Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Melita Luša"'
Publikováno v:
Separation Science and Technology. 45:236-243
In this work, the principles of multi-criteria decision-making were used to develop an efficient optimization strategy in gradient elution ion chromatographic analysis. Two different artificial neural network retention models (multi-layer perceptron
Publikováno v:
Journal of Separation Science. 32:2877-2884
This study describes the development of a signal prediction model in gradient elution ion chromatography. The proposed model is based on a retention model and generalized logistic peak shape function which guarantees simplicity of the model and its e
Publikováno v:
Chromatographia. 70:15-20
Gradient elution is used in ion chromatography to achieve rapid analysis with reasonable separation. Optimization and prediction of the gradient is clearly a multidimensional problem, however. One approach to prediction of gradient retention behavior
Publikováno v:
Journal of Liquid Chromatography & Related Technologies. 32:1373-1391
In this work a model was developed for the prediction of retention time, resolution, and peak asymmetry in gradient elution mode by using isocratic experimental data. The predictive performance and generalization ability of the developed model was ex
Publikováno v:
Journal of Separation Science. 31:705-713
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
Publikováno v:
Journal of Chemometrics. 22:106-113
The reliability of predicted separations in ion chromatography depends mainly on the accuracy of retention predictions. Any model able to improve this accuracy will yield predicted optimal separations closer to the reality. In this work artificial ne
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 86:95-101
This work focuses on problems regarding empirical retention modeling in gradient elution ion chromatography. Traditionally, retention modeling in ion chromatography requires certain assumptions. On the other hand, the use of artificial neural network
Publikováno v:
Chromatographia. 63:395-400
The aim of this work is development of methodology for analysis of inorganic cations (sodium, ammonium, potassium, magnesium and calcium) in fertilizer industry wastewater. Method development includes optimization of eluent flow rate and concentratio
This paper describes the development of ad hoc methodology for determination of inorganic anions in oilfield water, since their composition often significantly differs from the average (concentration of components and/or matrix). Therefore, fast and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b77b8cffeea4bb96bdc5dec71898520
https://www.bib.irb.hr/565947
https://www.bib.irb.hr/565947
When facing separation problems in ion chromatography, chromatographers often lack guidelines to decide a priori if isocratic elution will give enough separation in a reasonable analysis time or a gradient elution will be required. This situation may
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d578b37c5d0ba8adddbcad0e5b1380d3
https://www.bib.irb.hr/271089
https://www.bib.irb.hr/271089