Table of Contents Table of Contents
Previous Page  127 / 129 Next Page
Information
Show Menu
Previous Page 127 / 129 Next Page
Page Background

M

ozola

et al

.:

J

ournal of

AOAC I

nternational

V

ol

.

97, N

o

. 3, 2014 

835

vulgaris

produced colonies on XLT-4 agar. The remaining cases

of no growth appeared to be random with respect to strain and

medium. A total of 691 analyses were performed on exclusive

strains. Collaborator 16 reported positive results on six of seven

plates streaked with the

E. cloacae

culture. The remaining

agar, TSA, was reported to have no growth. Collaborator 16

reported that the six plates all contained growth with colonies

of a

Salmonella

-like appearance. It is concluded that this

culture became contaminated at some point during preparation

or analysis and therefore these data were eliminated from the

statistical analysis. Of 685 remaining analyses, 661 produced

negative results for accuracy with exclusive strains of 96.5%.

Asummary of results by agar medium is shown in Table 4. The

percentage of correct results was very similar for all seven media,

ranging from 97.6 to 98.9%.

Discussion

In this multilaboratory evaluation of the ANSR

Salmonella

test for identification of presumptive

Salmonella

spp. isolates

from agar media, the method exhibited exceptional accuracy

with inclusive strains and a high degree of exclusivity with non-

salmonellae. Of the 18 laboratories participating in the study,

15 reported results with overall accuracy of 99 to 100%. There

was only a single false-negative result out of 756 

Salmonella

spp. colonies tested. Excluding data generated from a suspected

contaminated slant culture, there were 24 false-positive results

on non-

Salmonella

spp. colonies out of 685 colonies tested. All

but seven of these aberrant results occurred in three laboratories.

Laboratory 16 reported six false-positive results in addition

to those linked to the contaminated slant culture. No further

information is available for these samples, except that all six

ANSR fluorescence curves were very strong, typical of true

positive results. Laboratory 2 reported six false-positive results;

four of these occurred in a singleANSR assay run of 15 samples.

All but one of the false-positive results showed atypical, weak

fluorescence curves, suggestive of cross-contamination during

performance of the ANSR assay. Laboratory 13 reported five

false-positive results. Again, all but one of these results showed

atypical, weak fluorescence curves. Additionally, raw data

received from this laboratory indicated that one assay run was

repeated in total due to extreme aberrant results (i.e., invalid

assays), suggesting that the technician was experiencing

difficulty in performing the assay correctly.

Including data from all 18 laboratories (with the exclusion

of the six suspected contaminated samples from laboratory 16),

accuracy on inclusive and exclusive strains was 99.9 and 96.5%,

respectively. Considering only data from the 15 laboratories

without clusters of aberrant results, accuracy on exclusive strains

was 98.8%.

Recommendations

The ANSR

Salmonella

test was adopted as Official First

Action status for use as a rapid, accurate adjunct or alternative to

biochemical testing for identification of presumptive

Salmonella

spp. isolates.

Acknowledgments

We thank the following collaborators for their participation in

this study:

Dorn Clark and Hondo Dammann, Marshfield Food Safety

(Marshfield, WI)

Jessica Dyszel and Matthew Vross, Richter International

(Columbus, OH)

Nicole Cuthbert and Brian Kupski, Silliker (Crete, IL)

Joe Benzinger, Megan Boyle, and Jonathan Flannery,

Q Laboratories (Cincinnati, OH)

Eric S. Adams, John B. Barrett, Mark E. Berrang, Douglas

E. Cosby, Nelson A. Cox, Jonathan G. Frye, Lari M. Hiott,

Charlene R. Jackson, Steven W. Knapp, and Luanne L. Rigsby,

U.S. Department of Agriculture, Agricultural Research Service

(Athens, GA)

Robert Fuller and Jarrod Van Brunt, Tyson Foods (Springdale,

AR)

Hamoud Alnughaymishi and Andrew Scollon, Michigan State

University, Department of Food Science and Human Nutrition

(East Lansing, MI)

Melanie Corebello and Erika Sai, Unilever U.S. (Englewood

Cliffs, NJ)

Lisa Kuepfer and Jill Stepnitz, Covance (Battle Creek, MI)

Michael Hudgens andWalter Jones, NPAnalytical Laboratories

(St. Louis, MO)

DouglasWaltman and SelenaYork, Georgia Poultry Laboratory

(Oakwood, GA)

Jake Cannon, Benjamin Howard, and Neil Rogman, Certified

Laboratories of the Midwest (Bolingbrook, IL)

Chad Pidgeon and Amy Quenneville, Ben & Jerry’s

(Burlington, VT)

Vikas Gill and Hua Wang, United States Food and Drug

Administration, Center for Food Safety and Applied Nutrition

(College Park, MD)

Cori Flores and Priyanwada Kulkarni, Henningsen Foods

(Omaha, NE)

Table 4. Results by agar medium

Medium

a

Correct

Misidentified Total

BGS

Inclusive

108

0

108

Exclusive

98

5

103

BS

Inclusive

108

0

108

Exclusive

99

4

103

DMLIA

Inclusive

108

0

108

Exclusive

93

3

96

HE

Inclusive

107

1

108

Exclusive

100

4

104

TSA

Inclusive

108

0

108

Exclusive

101

3

104

XLD

Inclusive

108

0

108

Exclusive

101

3

104

XLT-4

Inclusive

108

0

108

Exclusive

69

2

71

Total

Inclusive

755

1

756

Exclusive

661

24

685

a

 BGS = brilliant green sulfa agar; BS = bismuth sulfite agar;

DMLIA = double-modified lysine iron agar; HE = Hektoen enteric agar;

TSA = tryptic soy agar; XLD = xylose lysine deoxycholate agar;

XLT-4 = xylose lysine tergitol agar.

118