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Effect of intersubject variability of extrathoracic airways on particle deposition Hussain Majid Ph.D Scholar
Introduction The  ET (nasal and oral) airways are the first route and serve as a filter for the inhaled particles.  The ET airways are the important determinant of doses delivered by inhaled particles to the lung.  Since the structure of the ET airway geometry exhibit significant intersubject variations, it affects both extrathoracic deposition and in further consequence, the fraction of inhaled particles reaching the lung. The current study is focused on the effect of inter-subject variability of ET airways on particle deposition.
Morphmetry of ET region ET region can be subdivided into following regions Nasal Cavity Oral Cavity Turbinate region Nasopharynx Oropharynx   Hypopharynx Larynx
Nasal Intersubject Variability  Nasal dimentions and particle deposition vary significantly among individuals Nasal airway dimensions measured by  K.H. Cheng et al. (1996) using MRI technique in 10 adults male were used in the current study to determine nasal and total deposition   Tomographic pictures of nasal cross-sectional geometry by Montgomery et al. (1979)
Important Parameters Affecting Nasal Deposition Shape Factor ( S f ) Measure of the complexity of the airway dimensions It is the ratio of the airway perimeter to a reference perimeter or a normalized surface area Larger values of  S f  result in a higher intensitiy of turbulences which creates more secondary flows and increases probability of particle deosition Minimun Cross-Sectional Area   ( A min ) Minimum cross-sectional area is the characteristic nasal airway dimension measured in units of cm 2 . Smaller values of  A min  found to be associated with increased probability of particle deposition
Oral Intersubject Variability  Oral dimentsions and particle deposition vary significantly among individuals Oral airway dimensions measured by  B.Grgic   at al. ( 2004) using MRI technique in 5 adults male were used in the current study to determine oral and total deposition   Oral cross-sectional geometry by T.R Sosnowski et al. (2006)
Equivalent Diameter  ( L )  Affecting Oral Deposition It is the  equivalent diameter of the average cross sectional area of the oropharyngeal airway   Smaller values of ´ L ´   are   found to be associated with increased probability of particle deposition Darker regions correspond to more deposition
Effects of Intersubject Variability Enhanced disturbance in air flow structure (enhanced turbulance, secondary flow) Aerosol filtration as well as penetration efficiency varies with biological variability in ETairway Deposition efficiency  depends upon geometric parameters of ET passage Regional and total lung deposition efficiency varies with the biological variabilty of ET airway passages
Deposition Regimes Depending on particle size and its deposition efficiency, two deposition regimes can be defined Diffusion deposition regime Impaction deposition regime Diffusion deposition regime For  particle size ≤0.2 µm , diffusion deposition is dominant and hence classified as diffusion deposition regime Diffusion deposition is primarily dependent on  diffusion coefficient ( D ) and  flow rate ( Q )  Nasal deposition efficiency is fitted by the equation
Deposition Regimes (cont...) Impaction regime For particle size >0.2 µm, impaction deposition is dominant  and classified as impaction deposition regime  Impaction deposition is primarily dependent on  aerodynamic diameter ( d a ) and flow rate ( Q ) Nasal Impaction deposition is approximated by the equation where  is the dimensionless  Stokes number
Deposition Regimes (cont...) Oral Impaction deposition is approximated by the equation where  is the dimentionless  stokes number
Method for deposition calculations For calculation of extrathoracic, regional and total deposition, semi-empirical equations were   implemented into the Monte Carlo deposition code IDEAL (Hofmann & Koblinger, 1990) Unit density monodisperse particles in the size range of 0.001-10 µm were used under sitting and light exercise breathing conditions. Uniform breathing with equal inspiration and expiration and zero breath hold time was assumed at a fixed value of functional residual capacity (FRC) of 3300 ml in the lung
Method for deposition calculations (Contd..) Total and regional particle deposition was calculated by stochastic airway generation model IDEAL (Hofmann & Koblinger 1990 ) Results for both regimes were combined in one diagram for whole particle size range The obtained results were then compared with some other semi-empirical equations derived so far for calculation of deposition fractions
Method for deposition calculations (Contd..) Other formulas used for calculations Nasal deposition By ICRP (1996) By NCRP (1997) d a  ≤0.2 µm d a  >0.2 µm d a  >0.2 µm d a  ≤0.2 µm
Method for deposition calculations (Contd..) Other formulas used for calculations Nasal deposition By Zongqin Zhang and G. Yue in 2003   Cheng et. al. 2003   Asgharian et al. (2004)
Method for deposition calculations (Contd..) Other formulas used for calculations Oral deposition By ICRP (1996) By NCRP (1997) d a  ≤0.2 µm d a  >0.2 µm d a  >0.2 µm d a  ≤0.2 µm Cheng et. al. 2003
Results The simulated effects of intersubject variability of ET airway on nasal, oral and total deposition are presented here in the following figures
 
 
 
 
 
 
 
Effect of intersubject variability expressed in the form of coefficient of variation (CV) on nasal oral and total deposition for different particle size under sitting, light exercise conditions
Summary of results For nasal deposition larger values of  S f  and smaller values of  A min   cause higher deposition efficiency.   Larger values of  S f   a is measure of larger complexity which increases turbulences in flow and cause secondary flows and hence increases the probability of particle deposition.  Small values of  A min  which is variable during breathing cycle is a hindrance to smooth flow and hence increases the deposition probability.   At very low and high flow rates deposition efficiency for 1 nm and 10 µm particles approach 100 percent in nasal airways.   The penetration efficiency and hence deposition in the downstream airway generations is also different for all subjects especially for ultra fine particles.
Summary of results (contd…) For oral deposition in the impaction regime smaller values of  L  cause higher deposition efficiency.  The trend for higher deposition efficiency for smaller value of  L  can also be observed with an increase in flow rate.   This higher deposition for smaller values of the equivalent diameter is due to increases in turbulences caused by the narrow parts of the oral passages.  At very low and high flow rates deposition efficiency for 1 nm and 10 µm particles is highest. The penetration efficiency in downstream airway generations for oral breathing in all subjects doesn’t show variability except for an idealized mouth.
Conclusions The range of the experimentally observed deposition efficiencies could be approximated by 2 standard deviations of  S f   ,  A min  and L  values.  Thus, it was assumed that intersubject variations of the ET deposition are determined primarily by corresponding fluctuations of  S f  ,  A min  and  L  values .
Dankeschön

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Effect of intersubject variability of extrathoracic airways on particle deposition

  • 1. Effect of intersubject variability of extrathoracic airways on particle deposition Hussain Majid Ph.D Scholar
  • 2. Introduction The ET (nasal and oral) airways are the first route and serve as a filter for the inhaled particles. The ET airways are the important determinant of doses delivered by inhaled particles to the lung. Since the structure of the ET airway geometry exhibit significant intersubject variations, it affects both extrathoracic deposition and in further consequence, the fraction of inhaled particles reaching the lung. The current study is focused on the effect of inter-subject variability of ET airways on particle deposition.
  • 3. Morphmetry of ET region ET region can be subdivided into following regions Nasal Cavity Oral Cavity Turbinate region Nasopharynx Oropharynx Hypopharynx Larynx
  • 4. Nasal Intersubject Variability Nasal dimentions and particle deposition vary significantly among individuals Nasal airway dimensions measured by K.H. Cheng et al. (1996) using MRI technique in 10 adults male were used in the current study to determine nasal and total deposition Tomographic pictures of nasal cross-sectional geometry by Montgomery et al. (1979)
  • 5. Important Parameters Affecting Nasal Deposition Shape Factor ( S f ) Measure of the complexity of the airway dimensions It is the ratio of the airway perimeter to a reference perimeter or a normalized surface area Larger values of S f result in a higher intensitiy of turbulences which creates more secondary flows and increases probability of particle deosition Minimun Cross-Sectional Area ( A min ) Minimum cross-sectional area is the characteristic nasal airway dimension measured in units of cm 2 . Smaller values of A min found to be associated with increased probability of particle deposition
  • 6. Oral Intersubject Variability Oral dimentsions and particle deposition vary significantly among individuals Oral airway dimensions measured by B.Grgic at al. ( 2004) using MRI technique in 5 adults male were used in the current study to determine oral and total deposition Oral cross-sectional geometry by T.R Sosnowski et al. (2006)
  • 7. Equivalent Diameter ( L ) Affecting Oral Deposition It is the equivalent diameter of the average cross sectional area of the oropharyngeal airway Smaller values of ´ L ´ are found to be associated with increased probability of particle deposition Darker regions correspond to more deposition
  • 8. Effects of Intersubject Variability Enhanced disturbance in air flow structure (enhanced turbulance, secondary flow) Aerosol filtration as well as penetration efficiency varies with biological variability in ETairway Deposition efficiency depends upon geometric parameters of ET passage Regional and total lung deposition efficiency varies with the biological variabilty of ET airway passages
  • 9. Deposition Regimes Depending on particle size and its deposition efficiency, two deposition regimes can be defined Diffusion deposition regime Impaction deposition regime Diffusion deposition regime For particle size ≤0.2 µm , diffusion deposition is dominant and hence classified as diffusion deposition regime Diffusion deposition is primarily dependent on diffusion coefficient ( D ) and flow rate ( Q ) Nasal deposition efficiency is fitted by the equation
  • 10. Deposition Regimes (cont...) Impaction regime For particle size >0.2 µm, impaction deposition is dominant and classified as impaction deposition regime Impaction deposition is primarily dependent on aerodynamic diameter ( d a ) and flow rate ( Q ) Nasal Impaction deposition is approximated by the equation where is the dimensionless Stokes number
  • 11. Deposition Regimes (cont...) Oral Impaction deposition is approximated by the equation where is the dimentionless stokes number
  • 12. Method for deposition calculations For calculation of extrathoracic, regional and total deposition, semi-empirical equations were implemented into the Monte Carlo deposition code IDEAL (Hofmann & Koblinger, 1990) Unit density monodisperse particles in the size range of 0.001-10 µm were used under sitting and light exercise breathing conditions. Uniform breathing with equal inspiration and expiration and zero breath hold time was assumed at a fixed value of functional residual capacity (FRC) of 3300 ml in the lung
  • 13. Method for deposition calculations (Contd..) Total and regional particle deposition was calculated by stochastic airway generation model IDEAL (Hofmann & Koblinger 1990 ) Results for both regimes were combined in one diagram for whole particle size range The obtained results were then compared with some other semi-empirical equations derived so far for calculation of deposition fractions
  • 14. Method for deposition calculations (Contd..) Other formulas used for calculations Nasal deposition By ICRP (1996) By NCRP (1997) d a ≤0.2 µm d a >0.2 µm d a >0.2 µm d a ≤0.2 µm
  • 15. Method for deposition calculations (Contd..) Other formulas used for calculations Nasal deposition By Zongqin Zhang and G. Yue in 2003 Cheng et. al. 2003 Asgharian et al. (2004)
  • 16. Method for deposition calculations (Contd..) Other formulas used for calculations Oral deposition By ICRP (1996) By NCRP (1997) d a ≤0.2 µm d a >0.2 µm d a >0.2 µm d a ≤0.2 µm Cheng et. al. 2003
  • 17. Results The simulated effects of intersubject variability of ET airway on nasal, oral and total deposition are presented here in the following figures
  • 18.  
  • 19.  
  • 20.  
  • 21.  
  • 22.  
  • 23.  
  • 24.  
  • 25. Effect of intersubject variability expressed in the form of coefficient of variation (CV) on nasal oral and total deposition for different particle size under sitting, light exercise conditions
  • 26. Summary of results For nasal deposition larger values of S f and smaller values of A min cause higher deposition efficiency. Larger values of S f a is measure of larger complexity which increases turbulences in flow and cause secondary flows and hence increases the probability of particle deposition. Small values of A min which is variable during breathing cycle is a hindrance to smooth flow and hence increases the deposition probability. At very low and high flow rates deposition efficiency for 1 nm and 10 µm particles approach 100 percent in nasal airways. The penetration efficiency and hence deposition in the downstream airway generations is also different for all subjects especially for ultra fine particles.
  • 27. Summary of results (contd…) For oral deposition in the impaction regime smaller values of L cause higher deposition efficiency. The trend for higher deposition efficiency for smaller value of L can also be observed with an increase in flow rate. This higher deposition for smaller values of the equivalent diameter is due to increases in turbulences caused by the narrow parts of the oral passages. At very low and high flow rates deposition efficiency for 1 nm and 10 µm particles is highest. The penetration efficiency in downstream airway generations for oral breathing in all subjects doesn’t show variability except for an idealized mouth.
  • 28. Conclusions The range of the experimentally observed deposition efficiencies could be approximated by 2 standard deviations of S f , A min and L values. Thus, it was assumed that intersubject variations of the ET deposition are determined primarily by corresponding fluctuations of S f , A min and L values .