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Bayesian methods for ion-selective electrodes
journal contribution
posted on 2017-09-29, 13:44 authored by Peter W. Dillingham, Tanja RaduTanja Radu, Dermot Diamond, Aleksandar Radu, Christina M. McGrawWith 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
ElectroanalysisVolume
24Issue
2Pages
316 - 324Citation
DILLINGHAM, P. ... et al., 2012. Bayesian methods for ion-selective electrodes. Electroanalysis, 24 (2), pp.316-324.Publisher
© Wiley-VCHVersion
- 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
2012ISSN
1040-0397eISSN
1521-4109Publisher version
Language
- en