Direct and Fast Assessment of Antimicrobial Surface Activity Using Molecular Dynamics Simulation and Time-Lapse...

Area of Science:

• Biophysics
• Materials Science
• Microbiology

Background:

• Antimicrobial resistance necessitates novel methods to study bacteria-surface interactions.
• Conventional techniques like SEM and CFU counting are time-consuming and require extensive sample preparation.

Purpose of the Study:

• To develop and validate a direct, rapid method for analyzing bacteria-surface interactions at the membrane-substrate level.
• To predict and statistically analyze bacterial behavior and viability on nanostructured surfaces using in silico and live imaging approaches.

Main Methods:

• Molecular dynamics simulations of nanostructured surfaces for in silico predictions.
• Time-lapse fluorescence imaging of live bacteria (E. coli) with stained nucleoids and membranes.
• Analysis of bacterial cell reorientation, clustering, membrane damage, and growth inhibition on nanopillar surfaces.

Main Results:

• The combined simulation and imaging method accurately predicted bacterial responses to nanopillar surfaces.
• Observed phenomena included cell reorientation, clustering, membrane damage, and growth inhibition.
• Bactericidal effects, including cell disappearance on hydrocarbon-coated nanopillars, were detected and correlated with surface properties.

Conclusions:

• This novel method offers a fast and effective alternative for studying bacteria-surface interactions and predicting antimicrobial effects.
• The approach allows for rapid processing of microscopy data (under 1 hour) and direct correlation with surface morphology and wettability.