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This study aims to investigate the fluid mechanical properties and particle dynamics of mucus in a biomimetic synthetic larynx model, focusing on aerosol and droplet formation under varying conditions of vocal fold adduction, oscillation frequency, and synthetic mucus liquids. A synthetic larynx model, equipped with multi-layered silicone vocal folds, was used to replicate human laryngeal dynamics and vocal fold oscillation. Two types of synthetic mucus, varying in visco-elastic properties, were used for aerosol generation. Vocal fold oscillations were driven by controlled airflow, and measurements of subglottal pressure, sound pressure levels, and particle velocities, which were acquired using high-speed cameras and laser-based high-speed particle image velocimetry. The surface of the synthetic vocal folds was treated to enhance wettability, mimicking human tissue more accurately. The study identified two distinct phonation modes characterized by different oscillation patterns and particle dynamics. The first phonation mode exhibited larger, more stable vortices and higher aerosol particle counts, while the second phonation mode showed higher oscillation frequencies with smaller, less coherent vortices and lower particle counts. The synthetic mucus with lower surface tension produced a higher number of aerosol particles and greater particle velocities compared to the mucus with higher surface tension. The results underscore the importance of mucus properties and vocal fold dynamics in aerosol generation. The study provides insights into the mechanisms of aerosol formation in the upper respiratory tract, with implications for understanding respiratory disease transmission.
This study aims to investigate the fluid mechanical properties and particle dynamics of mucus in a biomimetic synthetic larynx model, focusing on aerosol and droplet formation under varying conditions of vocal fold adduction, oscillation frequency, and synthetic mucus liquids. A synthetic larynx model, equipped with multi-layered silicone vocal folds, was used to replicate human laryngeal dynamics and vocal fold oscillation. Two types of synthetic mucus, varying in visco-elastic properties, were used for aerosol generation. Vocal fold oscillations were driven by controlled airflow, and measurements of subglottal pressure, sound pressure levels, and particle velocities, which were acquired using high-speed cameras and laser-based high-speed particle image velocimetry. The surface of the synthetic vocal folds was treated to enhance wettability, mimicking human tissue more accurately. The study identified two distinct phonation modes characterized by different oscillation patterns and particle dynamics. The first phonation mode exhibited larger, more stable vortices and higher aerosol particle counts, while the second phonation mode showed higher oscillation frequencies with smaller, less coherent vortices and lower particle counts. The synthetic mucus with lower surface tension produced a higher number of aerosol particles and greater particle velocities compared to the mucus with higher surface tension. The results underscore the importance of mucus properties and vocal fold dynamics in aerosol generation. The study provides insights into the mechanisms of aerosol formation in the upper respiratory tract, with implications for understanding respiratory disease transmission.
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