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A retrospective multivariate case-control approach to investigate factors influencing the sanitary quality of raw milk cheeses

Chiadò Rana Alisia, Cazeau Géraldine, Bougeard Stéphanie, Bethune Kevin, Chochois Vincent, Teyssier Corinne, Valat Charlotte. 2024. A retrospective multivariate case-control approach to investigate factors influencing the sanitary quality of raw milk cheeses. Applied Food Research, 4 (2):100617, 17 p.

Article de revue ; Article de recherche ; Article de revue à facteur d'impact
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Url - jeu de données - Dataverse Cirad : https://doi. org/10.18167/DVN1/6ZOPLZ

Résumé : A retrospective case control study conducted in France between 2022 and 2023, involving 20 farms (10 case and 10 control farms), investigated the factors influencing the sanitary quality of raw milk cheeses, focusing on the agricultural aspect and the bacterial microbiota characterised using 16S rRNA short reads metabarcoding from cheese production and the environment during manufacturing. The microbiological quality of raw milk cheeses is defined in Europe by Regulation (EC) No. 2073/2005. In this study, a set of food safety criteria related to the presence of food-borne pathogens such as Salmonella, Listeria monocytogenes and virulence factors of STEC in cheese for a long-time period (2017 - 2022) prior to sampling was used to select the case farms. Using multivariate analysis, this study identified multiple bacterial species and critical sampling points such as raw milk, milking machines and wooden shelves that contribute to food-borne contamination of cheeses and highlights the importance of farm management practices such as additional vaccination or transhumance, hygiene and manufacturing practices to ensure the safety of raw milk cheeses. The bacterial species from raw milk cheeses or contact materials along the production chain contributing to the case or control farms were diversified in winter and summer. This study confirms the value of multi-block analysis for managing complex datasets and suggests that 16S rRNA markers from metabarcoding can help to identify critical control points and risk factors.

Mots-clés Agrovoc : fromage, flore microbienne, lait cru, étude de cas, microbiologie, machine à traire

Mots-clés géographiques Agrovoc : France

Mots-clés libres : 16S rRNA metabarcoding, Short reads, Multi-block analysis, Raw milk cheese, Production environment, Risk factors, Food-borne zoonotic pathogens

Agences de financement hors UE : Université de Montpellier, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Agence Nationale de Sécurité Sanitaire de l'Alimentation, de l'Environnement et du Travail

Auteurs et affiliations

  • Chiadò Rana Alisia, Université de Montpellier (FRA)
  • Cazeau Géraldine, ANSES (FRA)
  • Bougeard Stéphanie, ANSES (FRA)
  • Bethune Kevin, CIRAD-PERSYST-UMR Qualisud (FRA) ORCID: 0009-0000-1504-4995
  • Chochois Vincent, CIRAD-PERSYST-UMR Qualisud (FRA) ORCID: 0000-0003-1348-9936
  • Teyssier Corinne, Université de Montpellier (FRA)
  • Valat Charlotte, ANSES (FRA) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/612917/)

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