The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
COMPUTATIONAL FLUID DYNAMICS SIMULATIONS OF INSPIRATORY AIRFLOW IN THE HUMAN NOSE AND NASOPHARYNX
Abstract
Extrapolation of the regional dose of an inhaled xenobiotic from laboratory animals to humans for purposes of assessing human health risk is problematic because of large interspecies differences in nasal respiratory physiology and airway anatomy. There is a need for dosimetry models that can adjust for these differences in the upper respiratory tract. The present work extends previous efforts in this laboratory and elsewhere to simulate nasal airflow profiles numerically in laboratory animals and humans. A three-dimensional, anatomically accurate representation of an adult human nasal cavity and nasopharynx was constructed. The Navier-Stokes and continuity equations for airflow were solved using the finite-element method under steady-state, inspiratory conditions simulating rest and light exercise (steady-state inspiratory flow rates: 15 L/min and 26 L/min, respectively) with the fluid dynamics software package FIDAP. Simulated airflow was streamlined in the main nasal passages and complex in the vestibule and nasopharynx. Swirling air currents and recirculating flow were predicted in the nasal vestibule, and the expansion at the nasopharynx gave rise to two downward, countercurrent, spiraling vortices. Significant lateral flow was observed mainly in the middle lateral meatus. Flow apportionment among different regions of the nose remained almost unchanged between the two inspiratory rates simulated. Fastest flow occurred in the posterior nasal valve region. In the main nasal airway, the highest airspeeds occurred through the ventral and middle medial regions. Simulated velocity fields and pressure drops across the nasal cavity generally agreed with experimental results from the literature. It is proposed that this model can be used to reduce uncertainty in human health risk assessment for inhaled materials and to assess changes in airflow and nasal resistance due to common surgical procedures and medical conditions.
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Cites
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Numerical Simulation of Airflow in the Human Nasal Cavity
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Velocity profiles measured for airflow through a large-scale model of the human nasal cavity
Hahn, I., Scherer, P. W., & Mozell, M. M. (1993) · Journal of Applied Physiology · doi:10.1152/jappl.1993.75.5.2273 · Cited by 355
Clinical Anatomy of the Nose, Nasal Cavity and Paranasal Sinuses
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Self-citationMaximum Nasal Inspiratory Flow and Nasal Resistance
Bridger, G. P., & Proctor, D. F. (1970) · Annals of Otology, Rhinology & Laryngology · doi:10.1177/000348947007900308 · Cited by 174
Analysis of air flow patterns in the human nose
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XLI Air Currents in the Upper Respiratory Tract and Their Clinical Importance
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Cited by
Effect of Anatomy on Human Nasal Air Flow and Odorant Transport Patterns: Implications for Olfaction
Zhao, K. (2004) · Chemical Senses · doi:10.1093/chemse/bjh033 · Cited by 361
The Air-Conditioning Capacity of the Human Nose
Naftali, S., Rosenfeld, M., Wolf, M., & Elad, D. (2005) · Annals of Biomedical Engineering · doi:10.1007/s10439-005-2513-4 · Cited by 193
Morphological variation and airflow dynamics in the human nose
Churchill, S. E., Shackelford, L. L., Georgi, J. N., & Black, M. T. (2004) · American Journal of Human Biology · doi:10.1002/ajhb.20074 · Cited by 174
Kimbell, J. S., Frank, D. O., Laud, P., Garcia, G. J. M., & Rhee, J. S. (2013) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2013.08.007 · Cited by 119
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Metadata
- Authors
- Subramaniam, R. P., Richardson, R. B., Morgan, K. T., Kimbell, J. S., & Guilmette, R. A.
- Venue
- Inhalation Toxicology
- Publisher
- Informa UK Limited
- Published
- 1998-01
- Volume
- 10
- Issue
- 2
- Pages
- 91-120
- ISSN
- 0895-8378 (ISSN-L)
- 1091-7691
- OpenAlex
- W1846672435
- Cited by
- 269
- References
- 18
- FWCI
- 8.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: COMPUTATIONAL FLUID DYNAMICS SIMULATIONS OF INSPIRATORY AIRFLOW IN THE HUMAN NOSE AND NASOPHARYNX. https://app.cochat.ai/papers/10.1080/089583798197772
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- Subramaniam, R. P., Richardson, R. B., Morgan, K. T., Kimbell, J. S., & Guilmette, R. A. (1998). COMPUTATIONAL FLUID DYNAMICS SIMULATIONS OF INSPIRATORY AIRFLOW IN THE HUMAN NOSE AND NASOPHARYNX. Inhalation Toxicology. https://doi.org/10.1080/089583798197772
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.