Solution-Create the oxygen dissociation curve

Create the oxygen dissociation curve

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Reference no: EM13927518

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

Reference no: EM13927518

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Create the oxygen dissociation curve

Reference no: EM13927518

Reference no: EM13927518

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