Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Štefica Cerjan Stefanović"'
Autor:
Kaštelan-Macan, Marija
Opisani je život i djelo Štefice Cerjan-Stefanović, redovite profesorice u trajnome zvanju. Dodana je njezina bibliografija.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::0c64990ba1d1a75122df0eb55fb56055
https://www.bib.irb.hr/861996
https://www.bib.irb.hr/861996
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84b3d6ca05cb63330c0015bb7bf30e15
https://doi.org/10.1002/mawe.201100756
https://doi.org/10.1002/mawe.201100756
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb0f2308d14f54b2b0150f17eaaf2314
https://doi.org/10.1080/01496390903417958
https://doi.org/10.1080/01496390903417958
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f794250ef31b6a014c526c832816fb7
https://doi.org/10.1002/jssc.200900231
https://doi.org/10.1002/jssc.200900231
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0c976c0a189f10096e06334573469b8
https://doi.org/10.1365/s10337-009-1126-8
https://doi.org/10.1365/s10337-009-1126-8
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9580d6524f7e8416211f54efa884a4ea
https://doi.org/10.1080/10826070902900228
https://doi.org/10.1080/10826070902900228
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1a945b595ed3b1369764995d8246f25
https://doi.org/10.1002/jssc.200700470
https://doi.org/10.1002/jssc.200700470
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2eb56a012763ab4a5ecc7b2ad098d881
https://doi.org/10.1002/cem.1096
https://doi.org/10.1002/cem.1096
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::544d877b6d85269e673f4e0d550c2f2f
https://doi.org/10.1016/j.chemolab.2006.08.011
https://doi.org/10.1016/j.chemolab.2006.08.011