ArticleScientific reports2015
Particle dynamics and deposition in true-scale pulmonary acinar models.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed, 94 citations in OpenAlex.
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- Small scale electrostatically-driven aerosol deposition inFrontiers in physiology · 2025Article
- Perspectives on physics-based one-dimensional modeling of lung physiology.Frontiers in physiology · 2025Article
- Exploring the role of electrostatic deposition on inhaled aerosols in alveolated microchannels.Scientific reports · 2023Article
- Advanced models for respiratory disease and drug studies.Medicinal research reviews · 2023Review
- A multiplex inhalation platform to modelFrontiers in pharmacology · 2023Article
- Organs-on-Chips Platforms Are Everywhere: A Zoom on Biomedical Investigation.Bioengineering (Basel, Switzerland) · 2022Review
- Microflows in two-generation alveolar cells at an acinar bifurcation.Biomicrofluidics · 2022Article
- Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model.PLoS computational biology · 2022Article
- Monitoring in vivo behavior of size-dependent fluorescent particles as a model fine dust.Journal of nanobiotechnology · 2022Article
- A new device for bronchoscopy for better protection.Turkish journal of medical sciences · 2022Article
- Microparticle Transport and Sedimentation in a Rhythmically Expanding Alveolar Chip.Micromachines · 2022Article
- Recent advances in the understanding of alveolar flow.Biomicrofluidics · 2022Review
- Small Airway Susceptibility to Chemical and Particle Injury.Respiration; international review of thoracic diseases · 2022Review
- Human Multi-CompartmentFrontiers in physiology · 2022Article
- Engineering of a functional pancreatic acinus with reprogrammed cancer cells by inducedLab on a chip · 2021Article
- Physiological and Disease Models of Respiratory System Based on Organ-on-a-Chip Technology.Micromachines · 2021Review
- Advanced human-relevant in vitro pulmonary platforms for respiratory therapeutics.Advanced drug delivery reviews · 2021Review
- Reversed-engineered human alveolar lung-on-a-chip model.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Particle transport phenomena in the deep alveolated airways of the lungs (i.e. pulmonary acinus) govern deposition outcomes following inhalation of hazardous or pharmaceutical aerosols. Yet, there is still a dearth of experimental tools for resolving acinar particle dynamics and validating numerical simulations. Here, we present a true-scale experimental model of acinar structures consisting of bifurcating alveolated ducts that capture breathing-like wall motion and ensuing respiratory acinar flows. We study experimentally captured trajectories of inhaled polydispersed smoke particles (0.2 to 1 μm in diameter), demonstrating how intrinsic particle motion, i.e. gravity and diffusion, is crucial in determining dispersion and deposition of aerosols through a streamline crossing mechanism, a phenomenon paramount during flow reversal and locally within alveolar cavities. A simple conceptual framework is constructed for predicting the fate of inhaled particles near an alveolus by identifying capture and escape zones and considering how streamline crossing may shift particles between them. In addition, we examine the effect of particle size on detailed deposition patterns of monodispersed microspheres between 0.1-2 μm. Our experiments underline local modifications in the deposition patterns due to gravity for particles ≥0.5 μm compared to smaller particles, and show good agreement with corresponding numerical simulations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.