| dc.contributor.author |
Andritsos, ND |
en |
| dc.contributor.author |
Mataragas, M |
en |
| dc.contributor.author |
Paramithiotis, S |
en |
| dc.contributor.author |
Drosinos, EH |
en |
| dc.date.accessioned |
2014-06-06T06:52:46Z |
|
| dc.date.available |
2014-06-06T06:52:46Z |
|
| dc.date.issued |
2013 |
en |
| dc.identifier.issn |
07400020 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1016/j.fm.2013.06.020 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/6166 |
|
| dc.subject |
Bayesian inference |
en |
| dc.subject |
Culture media performance |
en |
| dc.subject |
Detection |
en |
| dc.subject |
Listeria monocytogenes |
en |
| dc.subject |
Pork meat |
en |
| dc.subject |
Presence absence testing |
en |
| dc.subject.other |
animal |
en |
| dc.subject.other |
article |
en |
| dc.subject.other |
bacterial count |
en |
| dc.subject.other |
Bayes theorem |
en |
| dc.subject.other |
Bayesian inference |
en |
| dc.subject.other |
Culture media performance |
en |
| dc.subject.other |
culture medium |
en |
| dc.subject.other |
detection |
en |
| dc.subject.other |
equipment |
en |
| dc.subject.other |
food contamination |
en |
| dc.subject.other |
growth, development and aging |
en |
| dc.subject.other |
isolation and purification |
en |
| dc.subject.other |
Listeria monocytogenes |
en |
| dc.subject.other |
meat |
en |
| dc.subject.other |
metabolism |
en |
| dc.subject.other |
methodology |
en |
| dc.subject.other |
microbiology |
en |
| dc.subject.other |
Pork meat |
en |
| dc.subject.other |
Presence/absence testing |
en |
| dc.subject.other |
swine |
en |
| dc.subject.other |
validation study |
en |
| dc.subject.other |
Bayesian inference |
en |
| dc.subject.other |
Culture media performance |
en |
| dc.subject.other |
Detection |
en |
| dc.subject.other |
Listeria monocytogenes |
en |
| dc.subject.other |
Pork meat |
en |
| dc.subject.other |
Presence/absence testing |
en |
| dc.subject.other |
Animals |
en |
| dc.subject.other |
Bayes Theorem |
en |
| dc.subject.other |
Colony Count, Microbial |
en |
| dc.subject.other |
Culture Media |
en |
| dc.subject.other |
Food Contamination |
en |
| dc.subject.other |
Listeria monocytogenes |
en |
| dc.subject.other |
Meat |
en |
| dc.subject.other |
Swine |
en |
| dc.title |
Quantifying Listeria monocytogenes prevalence and concentration in minced pork meat and estimating performance of three culture media from presence/absence microbiological testing using a deterministic and stochastic approach |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1016/j.fm.2013.06.020 |
en |
| heal.publicationDate |
2013 |
en |
| heal.abstract |
Listeria monocytogenes poses a serious threat to public health, and the majority of cases of human listeriosis are associated with contaminated food. Reliable microbiological testing is needed for effective pathogen control by food industry and competent authorities. The aims of this work were to estimate the prevalence and concentration of L. monocytogenes in minced pork meat by the application of a Bayesian modeling approach, and also to determine the performance of three culture media commonly used for detecting L. monocytogenes in foods from a deterministic and stochastic perspective. Samples ( n = 100) collected from local markets were tested for L. monocytogenes using in parallel the PALCAM, ALOA and RAPID'L.mono selective media according to ISO 11290-1:1996 and 11290-2:1998 methods. Presence of the pathogen was confirmed by conducting biochemical and molecular tests. Independent experiments ( n = 10) for model validation purposes were performed. Performance attributes were calculated from the presence-absence microbiological test results by combining the results obtained from the culture media and confirmative tests. Dirichlet distribution, the multivariate expression of a Beta distribution, was used to analyze the performance data from a stochastic perspective. No L. monocytogenes was enumerated by direct-plating (<10 CFU/g), though the pathogen was detected in 22% of the samples. L. monocytogenes concentration was estimated at 14-17 CFU/kg. Validation showed good agreement between observed and predicted prevalence (error = ?2.17%). The results showed that all media were best at ruling in L. monocytogenes presence than ruling it out. Sensitivity and specificity varied depending on the culture-dependent method. None of the culture media was perfect in detecting L. monocytogenes in minced pork meat alone. The use of at least two culture media in parallel enhanced the efficiency of L. monocytogenes detection. Bayesian modeling may reduce the time needed to draw conclusions regarding L. monocytogenes presence and the uncertainty of the results obtained. Furthermore, the problem of observing zero counts may be overcome by applying Bayesian analysis, making the determination of a test performance feasible. © 2013 Elsevier Ltd. |
en |
| heal.journalName |
Food Microbiology |
en |
| dc.identifier.issue |
2 |
en |
| dc.identifier.volume |
36 |
en |
| dc.identifier.doi |
10.1016/j.fm.2013.06.020 |
en |
| dc.identifier.spage |
395 |
en |
| dc.identifier.epage |
405 |
en |