New Performance Metrics for Quantitative Polymerase Chain Reaction-Based Microbial Source Tracking Methods

被引：12
|
作者：
Wang, Dan [1 ]
Green, Hyatt C. [2 ]
Shanks, Orin C. [2 ]
Boehm, Alexandria B. [1 ]
机构：
[1] Stanford Univ, Dept Civil & Environm Engn, Environm & Water Studies, Stanford, CA 94305 USA
[2] US EPA, Off Res & Dev, Natl Risk Management Res Lab, Cincinnati, OH 45268 USA
来源：
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS | 2014年 / 1卷 / 01期
关键词：
HUMAN FECAL POLLUTION; 16S RIBOSOMAL-RNA; BACTEROIDALES GENETIC-MARKERS; WATER SAMPLES; PCR ASSAY; CONTAMINATION; QPCR; QUANTIFICATION; ENTEROCOCCI; ALPHA-1-6;
D O I：
10.1021/ez400022t
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The ability to select the best quantitative microbial source tracking method for a particular application is paramount. Binary sensitivity and specificity metrics are not adequate to describe the performance of the quantitative methods because the estimates depend on the amount of material tested and the limit of detection. We introduce a new framework for comparing the performance of quantitative fecal source identification methods.
引用
收藏
页码：20 / 25
页数：6
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