Prevalence and serotyping of Salmonella in retail food in Huzhou China.

Contamination Food Salmonella Serotype

Journal

Journal of food protection
ISSN: 1944-9097
Titre abrégé: J Food Prot
Pays: United States
ID NLM: 7703944

Informations de publication

Date de publication:
10 Jan 2024
Historique:
received: 12 11 2023
revised: 02 01 2024
accepted: 08 01 2024
medline: 13 1 2024
pubmed: 13 1 2024
entrez: 12 1 2024
Statut: aheadofprint

Résumé

Salmonella is one of the most common foodborne pathogens. 70-80% of bacterial food poisoning is caused by Salmonella in China. From 2015 to 2023, a total of 1945 samples in 6 food categories were collected in Huzhou for monitoring of Salmonella. Epidemiological analysis, serotyping, and antibiotic sensitivity testing were conducted on isolated Salmonella. 90 Salmonella strains were detected from 1945 samples and the total detection rate was 4.63%. Among all kinds of food, the detection rate of Salmonella in raw animal meat (8.93%) and raw poultry meat (8.54%) was the highest. Salmonella had also been detected in ready-to-eat foods (bulk cooked meat, Chinese cold dishes) and emerging food categories (seasoned raw meat and pre made dishes). A total of 24 serotypes of Salmonella were detected, of which the dominant serotype was Salmonella Typhimurium. The serotypes of Salmonella detected in different types of food was different. The results showed that the isolates had strong resistance to ampicillin (AMP) and tetracycline (TET).

Identifiants

pubmed: 38215979
pii: S0362-028X(24)00003-6
doi: 10.1016/j.jfp.2024.100219
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100219

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Deshun Xu (D)

Huzhou Center for Disease Control and Prevention, Huzhou, 313000, China. Electronic address: deshunxu@126.com.

Liping Chen (L)

Huzhou Center for Disease Control and Prevention, Huzhou, 313000, China. Electronic address: lipingchen1106@hotmail.com.

Zhonghao Lu (Z)

Huzhou Center for Disease Control and Prevention, Huzhou, 313000, China. Electronic address: 459621682@qq.com.

Xiaofang Wu (X)

Huzhou Center for Disease Control and Prevention, Huzhou, 313000, China. Electronic address: 479662477@qq.com.

Classifications MeSH