Molecular-based identification and detection of Salmonella in food production systems: current perspectives.

Ricke, S C; Kim, S A; Shi, Z; Park, S H

Ricke, S C; Kim, S A; Shi, Z; Park, S H.

Affiliation

Ricke SC; Department of Food Science, Center for Food Safety, University of Arkansas, Fayetteville, AR, USA.
Kim SA; Department of Food Science, Center for Food Safety, University of Arkansas, Fayetteville, AR, USA.
Shi Z; Department of Food Science, Center for Food Safety, University of Arkansas, Fayetteville, AR, USA.
Park SH; Department of Food Science, Center for Food Safety, University of Arkansas, Fayetteville, AR, USA.

J Appl Microbiol ; 125(2): 313-327, 2018 Aug.

Article in En | MEDLINE | ID: mdl-29675864

Subject(s)

Food Contamination/analysis; Food Microbiology/methods; Salmonella/genetics; Salmonella/isolation & purification

Key words

PCR; Salmonella; characterization; detection; food production; whole genome sequencing

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Salmonella / Food Contamination / Food Microbiology Type of study: Diagnostic_studies Language: En Journal: J Appl Microbiol Journal subject: MICROBIOLOGIA Year: 2018 Type: Article Affiliation country: United States

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