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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26764

Title: Bayesian methods for ion-selective electrodes
Authors: Dillingham, Peter W.
Radu, Tanja
Diamond, Dermot
Radu, Aleksandar
McGraw, Christina M.
Issue Date: 2012
Publisher: © Wiley-VCH
Citation: DILLINGHAM, P. ... et al., 2012. Bayesian methods for ion-selective electrodes. Electroanalysis, 24 (2), pp.316-324.
Abstract: 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.
Version: Published
DOI: 10.1002/elan.201100510
URI: https://dspace.lboro.ac.uk/2134/26764
Publisher Link: https://doi.org/10.1002/elan.201100510
ISSN: 1040-0397
Appears in Collections:Closed Access (Architecture, Building and Civil Engineering)

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