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Related Experiment Video

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Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols
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Nasal Fluid Dynamics Visualization Using Particle Image Velocimetry in a 3D-Printed Nasal Replica Model.

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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
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    Summary

    This study introduces a novel method for visualizing nasal airflow, enhancing drug delivery research. The new technique combines Particle Image Velocimetry (PIV) with 3D-printed nasal models for accurate, real-time flow measurements.

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    Area of Science:

    • Biomedical Engineering
    • Fluid Dynamics
    • Pharmacology

    Background:

    • Nasal drug delivery effectiveness relies on understanding airflow patterns.
    • Traditional methods like dye visualization and CFD simulations have limitations in detailed 3D measurements and experimental validation.
    • Accurate airflow data is crucial for optimizing nasal drug delivery systems.

    Purpose of the Study:

    • To develop an innovative experimental platform for precise nasal airflow pattern visualization.
    • To overcome the limitations of existing methods in measuring 3D nasal airflow dynamics.
    • To provide reliable experimental data for advancing nasal drug delivery technologies.

    Main Methods:

    • Development of an experimental platform integrating Particle Image Velocimetry (PIV).
    • Utilization of a 3D-printed silicon-based nasal replica model.
    • Non-invasive, real-time measurement of airflow dynamics within the nasal cavity.

    Main Results:

    • Successful implementation of a novel platform for direct, high-quality nasal airflow measurements.
    • Acquisition of detailed 3D-flow pattern data, surpassing traditional methods.
    • Demonstration of the platform's capability for real-time airflow dynamics assessment.

    Conclusions:

    • The developed PIV-integrated 3D-printed nasal model offers a superior method for nasal airflow visualization.
    • This approach provides accurate, experimentally verified data for nasal drug delivery research.
    • The findings offer practical insights for improving future nasal drug delivery technologies.