Premium
Quantification of Binary and Ternary Mixtures of Homologous Nonylphenol Polyethoxylates Using the Potentiometric Sensor Array
Author(s) -
Makarova Natalia Mikhailovna,
Kulapina Elena Grigorevna
Publication year - 2009
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.200804438
Subject(s) - partial least squares regression , potentiometric titration , ternary operation , potentiometric sensor , artificial neural network , electronic tongue , backpropagation , chromatography , chemometrics , chemistry , sensor array , homologous series , binary number , analytical chemistry (journal) , biological system , computer science , artificial intelligence , mathematics , ion , machine learning , organic chemistry , food science , taste , biology , programming language , arithmetic
The electronic tongue system based on the potentiometric sensor array for the determination of nonionic surfactants was developed. Multivariate statistical analysis techniques as partial least squares (PLS) method and backpropagation artificial neural networks (ANN) were used for data processing. The proposed system was applied for the quantitative analysis of homologous polyoxyethylated nonylphenols in complex multicomponent model mixtures and natural water samples. The least relative errors of detection were obtained for artificial neural network. Proposed approach could be applied to further analyze of sewage waters and commercial technical samples.