Issue 33, 2020

Surface rheological properties alter aerosol formation from mucus mimetic surfaces

Abstract

The effects of surface tension and surface viscoelastic properties on the formation of aerosol droplets generated from mucus-like viscoelastic gels (mucus mimetics) during shearing with a high velocity air stream were investigated. Mucus mimetic samples were formulated with similar composition (94% water and 6% dissolved solids, consisting of mucins, proteins, and ions), surface tension (via the addition of surfactant to the mimetic surface) and bulk viscoelastic properties (via crosslinking of mucin macromolecules in the mimetic) to that of native non-diseased tracheal mucus. The surface tension of the mucus mimetic was decreased by spreading one of two surfactants, dipalmitoyl phosphatidylcholine (DPPC) or calf lung surfactant (Infasurf®), on the mimetic surface. Aerosols were generated from the mimetic surfaces during simulated coughing using an enhanced simulated cough machine (ESCM) operating under controlled environmental conditions. The size distribution of aerosol droplets generated during simulated coughing from the surfactant-coated mimetic surfaces was multimodal, while no droplets were generated from the bare mimetic surface due to its high surface viscoelastic properties and high surface tension. The concentration of aerosols generated from the DPPC-coated mimetic was higher than that of the Infasurf®-coated mimetic, even though the surface tension of the two interfaces was the same. The experimental results suggest that a balance of surface elastic behavior and surface viscous behavior is required for the generation of aerosols from the viscoelastic surfaces.

Graphical abstract: Surface rheological properties alter aerosol formation from mucus mimetic surfaces

Article information

Article type
Paper
Submitted
05 Jul 2020
Accepted
20 Jul 2020
First published
23 Jul 2020

Soft Matter, 2020,16, 7823-7834

Surface rheological properties alter aerosol formation from mucus mimetic surfaces

R. Hamed, D. M. Schenck and J. Fiegel, Soft Matter, 2020, 16, 7823 DOI: 10.1039/D0SM01232G

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