journal article·2024-07Open access

High‐Resolution Large‐Area Image Analysis Deciphers the Distribution of Salmonella Cells and ECM Components in Biofilms Formed on Charged PEDOT:PSS Surfaces

Sanhita Ray, Susanne Löffler, Agneta Richter‐Dahlfors

Advanced Science· Volume 11· Issue 27

Abstract

Abstract Biofilms, comprised of cells embedded in extracellular matrix (ECM), enable bacterial surface colonization and contribute to pathogenesis and biofouling. Yet, antibacterial surfaces are mainly evaluated for their effect on bacterial cells rather than the ECM. Here, a method is presented to separately quantify amounts and distribution of cells and ECM in Salmonella biofilms grown on electroactive poly(3,4‐ethylenedioxythiophene):polystyrenesulfonate (PEDOT:PSS). Within a custom‐designed biofilm reactor, biofilm forms on PEDOT:PSS surfaces electrically addressed with a bias potential and simultaneous recording of the resulting current. The amount and distribution of cells and ECM in biofilms are analyzed using a fluorescence‐based spectroscopic mapping technique and fluorescence confocal microscopy combined with advanced image processing. The study shows that surface charge leads to upregulated ECM production, leaving the cell counts largely unaffected. An altered texture is also observed, with biofilms forming small foci or more continuous structures. Supported by mutants lacking ECM production, ECM is identified as an important target when developing antibacterial strategies. Also, a central role for biofilm distribution is highlighted that likely influences antimicrobial susceptibility in biofilms. This work provides yet a link between conductive polymer materials and bacterial metabolism and reveals for the first time a specific effect of electrochemical addressing on bacterial ECM formation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Bacterial biofilms and quorum sensing · Microplastics and Plastic Pollution · Polymer Surface Interaction Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

AIMES – Center for the Advancement of Integrated Medical and Engineering Sciences at Karolinska Institutet and KTH Royal Institute of Technology Stockholm SE‐171 77 Sweden

Department of Neuroscience Karolinska Institutet Stockholm SE‐171 77 Sweden

Funding

Vetenskapsrådet · Kungliga Tekniska Högskolan · Karolinska Institutet

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