Title :

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

Author(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) - ULR 7394
Institut Charles Viollette (ICV) - EA 7394 [ICV]
Chihib, Nour-Eddine [Auteur]
Unité Matériaux et Transformations (UMET) - UMR 8207
Unité Matériaux et Transformations - UMR 8207 [UMET]

Journal title :

Archives of Microbiology

Abbreviated title :

Arch Microbiol

Volume number :

201

Pages :

679-690

Publisher :

Springer Science and Business Media LLC

Publication date :

2019-02-23

HAL domain(s) :

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

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS
INRA
ENSCL

Collections :

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

Research team(s) :

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

Submission date :

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