Peter W. Dillingham, Tanja Radu, Dermot Diamond, Aleksandar Radu, Christina M. McGrawThe low cost and portability of ion selective electrodes has led to their increasing use in environmental and health applications. However, if ion selective electrodes are to move beyond 'clean' samples with minimal levels of interfering ions, e.g. tap and river water, new methods are needed to extend their useable range and provide realistic estimates of measurement uncertainty.  A Bayesian model for non-linear calibration is introduced which provides realistic estimates of measurement precision by incorporating uncertainty in calibration parameters and inherent random noise in emf response. The analysis of Pb2+ in 17 environmental samples demonstrates that large gains in precision are possible when calibrations are extended to include multiple electrodes and standard addition data, even when individual ISEs varied substantially in LOD and response. The results highlight the need for improved calibration and routine use of standard addition as ion selective electrodes become increasingly popular for demanding, real world applications.

Bayesian methods for robust calibration of ion selective electrodes

244th National Meeting (2012)

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