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Automated SIA System Using an Array of Potentiometric Sensors for Determining Alkaline‐Earth Ions in Water
Author(s) -
Calvo Daniel,
Größl Michael,
Cortina Montserrat,
del Valle Manuel
Publication year - 2007
Publication title -
electroanalysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 128
eISSN - 1521-4109
pISSN - 1040-0397
DOI - 10.1002/elan.200603763
Subject(s) - electronic tongue , potentiometric titration , calibration , mineral water , artificial neural network , analytical chemistry (journal) , potentiometric sensor , chemistry , alkaline earth metal , ion , biological system , computer science , materials science , chromatography , alkali metal , artificial intelligence , mathematics , metallurgy , statistics , food science , organic chemistry , taste , biology
Abstract This work deals with the simultaneous determination of Mg 2+ , Ca 2+ , and Ba 2+ in water using a PVC‐membrane potentiometric sensor array and multivariate calibration, in what is known as electronic tongue. The subsequent processing of the data was based on the use of a multilayer artificial neural network (ANN). The information needed for training or generation of the model was obtained with the aid of an automated analytical system based on the Sequential Injection Analysis (SIA) technique. The modeling ability was verified with an external set of standards, and next the determinations were performed in real samples of mineral waters, where close results for Mg 2+ and Ca 2+ were obtained to those obtained with reference methods. The determination of Ba 2+ can be considered as semi‐quantitative for synthetic samples – due to the absence of Ba 2+ in mineral waters, its concentration in real samples was not measured.