pO2
10
20
30
40
50
60
70
80
90
100
110
120
Y
0.18
0.4
0.65
0.8
0.87
0.92
0.94
0.95
0.95
0.96
0.96
0.97
Where pO2 is given in units of mmHg.
Data collected for tetrameric bovine hemoglobin binding to oxygen is given above. Using this data, (a) create the oxygen dissociation curve, perform a linear regression on the experimental data using built-in Matlab function, polyfit, and plot your best-fit model with the data to show that linearity exists.
I think we are supposed to use the Hill equation to capture the sigmoidal shape of the oxygen dissociation curve.
And Henry’s equation:
ln(Y/(1-Y)) = n*ln(pO2)+n*ln(P50)
where the model is linear in n and in P50
