Titre :

Impact of growth temperature on the adhesion of colistin-resistant Escherichia coli strains isolated from pigs to food-contact-surfaces

Auteur(s) :

Abdallah, Marwan [Auteur]
United Arab Emirates University [UAEU]
Mourad, Rabih [Auteur]
الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth] [LU / ULB]
Khelissa, Simon [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Jama, charafeddine [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Abozid, Medhat [Auteur]
Menofia University
Drider, Djamel [Auteur]
Institut Charles Viollette (ICV) - EA 7394 [ICV]
Institut Charles Viollette (ICV) - ULR 7394
Chihib, Nour-Eddine [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Unité Matériaux et Transformations (UMET) - UMR 8207

Titre de la revue :

Archives of Microbiology

Nom court de la revue :

Arch Microbiol

Numéro :

201

Pagination :

679-690

Éditeur :

Springer Science and Business Media LLC

Date de publication :

2019-02-23

Discipline(s) HAL :

Chimie/Polymères
Chimie/Matériaux
Sciences du Vivant [q-bio]

Résumé en anglais : [en]

This study investigated the effect of the growth temperature (20 and 37 °C) of Escherichia coli strains isolated from pigs on their adhesion to stainless steel and polycarbonate. This study also evaluated the ability of ...
Lire la suite >This study investigated the effect of the growth temperature (20 and 37 °C) of Escherichia coli strains isolated from pigs on their adhesion to stainless steel and polycarbonate. This study also evaluated the ability of the DLVO and XDLVO mathematical models to predict this adhesion. The rise of growth temperature from 20 to 37 °C significantly influenced the adhesion of studied E. coli strains. The data also underlined that the mathematical prediction did not fully match with the experimental bacterial adhesion to surfaces. Furthermore, results showed that the colistin-resistant and sensitive E. coli strains adhesion depends on the type of abiotic surface. Based on these results, the mathematical models are limited in the prediction of the bacterial adhesion to abiotic surfaces. The surface roughness is a major parameter of the bacterial adhesion and should be included in the future mathematical models predicting the bacterial adhesion.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CNRS
INRA
ENSCL

Collections :

• BioEcoAgro - UMR-T 1158
• Unité Matériaux et Transformations (UMET) - UMR 8207

Équipe(s) de recherche :

Ingénierie des Systèmes Polymères
Processus aux Interfaces et Hygiène des Matériaux (PIHM)

Date de dépôt :

2020-07-09T17:25:25Z
2020-08-27T13:19:25Z
2021-05-25T12:21:47Z