Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Štefica Cerjan-Stefanović"'
Publikováno v:
Materialwissenschaft und Werkstofftechnik. 42:229-233
This work focuses on the development of UV/VIS spectrometric methodology for corrosion inhibitor residuals monitoring in oilfield brine. There is no standard method for the determination of corrosion inhibitor concentration in oilfield brine. Develop
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:
Journal of Liquid Chromatography & Related Technologies. 30:791-806
The ion chromatographer is often concerned with the separation of complex mixtures with a variable behavior of their components, which makes good resolution and reasonable analysis time sometimes extremely difficult. Several optimization strategies h
Autor:
Iztok Arčon, Štefica Cerjan Stefanović, Nataša Logar, Janez Kovač, Mario Šiljeg, Venčeslav Kaučič, Nataša Novak Tušar, Anton Meden
Publikováno v:
Microporous and Mesoporous Materials. 93:275-284
A Cr 3+ -modified natural zeolite sample from the deposit of Donje Jesenje (Croatia) was structurally studied using X-ray powder diffraction (XRPD), scanning electron microscopy (SEM), energy dispersive X-ray analysis (EDXS), inductively coupled plas