Evaluation of separation in gradient elution ion chromatography by combining several retention models and objective functions (CROSBI ID 144156)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bolanča, Tomislav ; Cerjan-Stefanović, Štefica ; Luša, Melita ; Ukić, Šime ; Rogošić, Marko
engleski
Evaluation of separation in gradient elution ion chromatography by combining several retention models and objective functions
In this work, three different methods for modeling of gradient retention were combined with several optimization objective functions in order to find the most appropriate combination to be applied in ion chromatography method development. The system studied was a set of seven inorganic anions (fluoride, chloride, nitrite, sulfate, bromide, nitrate, and phosphate) with a KOH eluent. The retention modeling methods tested were multilayer perceptron artificial neural network (MLP-ANN), radial-basis function artificial neural network (RBF-ANN), and retention model based on transfer of data from isocratic to gradient elution mode. It was shown that MLP retention model in combination with the objective function based on normalized retention difference product was the most adequate tool for optimization purposes.
gradient elution ; ion chromatography ; objective function ; optimization ; retention model
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Podaci o izdanju
31 (4)
2008.
705-713
objavljeno
1615-9306
1615-9314
10.1002/jssc.200700470
Povezanost rada
Kemija, Kemijsko inženjerstvo