
来源期刊WATER RESEARCH
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/61772
作者单位1.Univ N Carolina, Dept Environm Sci & Engn, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599 USA;
2.Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA;
3.Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Div Earth Sci, Berkeley, CA 94720 USA;
4.Clancy Environm Consultants, Tetra Tech Co, St Albans, VT 05478 USA;
5.NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA;
6.Southern Calif Coastal Water Res Project, Costa Mesa, CA 92626 USA;
7.Univ N Carolina, UNC Inst Marine Sci, Morehead City, NC 28557 USA;
8.US EPA, Off Res & Dev, Natl Risk Management Res Lab, Cincinnati, OH 45268 USA;
9.Wayne State Univ, Dept Biol Sci, Detroit, MI 48202 USA;
10.Ottawa Cty Hlth Dept, Div Environm Hlth, Holland, MI 49424 USA
推荐引用方式
GB/T 7714
Stewart, Jill R.,Boehm, Alexandria B.,Dubinsky, Eric A.,et al. Recommendations following a multi-laboratory comparison of microbial source tracking methods[J]. 美国环保署,2013,47(18):6829-6838.
APA Stewart, Jill R..,Boehm, Alexandria B..,Dubinsky, Eric A..,Fong, Theng-Theng.,Goodwin, Kelly D..,...&Weisberg, Stephen B..(2013).Recommendations following a multi-laboratory comparison of microbial source tracking methods.WATER RESEARCH,47(18),6829-6838.
MLA Stewart, Jill R.,et al."Recommendations following a multi-laboratory comparison of microbial source tracking methods".WATER RESEARCH 47.18(2013):6829-6838.
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