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Bayesian methods for ion-selective electrodes

journal contribution
posted on 29.09.2017 by Peter W. Dillingham, Tanja Radu, Dermot Diamond, Aleksandar Radu, Christina M. McGraw
With the increasing use of ion-selective electrodes in environmental and health applications, it is important to know the precision of estimated concentrations. A Bayesian model for non-linear calibration is introduced which provides estimates of measurement precision by incorporating uncertainty in calibration parameters and inherent random noise in emf response. The analysis of lead in 17 soil samples demonstrates that large gains in precision are possible when calibrations are extended to include multiple electrodes and standard addition data. 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.

History

School

  • Architecture, Building and Civil Engineering

Published in

Electroanalysis

Volume

24

Issue

2

Pages

316 - 324

Citation

DILLINGHAM, P. ... et al., 2012. Bayesian methods for ion-selective electrodes. Electroanalysis, 24 (2), pp.316-324.

Publisher

© Wiley-VCH

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2012

ISSN

1040-0397

eISSN

1521-4109

Language

en

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