Improving Pulmonary Nanotherapeutics Using Helical Aerosol Streams: An In Silico Study.

J Biomech Eng

Department of Mechanical & Aerospace Engineering, North Carolina State University, Raleigh, NC 27695; Department of Biomedical Engineering, Joint UNC-NCSU, Raleigh, NC 27695.

Published: November 2021

The increasing prevalence of pulmonary ailments including asthma, chronic obstructive pulmonary disorder, lung tuberculosis, and lung cancer, coupled with the success of pulmonary therapy, has led to a plethora of scientific research focusing on improving the efficacy of pulmonary drug delivery systems. Recent advances in nanoscience and nano-engineering help achieve this by developing stable, potent, inhalable nanosize drug formulations that potentially increase dosages at target sites with significant therapeutic effects. In this study, we numerically analyze a novel methodology of incorporating helical air-nanoparticle streams for pulmonary nanotherapeutics, using a customized version of the open-source computational fluid dynamics (CFD) toolbox openfoam. As nanoparticles predominantly follow streamlines, helical airflow transports them in a centralized core along the human upper respiratory tract, thereby minimizing deposition and hence waste on the oropharyngeal walls, potentially also reducing the risk of drug-induced toxicity in healthy tissues. Advancing our previous study on micron-particle dynamics, helical streams are shown to improve the delivery of nanodrugs, to deeper lung regions when compared to a purely axial fluid-particle jet. For example, an optimal helical stream featuring a volumetric flow rate of 30 L/min, increased the delivery of 300-nm particles to regions beyond generation 3 by 5%, in comparison to a conventional axial jet. Results from regional deposition studies are presented to demonstrate the robustness of helical flows in pulmonary drug delivery, thus paving the way toward successful implementation of the novel methodology in nanotherapeutics.

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Source
http://dx.doi.org/10.1115/1.4051217DOI Listing

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