A computational model for microbial colonization of an antifouling surface

Area of Science:

• Marine biology
• Computational modeling
• Surface science

Background:

• Marine biofouling on surfaces like ship hulls presents significant industrial challenges.
• Antifouling (AF) paints are utilized to mitigate biofouling by releasing biocidal agents.
• Understanding the initial stages of microbial colonization on AF surfaces is crucial for improving AF technologies.

Purpose of the Study:

• To develop and utilize a computational model to simulate microbial colonization of biocide-releasing AF surfaces.
• To investigate the influence of microorganism biocide resistance, proliferation, and biofilm transition on fouling dynamics.
• To analyze the stochastic nature of AF surface colonization and identify key factors controlling biofilm establishment.

Main Methods:

• Development of a computational model simulating microbial arrival, biocide interaction, and biofilm formation.
• Incorporation of varying microorganism biocide resistance levels and environmental factors.
• Computer simulations to analyze colonization dynamics and waiting times for biofilm establishment.

Main Results:

• Biocide-resistant microorganisms initially form a loosely attached layer that transitions into a growing biofilm.
• Established biofilms shield immigrating microbes from biocides, enabling proliferation of susceptible strains.
• Colonization is highly stochastic, with waiting times exponentially dependent on biocide concentration and resistant microbe arrival rates.

Conclusions:

• Biofouling of AF surfaces exhibits inherent stochasticity, making it potentially unpredictable.
• The immigration of biocide-resistant species and the transition to biofilm physiology are critical factors influencing fouling onset.
• Findings suggest potential avenues for enhancing AF paint design and predicting fouling events.