Multipoint Regression Data - Processing Methods Applied to Nonlinear Kinetic Data

This paper describes the application of nultipoint regression methods to a variety of situations that involve nonlinear kinetic data, and illustrates advantages that can be achieved with these data—processing methods. Examples include kinetic procedures that are virtually indepen— dent of variations in experimental parameters such as temperature, pH, reagent concentration, etc., kinetic procedures that have substantially increased linear ranges, procedures that can resolve two—component mixtures such as unconjugated and conjugated bilirubins or the H and M subunits of lactate dehydrogenase, procedures that can compensate for substrate inhibition in the quantitation of enzyme activity, and procedures that have the potential to yield linear (not "linearized") calibration curves in competitive binding inununoassays. Data are presented to illustrate most of these points.