Scale and detection method impacted Salmonella prevalence and diversity in ponds.

Culture-based methods Culture-independent testing Microbial water quality Produce safety Surface water

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Jan 2024
Historique:
received: 27 07 2023
revised: 08 10 2023
accepted: 11 10 2023
medline: 22 11 2023
pubmed: 19 10 2023
entrez: 18 10 2023
Statut: ppublish

Résumé

Site-specific approaches for managing food safety hazards in agricultural water require an understanding of foodborne pathogen ecology. This study identified factors associated with Salmonella contamination in Virginia ponds. Grab samples (250 mL, N = 600) were collected from 30 sites across nine ponds. Culture- and culture-independent (CIDT)-based methods were used to detect Salmonella in each sample. Salmonella isolated by culture-based methods were serotyped by Kauffman-White classification. Environmental data were collected for each sample. McNemar's χ

Identifiants

pubmed: 37852489
pii: S0048-9697(23)06439-2
doi: 10.1016/j.scitotenv.2023.167812
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

167812

Informations de copyright

Copyright © 2023 Elsevier B.V. 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

Claire M Murphy (CM)

Department of Food Science and Technology, Virginia Tech, 1230 Washington Street SW, Blacksburg, VA 24061, USA.

Daniel L Weller (DL)

Department of Food Science and Technology, Virginia Tech, 1230 Washington Street SW, Blacksburg, VA 24061, USA; Department of Biostatistics and Computational Biology, University of Rochester Medical Center, 265 Crittenden Boulevard, Rochester, NY 14642, USA.

Laura K Strawn (LK)

Department of Food Science and Technology, Virginia Tech, 1230 Washington Street SW, Blacksburg, VA 24061, USA. Electronic address: Lstrawn@vt.edu.

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Classifications MeSH