Annals of Biomedical Engineering

, Volume 40, Issue 7, pp 1495–1507 | Cite as

Effect of Carrier Gas Properties on Aerosol Distribution in a CT-based Human Airway Numerical Model

  • Shinjiro Miyawaki
  • Merryn H. Tawhai
  • Eric A. Hoffman
  • Ching-Long Lin
Article

Abstract

The effect of carrier gas properties on particle transport in the human lung is investigated numerically in an imaging based airway model. The airway model consists of multi-detector row computed tomography (MDCT)-based upper and intra-thoracic central airways. The large-eddy simulation technique is adopted for simulation of transitional and turbulent flows. The image-registration-derived boundary condition is employed to match regional ventilation of the whole lung. Four different carrier gases of helium (He), a helium–oxygen mixture (He–O2), air, and a xenon–oxygen mixture (Xe–O2) are considered. A steady inspiratory flow rate of 342 mL/s is imposed at the mouthpiece inlet to mimic aerosol delivery on inspiration, resulting in the Reynolds number at the trachea of Ret ≈ 190, 460, 1300, and 2800 for the respective gases of He, He–O2, air, and Xe–O2. Thus, the flow for the He case is laminar, transitional for He–O2, and turbulent for air and Xe–O2. The instantaneous and time-averaged flow fields and the laminar/transitional/turbulent characteristics resulting from the four gases are discussed. With increasing Ret, the high-speed jet formed at the glottal constriction is more dispersed around the peripheral region of the jet and its length becomes shorter. In the laminar flow the distribution of 2.5-μm particles in the central airways depends on the particle release location at the mouthpiece inlet, whereas in the turbulent flow the particles are well mixed before reaching the first bifurcation and their distribution is strongly correlated with regional ventilation.

Keywords

Regional particle distribution Helium Helium–oxygen mixture Air Xenon–oxygen mixture Laminar flow Transitional flow Turbulent flow 

Notes

Acknowledgments

This work was supported in part by NIH grants R01-HL094315, R01-HL064368, R01-EB005823, and S10-RR022421. The authors are grateful to Youbing Yin, Jiwoong Choi, and Haribalan Kumar for generating meshes and CT images of the airway model, assisting with the flow simulation, and assisting with the particle simulation respectively. We also thank the San Diego Supercomputer Center (SDSC), the Texas Advanced Computing Center (TACC), and XSEDE sponsored by the National Science Foundation for the computer time.

References

  1. 1.
    Balachandar, S., and J. K. Eaton. Turbulent dispersed multiphase flow. Annu. Rev. Fluid Mech. 42:111–133, 2010.CrossRefGoogle Scholar
  2. 2.
    Bennett, W. D. Targeting respiratory drug delivery with aerosol boluses. J. Aerosol Med. 4:69–78, 1991.CrossRefGoogle Scholar
  3. 3.
    Chan, T. L., and M. Lippmann. Experimental measurements and empirical modelling of the regional deposition of inhaled particles in humans. Am. Ind. Hyg. Assoc. J. 41:399–409, 1980.PubMedCrossRefGoogle Scholar
  4. 4.
    Choi, J., G. Xia, M. H. Tawhai, E. A. Hoffman, and C. L. Lin. Numerical study of high-frequency oscillatory air flow and convective mixing in a CT-based human airway model. Ann. Biomed. Eng. 38(12):3550–71, 2010.PubMedCrossRefGoogle Scholar
  5. 5.
    Corcoran, T. E., and S. Gamard. Development of aerosol drug delivery with helium oxygen gas mixtures. J. Aerosol Med. 17:299–309, 2004.PubMedCrossRefGoogle Scholar
  6. 6.
    Crompton, G. K. Problems patients have using pressurized aerosol inhalers. Eur. J. Respir. Dis. Suppl. 119:101–104, 1982.PubMedGoogle Scholar
  7. 7.
    Darquenne, C., C. van Ertbruggen, and G. K. Prisk. Convective flow dominates aerosol delivery to the lung segments. J. Appl. Physiol. 111:48, 2011.PubMedCrossRefGoogle Scholar
  8. 8.
    Dekker, E. Transition between laminar and turbulent flow in human trachea. J. Appl. Physiol. 16:1060, 1961.PubMedGoogle Scholar
  9. 9.
    Donovan, M. J., A. Gibbons, M. J. Herpin, S. Marek, S. L. McGill, and H. D. C. Smyth. Novel dry powder inhaler particle-dispersion systems. Ther. Deliv. 2:1295–1311, 2011.CrossRefGoogle Scholar
  10. 10.
    Finlay, W. H. The Mechanics of Inhaled Pharmaceutical Aerosols: An Introduction. Academic Press, London, 2001.Google Scholar
  11. 11.
    Gauderman, W. J., E. Avol, F. Gilliland, H. Vora, D. Thomas, K. Berhane, R. McConnell, N. Kuenzli, F. Lurmann, and E. Rappaport. The effect of air pollution on lung development from 10 to 18 years of age. N. Engl. J. Med. 351:1057–1067, 2004.PubMedCrossRefGoogle Scholar
  12. 12.
    Gauderman, W. J., C. Murcray, F. Gilliland, and D. V. Conti. Testing association between disease and multiple SNPs in a candidate gene. Genet. Epidemiol. 31:383–395, 2007.PubMedCrossRefGoogle Scholar
  13. 13.
    Gosman, A. D., and E. Ioannides. Aspects of computer simulation of liquid-fuelled combustors. J. Energy 7:482–490, 1983.CrossRefGoogle Scholar
  14. 14.
    Grgic, B., W. H. Finlay, P. K. P. Burnell, and A. F. Heenan. In vitro intersubject and intrasubject deposition measurements in realistic mouth-throat geometries. J. Aerosol Sci. 35:1025–1040, 2004.CrossRefGoogle Scholar
  15. 15.
    Heyder, J., J. Gebhart, G. Rudolf, C. F. Schiller, and W. Stahlhofen. Deposition of particles in the human respiratory tract in the size range 0.005–15 [mu] m. J. Aerosol Sci. 17:811–825, 1986.CrossRefGoogle Scholar
  16. 16.
    Hinds, W. C. Aerosol Technology: Properties, Behavior, and Measurement of Airborne Particles. New York: Wiley, 1982.Google Scholar
  17. 17.
    Horsfield, K., G. Dart, D. E. Olson, G. F. Filley, and G. Cumming. Models of the human bronchial tree. J. Appl. Physiol. 31:207, 1971.PubMedGoogle Scholar
  18. 18.
    Jayaraju, S. T., M. Brouns, C. Lacor, B. Belkassem, and S. Verbanck. Large eddy and detached eddy simulations of fluid flow and particle deposition in a human mouth-throat. J. Aerosol Sci. 39:862–875, 2008.CrossRefGoogle Scholar
  19. 19.
    Kleinstreuer, C., and Z. Zhang. Laminar-to-turbulent fluid-particle flows in a human airway model. Int. J. Multiphase Flow 29:271–289, 2003.CrossRefGoogle Scholar
  20. 20.
    Lambert, A. R., P. T. O’shaughnessy, M. H. Tawhai, E. A. Hoffman, and C. L. Lin. Regional deposition of particles in an image-based airway model: large-eddy simulation and left-right lung ventilation asymmetry. Aerosol Sci. Technol. 45:11–25, 2011.PubMedCrossRefGoogle Scholar
  21. 21.
    Lin, C. L., M. H. Tawhai, G. McLennan, and E. A. Hoffman. Characteristics of the turbulent laryngeal jet and its effect on airflow in the human intra-thoracic airways. Resp. Physiol. Neurobiol. 157:295–309, 2007.CrossRefGoogle Scholar
  22. 22.
    Lippmann, M., D. B. Yeates, and R. E. Albert. Deposition, retention, and clearance of inhaled particles. Br. J. Ind. Med. 37:337, 1980.PubMedGoogle Scholar
  23. 23.
    Ma, B., and K. R. Lutchen. CFD simulation of aerosol deposition in an anatomically based human large–medium airway model. Ann. Biomed. Eng. 37:271–285, 2009.PubMedCrossRefGoogle Scholar
  24. 24.
    Martonen, T. Mathematical model for the selective deposition of inhaled pharmaceuticals. J. Pharm. Sci. 82:1191–1199, 1993.PubMedCrossRefGoogle Scholar
  25. 25.
    Morsi, S. A., and A. J. Alexander. An investigation of particle trajectories in two-phase flow systems. J. Fluid Mech. 55:193–208, 1972.CrossRefGoogle Scholar
  26. 26.
    Ross, D. L., and R. K. Schultz. Effect of inhalation flow rate on the dosing characteristics of dry powder inhaler (DPI) and metered dose inhaler (MDI) products. J. Aerosol Med. 9:215–226, 1996.PubMedCrossRefGoogle Scholar
  27. 27.
    Sandeau, J., I. Katz, R. Fodil, B. Louis, G. Apiou-Sbirlea, G. Caillibotte, and D. Isabey. CFD simulation of particle deposition in a reconstructed human oral extrathoracic airway for air and helium-oxygen mixtures. J. Aerosol Sci. 41:281–294, 2010.CrossRefGoogle Scholar
  28. 28.
    Son, Y. J., and J. T. McConville. Advancements in dry powder delivery to the lung. Drug Dev. Ind. Pharm. 34:948–959, 2008.PubMedCrossRefGoogle Scholar
  29. 29.
    Stahlhofen, W., G. Rudolf, and A. C. James. Intercomparison of experimental regional aerosol deposition data. J. Aerosol Med. 2:285–308, 1989.CrossRefGoogle Scholar
  30. 30.
    Subramaniam, R. P., B. Asgharian, J. I. Freijer, F. J. Miller, and S. Anjilvel. Analysis of lobar differences in particle deposition in the human lung. Inhal. Toxicol. 15:1–21, 2003.PubMedCrossRefGoogle Scholar
  31. 31.
    Tawhai, M. H., P. Hunter, J. Tschirren, J. Reinhardt, G. McLennan, and E. A. Hoffman. CT-based geometry analysis and finite element models of the human and ovine bronchial tree. J. Appl. Physiol. 97:2310, 2004.PubMedCrossRefGoogle Scholar
  32. 32.
    van Ertbruggen, C., C. Hirsch, and M. Paiva. Anatomically based three-dimensional model of airways to simulate flow and particle transport using computational fluid dynamics. J. Appl. Physiol. 98:970, 2005.PubMedCrossRefGoogle Scholar
  33. 33.
    Vreman, A. W. An eddy-viscosity subgrid-scale model for turbulent shear flow: algebraic theory and applications. Phys. Fluids 16:3670, 2004.CrossRefGoogle Scholar
  34. 34.
    Wall, W. A., and T. Rabczuk. Fluid–structure interaction in lower airways of CT-based lung geometries. Int. J. Numer. Methods Fluids 57:653–675, 2008.CrossRefGoogle Scholar
  35. 35.
    Weibel, E. R. Morphometry of the human lung. Anesthesiology 26:367, 1965.CrossRefGoogle Scholar
  36. 36.
    Yin, Y., J. Choi, E. A. Hoffman, M. H. Tawhai, and C. L. Lin. Simulation of pulmonary air flow with a subject-specific boundary condition. J. Biomech. 43:2159–2163, 2010.PubMedCrossRefGoogle Scholar
  37. 37.
    Zhou, Y., and Y. S. Cheng. Particle deposition in a cast of human tracheobronchial airways. Aerosol Sci. Technol. 39:492–500, 2005.CrossRefGoogle Scholar

Copyright information

© Biomedical Engineering Society 2012

Authors and Affiliations

  • Shinjiro Miyawaki
    • 1
    • 3
  • Merryn H. Tawhai
    • 7
  • Eric A. Hoffman
    • 4
    • 5
    • 6
  • Ching-Long Lin
    • 2
    • 3
  1. 1.Department of Civil and Environmental EngineeringThe University of IowaIowa CityUSA
  2. 2.Department of Mechanical and Industrial EngineeringThe University of IowaIowa CityUSA
  3. 3.IIHR-Hydroscience and EngineeringThe University of IowaIowa CityUSA
  4. 4.Department of RadiologyThe University of IowaIowa CityUSA
  5. 5.Department of Biomedical EngineeringThe University of IowaIowa CityUSA
  6. 6.Department of MedicineThe University of IowaIowa CityUSA
  7. 7.Bioengineering InstituteThe University of AucklandAucklandNew Zealand

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