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W

allace

et al

.:

J

ournal of

AOAC I

nternational

V

ol

.

97, N

o

. 3, 2014 

875

observed for each matrix collaboratively studied, the S

L

value

(between-laboratory effect components of S

R

) being zero

in both data sets at each partial response spike level. This

acceptable interlaboratory reproducibility is supported by the

insignificant homogeneity test P

T

values (>0.1), which suggest

that the laboratory POD values are not significantly different

when allowance is made for the sampling variability. While

interpretation of this latter test is subject to the study design, 10

or more laboratories with 12 replicate sample portions per level

for each of three levels (high, low, and unspiked) per laboratory

is deemed adequate for such studies.

The graphical representation of the data (Appendix 4,

Figure 1) demonstrates that the dose-response curve for each

matrix encompasses the partial response region required for

qualitative detection method analysis. The 95% confidence

interval of each dPOD value determined at each concentration

contains zero, which is indicative of no significant difference

between the candidate and reference methods and between the

candidate presumptive result and candidate confirmed result.

Conclusions

Within the statistical constraints of these studies, no

differences were found between the reference culture-based

methods and the alternative BAX System method. These

results indicate that the alternative method can be used to

allow uncontaminated food to be released rapidly from a

manufacturer’s control and prevents

Salmonella

-contaminated

foods from entering commerce. Furthermore, this test method

can be a valuable tool for outbreak investigations when food

contamination events occur.

Collaborator feedback indicated that the method was easy

to use and that the clear yes/no results provided by the BAX

System software were appreciated. Time and labor savings were

cited as key advantages of the test method over the reference

culture methods. No negative feedback regarding the method

was provided by any of the collaborators.

The DuPont BAX System Real-Time PCR Assay for

Salmonella

was adopted as Official First Action status for the

detection of

Salmonella

in a variety of foods, including raw

ground beef, ground beef with soy, beef trim, frankfurters,

shrimp, ground turkey, chicken wings, poultry rinse, dried

eggs, shell eggs, fresh bagged lettuce, frozen peas, orange juice,

cream cheese, nonfat dry milk, ice cream, peanut butter, cocoa,

white pepper, infant formula, and dry pet food, and on stainless

steel, ceramic tile, and plastic surfaces.

Acknowledgments

We sincerely thank the following collaborators for their

dedicated participation in this study:

Bryan Dieckelman, Deibel Laboratories (Lincolnwood, IL)

Tom Donohue, LeAnne Hahn, and Catherine Churchill,

Deibel Laboratories (Madison, WI)

Hesham Elgaali, Indiana Department of Health (Indianapolis,

IN)

Willis Fedio, New Mexico State University (Las Cruces,

NM)

Elizabeth Galbraith, DuPont Nutrition & Health (Waukesha,

WI)

Brian Kupski, Silliker Laboratories (Crete, IL)

Kristina McCallum and Dominika Kondratko, Colorado

Department of Agriculture (Denver, CO)

Guy McWhorter, ABC Research Laboratories (Gainesville,

FL)

Joe Meyer and Demi Swift, Covance Laboratories (Monona,

WI)

Roy Radcliff and Dorn Clark, Jr, Marshfield Food Safety

(Marshfield, WI)

Dora Rodgers, Samantha Scott, and Joseph Putrow,Wisconsin

Department of Agriculture (Madison, WI)

Leslie Thompson, AEGIS FOOD TESTING Laboratories

(North Sioux City, SD)

We would also like to thank Nicolette Blubaugh (DuPont

Nutrition & Health, Wilmington, DE) for invaluable assistance

in the preparation of this manuscript and Maria Nelson (AOAC

INTERNATIONAL, Gaithersburg, MD) for her expertise and

assistance in the design and execution of this study.

References

(1) U.S. Department of Agriculture-Food Safety and Inspection

Service (2011)

Microbiology Laboratory Guidebook,

Chapter

4.05, Isolation and Identification of

Salmonella

from Meat,

Poultry, Pasteurized Egg and Catfish Products,

http://www.fsis

.

usda.gov/PDF/MLG_4_05.pdf

 (2) U.S. Food and Drug Administration (2011)

Bacteriological

Analytical Manual

, Chapter 5,

Salmonella

,

http://www.fda.gov/

food/foodscienceresearch/laboratorymethods/ucm070149

 (3) Reid, A. (2009) MFHPB-20, Isolation and Identification of

Salmonella

from Food and Environmental Samples. In: Health

Canada Compendium, Vol. 3, Laboratory Procedures for the

Microbiological Examination of Foods, Health Canada, Health

Products and Food Branch,

http://www.hc-sc.gc.ca/fn-an/res-

rech/analy-meth/microbio/volume2/mfhpb20-01-eng.php

 (4) 

Official Methods of Analysis

(2012) 19th Ed., AOAC

INTERNATIONAL, Gaithersburg, MD, Appendix J:

AOAC INTERNATIONAL Methods Committee Guidelines

for Validation of Microbiological Methods for Food and

Environmental Surfaces,

www.eoma.aoac.org/app_j.pdf

 (5) Least Cost Formulations, Ltd, MPN Calculator-Version 1.6,

http://www.lcfltd.com/customer/LCFMPNCalculator.exe

 (6) Least Cost Formulations, Ltd (2011) AOAC Binary Data

Interlaboratory Study Workbook,

http://lcfltd.com/aoac/aoac-

binary-v2-2.xls

Candidates for 2016 Method of the Year

320