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Determining the 95% limit of detection for waterborne pathogen analyses from primary concentration to qPCR.

Authors :
Stokdyk JP
Firnstahl AD
Spencer SK
Burch TR
Borchardt MA
Source :
Water research [Water Res] 2016 Jun 01; Vol. 96, pp. 105-13. Date of Electronic Publication: 2016 Mar 11.
Publication Year :
2016

Abstract

The limit of detection (LOD) for qPCR-based analyses is not consistently defined or determined in studies on waterborne pathogens. Moreover, the LODs reported often reflect the qPCR assay alone rather than the entire sample process. Our objective was to develop an approach to determine the 95% LOD (lowest concentration at which 95% of positive samples are detected) for the entire process of waterborne pathogen detection. We began by spiking the lowest concentration that was consistently positive at the qPCR step (based on its standard curve) into each procedural step working backwards (i.e., extraction, secondary concentration, primary concentration), which established a concentration that was detectable following losses of the pathogen from processing. Using the fraction of positive replicates (n = 10) at this concentration, we selected and analyzed a second, and then third, concentration. If the fraction of positive replicates equaled 1 or 0 for two concentrations, we selected another. We calculated the LOD using probit analysis. To demonstrate our approach we determined the 95% LOD for Salmonella enterica serovar Typhimurium, adenovirus 41, and vaccine-derived poliovirus Sabin 3, which were 11, 12, and 6 genomic copies (gc) per reaction (rxn), respectively (equivalent to 1.3, 1.5, and 4.0 gc L(-1) assuming the 1500 L tap-water sample volume prescribed in EPA Method 1615). This approach limited the number of analyses required and was amenable to testing multiple genetic targets simultaneously (i.e., spiking a single sample with multiple microorganisms). An LOD determined this way can facilitate study design, guide the number of required technical replicates, aid method evaluation, and inform data interpretation.<br /> (Published by Elsevier Ltd.)

Details

Language :
English
ISSN :
1879-2448
Volume :
96
Database :
MEDLINE
Journal :
Water research
Publication Type :
Academic Journal
Accession number :
27023926
Full Text :
https://doi.org/10.1016/j.watres.2016.03.026