Naslov
Evaluation of separation in gradient elution ion chromatography by combining several retention models and objective functions

Autori
Bolanča, Tomislav ; Cerjan-Stefanović, Štefica ; Luša, Melita ; Ukić, Šime ; Rogošić, Marko

Izvornik
Journal of separation science (1615-9306) 31 (2008), 4; 705-713

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
gradient elution ; ion chromatography ; objective function ; optimization ; retention model

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Kemijsko inženjerstvo

POVEZANOST RADA