Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Detection of Salmonella in meat in less than 5 hours by a low-cost and non-complex sample preparation method.
DTU Technical University of Denmark, Denmark.
RISE - Research Institutes of Sweden, Bioscience and Materials, Agrifood and Bioscience. DTU Technical University of Denmark, Denmark.ORCID iD: 0000-0001-6492-1245
DTU Technical University of Denmark, Denmark.
DMRI Danish Technological Institute, Denmark.
Show others and affiliations
2017 (English)In: Applied and Environmental Microbiology, ISSN 0099-2240, E-ISSN 1098-5336, Vol. 83, no 5, article id e03151-16Article in journal (Refereed) Published
Abstract [en]

Salmonella is recognised as one of the most important foodborne bacteria, and has a wide health and socioeconomical impact worldwide. Fresh pork meat is one of the main sources of Salmonella and efficient and fast methods for detection are therefore necessary. Current methods for Salmonella detection in fresh meat usually include >16 h of culture enrichment, in few cases < 12 h, thus requiring at least two working shifts. Here, we report a rapid (< 5 h) and high throughput method, for screening of Salmonella in samples from fresh pork meat, consisting of a 3-h enrichment in standard buffered peptone water, and a real-time PCR compatible sample preparation method, based on filtration, centrifugation, and enzymatic digestion, followed by fast cycling real-time PCR detection. The method was validated in an un-paired, comparative study against the Nordic Committee on Food Analysis (NMKL) reference culture method 187. Pork meat samples (n=140) were either artificially contaminated with Salmonella at levels: 0, 1-10 and 10-100 CFU/25 g, or naturally contaminated. Cohen's Kappa for degree of agreement between the rapid method and the reference was 0.64 and the relative accuracy, sensitivity and specificity for the rapid method were 81.4, 95.1 and 97.9 %, respectively. The limit of detection (LOD50) was 8.8 CFU/25 g for the rapid method and 7.7 CFU/25 g for the reference method. Implementation of this method will enable faster release of Salmonella low risk meat, providing savings for meat producers, and help contribute to improved food safety.

IMPORTANCE: While the cost of analysis and hands-on time of the presented rapid method were comparable to reference culture methods, the fast product release by this method can provide the meat industry with a competitive advantage. Not only will the abattoirs save costs for work hours and cold storage; consumers as well as retailers will also benefit from fresher meat with a longer shelf life. Furthermore, the presented sample preparation might be adjusted for application in detection of other pathogenic bacteria in different sample types.

Place, publisher, year, edition, pages
2017. Vol. 83, no 5, article id e03151-16
National Category
Microbiology
Identifiers
URN: urn:nbn:se:ri:diva-28015DOI: 10.1128/AEM.03151-16PubMedID: 27986726Scopus ID: 2-s2.0-85013498114OAI: oai:DiVA.org:ri-28015DiVA, id: diva2:1073503
Available from: 2017-02-10 Created: 2017-02-10 Last updated: 2019-02-01Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Löfström, Charlotta

Search in DiVA

By author/editor
Löfström, Charlotta
By organisation
Agrifood and Bioscience
In the same journal
Applied and Environmental Microbiology
Microbiology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 63 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf