Patent ID: 7270733

Claim:
A process to produce a predictive data set which can be used to predict the amount of target constituent in an electrolyte solution, said process comprising: (a) providing a multi-component electrolyte solution comprising constituents which possess significantly different electrochemical properties, said constituents being present in the electrolyte solution at concentrations significantly different from each other, said constituents interacting electrochemically with each other in the electrolyte solution; (b) obtaining a sample set, wherein each sample of the sample set comprises an electrolyte solution of step (a) with known composition; (c) obtaining an electroanalytical response for each said sample to produce a electroanalytical response data set, wherein said electroanalytical response comprises a combination of one or more portions of independent electroanalytical responses; (d) obtaining a training set that comprises said sample set and the corresponding said electroanalytical response data set; (e) analyzing said training set using decomposition and multivariate regression method to produce a regression data set; and (f) validating said training data set to produce said predictive data set for a predictive calibration model.