Measurements of H/L values for two or more values of [A]0 and/or [D]°a llows simultaneous solution for the "best" values of K and ¿srxH°. Because of the finite concentrations of both components, the concentration of the complex is given by a quadratic equation:The squared term prevents simple solution of these equations by linear regression and is often approximated as zero. Combination of these equations givesor each data point. The approximate solution takes [C] = 0 in calculating values of Y. A reiterative program then performs a weighted linear regression minimizing the deviations in values of H/L. Approximate values are calculated from Km/b and £stxH°= \/m. This approximate value of K is used with the formal concentrations of donor and acceptor in the quadratic equation to calculate values for [C] and improved values of Y, leading to an improved value of K. This process is continued until successive values of K agree to within 0.01%, and this value of K and its statistical standard deviation are taken as "best" values, along with the corresponding values of 7°a nd its standard deviation. These calculations were performed on an Apple He microcomputer.
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