Patent Document ID: 20150220851
Application ID: 14574454
Patent Status: 0

Claim One:
1. A process for creating a predictive data set for use in predicting the amount of target constituent in an electrolyte solution at varying temperatures, said process comprising: (a) obtaining a sample set, wherein each sample in the set comprises an electrolyte solution of known composition; (b) obtaining an electroanalytical response for each sample in the sample set to produce an electroanalytical response data set at a pre-selected target temperature; (c) obtaining a plurality of training sets, each training set being measured at a different pre-selected temperature in a range of low to high temperatures that comprises the sample set and corresponds to the electroanalytical response data set; (d) analyzing each of the training sets individually using decomposition and multivariate regression methods to produce a plurality of regression data sets, each at different temperature; (e) validating the plurality of training data sets to produce a predictive data set for predictive calibration models, each at different temperatures in the pre-selected range of low to high temperatures.