Strategy for Obtaining Consensus Solubility Values with Measurement Uncertainties at Given Temperatures from Published Data

Abstract A strategy for determining consensus solubilities with measurement uncertainties at common temperatures from data reported at varying temperatures is presented. The approach involves fitting the individual data sets to an appropriate equation of solubility (or log solubility) as a function of temperature. This allows estimation of the standard uncertainty of each data point and, if required, interpolated values of the solubility, with uncertainties, at the temperatures of interest. Between-laboratory uncertainty is assessed by the DerSimonian–Laird procedure. The strategy is applicable to any measured quantity where its variation with experimental variables can be represented by a robust equation.