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Dr. Thomas Hillen: Please sit on your hands for the next thirty minutes. We’ll take you out for coffee later if you listen

A Carbon Dioxide Driven Model for the Alveolar Lung

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Dr. Thomas Hillen: Please sit on your hands for the next thirty minutes. We’ll take you out for coffee later if you listen. A Carbon Dioxide Driven Model for the Alveolar Lung. PIMS Summer School May 14, 2004 James Bailey Appalachian State University Sean Laverty Millersville University. - PowerPoint PPT Presentation

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Page 1: A Carbon Dioxide Driven Model for the Alveolar Lung

Dr. Thomas Hillen:Please sit on your hands for the next

thirty minutes.

We’ll take you out for coffee later if you

listen

Page 2: A Carbon Dioxide Driven Model for the Alveolar Lung

A Carbon Dioxide Driven Model for the Alveolar Lung

PIMS Summer SchoolMay 14, 2004

James BaileyAppalachian State University

Sean LavertyMillersville University

Page 3: A Carbon Dioxide Driven Model for the Alveolar Lung

Problem Statement

Build a simple model of the breathing process, describing the concentration of oxygen within the lung during regular breathing.

Consider the following:

- Different breathing mechanisms

- Environmental conditions

- Presence of toxic chemicals

Page 4: A Carbon Dioxide Driven Model for the Alveolar Lung

Biological Background

Discussion of:

Respiration and Circulation

Constraints on Systems

Ventilation

Page 5: A Carbon Dioxide Driven Model for the Alveolar Lung

Respiration and Circulation

• Respiration –

Function: To provide oxygen [O2] to the blood and remove excess carbon dioxide [CO2] from the blood

• Circulation –

Function: A system responsible for transporting materials throughout the body via blood and respiratory pigments

Page 6: A Carbon Dioxide Driven Model for the Alveolar Lung

Constraints of diffusion

• Diffusion is extremely slow!While it works for unicellular organisms, it does not provide sufficient O2 to larger organisms

• A breath-taking example:

A one centimeter organism with a 100ml O2/kg/hr demand [less than half that of a resting human] would need an atmospheric pressure of 25 atms to rely on diffusion

Page 7: A Carbon Dioxide Driven Model for the Alveolar Lung

Ventilation

• The process beginning with the movement of atmospheric air into the alveoli, where gas exchange occurs, and the expulsion of the air from the body

• To depend on gas exchange by diffusion, the human lung contains roughly 300 million individual alveoli with a total surface area of nearly seventy square meters

Page 8: A Carbon Dioxide Driven Model for the Alveolar Lung

Capillary-Alveolar Transport

The flow of gas by diffusion depends on:- the diffusion coefficient – which itself

depends on the size and solubility of the gas molecules

- the alveolar surface area through which diffusion occurs

- the length of the path to the alveoli- the partial pressure gradient across the

membrane.

Page 9: A Carbon Dioxide Driven Model for the Alveolar Lung

Properties of Capillary Diffusion

ePP

vv

vAgcga

L

L

L

LPDvAQ

dxtxqptLAutAudxtxuAt

s

1)((

),(),(),0(),(000

Where:- A is the capillary cross-sectional area- L is the capillary length- v is the blood velocity- u is the gas concentration- p is the capillary surface area- q(x,t) is the flux per unit area across the capillary wall- Q is the total flux across the capillary wall- σ is the solubility of the gas in blood- Pgi is the partial pressure of the gas in its respective location- Ds is the diffusion coefficient of the gas

Page 10: A Carbon Dioxide Driven Model for the Alveolar Lung

The Gas Exchange Model:[The Mackey-Glass Equation]

'Vαxλdt

dx

Where:- x is the partial pressure of blood CO2

- λ is the rate of production of CO2

- α assumes that change in x varies linearly with the concentration-V’ is the ventilation rate described by the Hill equation

Page 11: A Carbon Dioxide Driven Model for the Alveolar Lung

The Hill Equation

xx

nn

n

mVV

'

Where:- Vm is the maximum tidal volume per breath- θ influences the rate of breathing- n influences the maximum CO2 level

Page 12: A Carbon Dioxide Driven Model for the Alveolar Lung

The Oxygen Concentration Equation:

[The Bailey-Laverty Equation]

R

αxVλiOdt

bO PdP '

2

2

Where:- PbO2

is the partial pressure of blood O2

-PiO2 is the partial pressure of inspired O2

Page 13: A Carbon Dioxide Driven Model for the Alveolar Lung

Ventilation-Perfusion Ratio:For Hypo- and Hyperventilation

R relates the volume of CO2 eliminated from the blood to the oxygen uptake through the lungs, and is equal to V’/Q as defined above

Page 14: A Carbon Dioxide Driven Model for the Alveolar Lung

Hold your breath, we’re almost there...

Page 15: A Carbon Dioxide Driven Model for the Alveolar Lung

Figures to Follow

Rapid Breathing-Blood Level Carbon Dioxide-Blood Level Oxygen

Blood Level Gases with Increasing Metabolic Rate-Carbon Dioxide-Oxygen

Blood Level Oxygen with Increasing Altitude-With No Exertion-With Exertion

Presence of Environmental Toxins

Page 16: A Carbon Dioxide Driven Model for the Alveolar Lung
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Suggestions for Further Study

Incorporate complexities which arise from the branching structure of the lung

- Our model assumes that the flow of the gas through the lung, and the flow of blood through capillary mesh surrounding the alveoli are both constant

- The model should incorporate pulmonary branch diameters, branching angles, and gravitational angles and the corresponding effects on the flow and distribution of gas

Page 25: A Carbon Dioxide Driven Model for the Alveolar Lung
Page 26: A Carbon Dioxide Driven Model for the Alveolar Lung

Suggestions for Further Study

Incorporate complexities which arise from environmental variations

- This model ignores variations in partial pressures of inspired inert gases

- The model ignores changes in humidity of inspired air

-The model ignores molecular mass and atomic structure of inspired gases and the effects on deposition

Page 27: A Carbon Dioxide Driven Model for the Alveolar Lung

Acknowledgements

Project Advisor - Dr. Thomas Hillen

PIMS Participant ProfessorsLaboratory Assistants

Keener and Sneyd

PIMS Participant Students