Modeling and Experimental Validation of Microbial Transfer via Surface Touch.

Area of Science:

• Microbiology
• Physics
• Epidemiology

Background:

• Surface touch is a primary route for disease transmission via microbes.
• Existing studies show significant variability in measured microbial transfer rates.
• The underlying physical mechanisms of microbial transfer during touch remain poorly understood.

Purpose of the Study:

• To develop a novel physical model for accurately predicting microbial transfer rates during finger-surface interactions.
• To investigate the influence of physical factors such as surface roughness, wetness, touch force, and transfer direction on microbial transfer.
• To validate the model using experimental data and compare it with existing literature.

Main Methods:

• A new physical model was developed incorporating key physical parameters influencing microbial transfer.
• Four distinct touch modes were analyzed: single, sequential, repeated, and rubbing touches.
• Data from 26 previous studies were analyzed and compared against model predictions.
• Validation experiments were conducted using a custom touch machine, four microbial types, and controlled parameters.

Main Results:

• The proposed physical model demonstrated accurate prediction of microbial transfer rates.
• Experimental validation showed reduced variability in measured transfer rates compared to prior studies.
• The new experimental data closely aligned with the model's predictions.
• The model successfully identified prior studies with consistent transfer rates.

Conclusions:

• The developed physical model provides a mechanistic understanding of microbial transfer via surface touch.
• This model can accurately predict microbial transfer rates, accounting for critical physical variables.
• The findings offer a foundation for future research into microbial transmission dynamics and infection control strategies.