A 3D physical model predicting favorable bacteria adhesion.

Autor: do Nascimento RM; Centro de Ciências Físicas e Matemáticas, Universidade Federal de Santa Catarina, UFSC, 88040-900 Florianópolis, Santa Catarina, Brazil. Electronic address: rodney.nascimento79@gmail.com., Grauby-Heywang C; Laboratoire Ondes et Matière d'Aquitaine, Université de Bordeaux, CNRS, UMR 5798, 351 cours de la Libération, 33400 Talence, France., Kahli H; Laboratoire Ondes et Matière d'Aquitaine, Université de Bordeaux, CNRS, UMR 5798, 351 cours de la Libération, 33400 Talence, France., Debez N; Laboratoire Ondes et Matière d'Aquitaine, Université de Bordeaux, CNRS, UMR 5798, 351 cours de la Libération, 33400 Talence, France., Béven L; Université de Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 33140 Villenave d'Ornon, France., Bechtold IH; Centro de Ciências Físicas e Matemáticas, Universidade Federal de Santa Catarina, UFSC, 88040-900 Florianópolis, Santa Catarina, Brazil., Bouhacina TC; Laboratoire Ondes et Matière d'Aquitaine, Université de Bordeaux, CNRS, UMR 5798, 351 cours de la Libération, 33400 Talence, France.
Jazyk: angličtina
Zdroj: Colloids and surfaces. B, Biointerfaces [Colloids Surf B Biointerfaces] 2024 Jan; Vol. 233, pp. 113628. Date of Electronic Publication: 2023 Nov 02.
DOI: 10.1016/j.colsurfb.2023.113628
Abstrakt: Predicting the initial steps of bacterial biofilm formation remains a significant challenge accross various fields, such as medical and industrial ones. Here we present a straightforward 3D theoretical model based on thermodynamic rules to assess the early stages of biofilm formation on different material surfaces. This model relying also on morphological aspects of bacteria, we used Atomic Force Microscopy images of two Gram negative bacteria, Pseudomonas fluorescens and Escherichia coli to determine their dimensions and geometries as single cells or in aggregated states. Algorithms developed for our modeling and numerical simulations generated a dataset of energetic minimized states, depending on the substrate. The model was applied to substrates widely used for bacteria immobilization in imaging applications. The results show that the different minimum energy values, depending of the substrate, can be correlated with the bacterial adhesion state, representing a potential tool for evaluating the early stages of biofilm formation on various surfaces.
Competing Interests: 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.
(Copyright © 2023 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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