Abstract
Publisher Summary This chapter presents an analysis of ligand-binding equilibria. It refers mostly to oxygenation equilibria but is equally well applicable to the equilibria of other heme ligands. The ferric heme groups of methemoglobin reversibly combine with a water molecule and various anionic ligands; their binding equilibria can be analyzed in the same way. The chapter also describes least-squares curve fitting. In least-squares curve-fitting for linear functions, a unique set of best-fit parameter values are obtained by solving the normal equations, but in curve-fitting for nonlinear functions—such as the Adair equation—the equation must be linearized with respect to the parameters to be estimated, using some approximation, and the best-fit parameter values are searched through an iterative procedure starting with some approximate values. The chapter describes a least-squares procedure for the Adair equation, which is based on Rubin; it can be applied to observe points and a routine for estimating error of the best-fit parameters to be included.
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