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Evaluation of mericon E. coli O157 Screen Plus and mericon E. coli STEC O-Type Pathogen Detection Assays in Select Foods: Collaborative Study, First Action 2017.05.

Authors :
Bird P
Benzinger MJ
Bastin B
Crowley E
Agin J
Goins D
Armstrong M
Arnts L
Clark D
Draper E
Duss A
Endres M
Franklin J
Guden K
Hariram U
Kaur N
Kim A
Klass N
Kupski B
Le S
Liska C
Mastalerz A
Matheus K
Sexton A
Thompson L
Wright H
Zheng J
Source :
Journal of AOAC International [J AOAC Int] 2018 May 01; Vol. 101 (3), pp. 739-760. Date of Electronic Publication: 2017 Oct 18.
Publication Year :
2018

Abstract

QIAGEN mericon Escherichia coli O157 Screen Plus and mericon E. coli Shiga toxin-producing E. coli (STEC) O-Type Pathogen Detection Assays use Real-Time PCR technology for the rapid, accurate detection of E. coli O157 and the "big six" (O26, O45, O103, O111, O121, O145) (non-O157 STEC) in select food types. Using a paired study design, the assays were compared with the U.S. Department of Agriculture, Food Safety Inspection Service Microbiology Laboratory Guidebook Chapter 5.09 reference method for the detection of E. coli O157:H7 in raw ground beef. Both mericon assays were evaluated using the manual and an automated DNA extraction method. Thirteen technicians from five laboratories located within the continental United States participated in the collaborative study. Three levels of contamination were evaluated. Statistical analysis was conducted according to the probability of detection (POD) statistical model. Results obtained for the low-inoculum level test portions produced a difference between laboratories POD (dLPOD) value with a 95% confidence interval of 0.00 (-0.12, 0.12) for the mericon E. coli O157 Screen Plus with manual and automated extraction and mericon E. coli STEC O-Type with manual extraction and -0.01 (-0.13, 0.10) for the mericon E. coli STEC O-Type with automated extraction. The dLPOD results indicate equivalence between the candidate methods and the reference method.

Details

Language :
English
ISSN :
1944-7922
Volume :
101
Issue :
3
Database :
MEDLINE
Journal :
Journal of AOAC International
Publication Type :
Academic Journal
Accession number :
29046166
Full Text :
https://doi.org/10.5740/jaoacint.17-0301