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Development of gradient retention model in ion chromatography. Part I: Conventional QSRR approach (CROSBI ID 204583)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Ukić, Šime ; Novak, Mirjana ; Žuvela, Petar ; Avdalović, Nebojša ; Liu, Yan ; Buszewski, Bogusław ; Bolanča, Tomislav Development of gradient retention model in ion chromatography. Part I: Conventional QSRR approach // Chromatographia, 77 (2014), 15-16; 985-996. doi: 10.1007/s10337-014-2653-5

Podaci o odgovornosti

Ukić, Šime ; Novak, Mirjana ; Žuvela, Petar ; Avdalović, Nebojša ; Liu, Yan ; Buszewski, Bogusław ; Bolanča, Tomislav

engleski

Development of gradient retention model in ion chromatography. Part I: Conventional QSRR approach

New retention methodology that integrates conventional quantitative structure-retention relationship QSRR) approach and gradient retention modeling based on isocratic retention data is developed and presented in the paper. Such integrated approach removes the general QSRR limitation of highly predefined application conditions (i.e., QSRR are generally applicable only under the conditions used during model development) and allows the prediction of retentions over wide range of different elution conditions (practically for any isocratic or gradient elution profile). At the same time, it retains the ability to predict retention of components unknown to model, i.e., the components that have not been used in modeling. Ion-exchange chromatography (IC) analysis of carbohydrates was selected as modeling environment. Three regression techniques were applied and compared during QSRR modeling, namely: stepwise multiple linear regression, partial least squares (PLS), and uninformative variable elimination–PLS regression. The obtained prediction results of the best QSRR model (root-mean-square error of prediction = 22.69 %) were similar to those found in the literature. The upgrade from QSRR to the integrated model did not diminish the predictive ability of the model, indicating an excellent potential of the developed methodology not only in IC but also in chromatography in general.

ion chromatography ; QSRR ; gradient retention model ; stepwise MLR ; PLS ; UVE–PLS

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Podaci o izdanju

77 (15-16)

2014.

985-996

objavljeno

0009-5893

1612-1112

10.1007/s10337-014-2653-5

Povezanost rada

Kemija, Kemijsko inženjerstvo

Poveznice
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