المؤلفون: Haseeb, Abdul, Fernandes, Miguel Xavier, Samuelsson, Jörgen, 1971

المصدر: Journal of Chromatography A. 1730

مصطلحات موضوعية: Adsorption, Adsorption isotherms, Column chromatography, Ionization of liquids, Ionization potential, Liquid chromatography, electrolyte, polypropylene, Adsorption modeling, Charged solutes, Competitive adsorption, Competitive adsorption model, Electrostatic retention model, Elution profiles, Mixed mode, Mixed-mode liquid chromatography, Retention mechanism, Retention modeling, adsorption, algorithm, anion exchange, Article, chromatography, chromatography by stationary phase, column chromatography, elution, equilibrium constant, flow rate, high performance liquid chromatography, ionization, isotherm, pH, retention time (chromatography), reversed phase liquid chromatography, static electricity, ultraviolet irradiation, Electrostatics, Kemi, Chemistry

وصف الملف: electronic

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-100711Test
https://doi.org/10.1016/j.chroma.2024.465058Test
https://kau.diva-portal.org/smash/get/diva2:1878130/FULLTEXT01.pdfTest

المصدر: Journal of Chromatography. 799(1-2):35-45

مصطلحات موضوعية: MECHANISM, ADSORPTION, neural network, PHASE, PAIR LIQUID-CHROMATOGRAPHY, RECOGNITION, metal complexes, ANALYTES, ion-interaction, retention prediction, VERIFICATION, ELECTROSTATIC RETENTION MODEL, retention models, CATIONS, EXTENSION

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=dris___00893::2d5bb6f338dd9b13be093262f2342cacTest
https://hdl.handle.net/11370/498f3eb8-4644-4fd9-b952-d9677d7d8208Test

المؤلفون: Pierre M.J Coenegracht, Harm J Metting, Edoardo Mentasti, Giovanni Sacchero, Corrado Sarzanini, Maria Concetta Bruzzoniti

المساهمون: Faculty of Science and Engineering

المصدر: Journal of Chromatography, 799(1-2), 35-45. ELSEVIER SCIENCE BV

مصطلحات موضوعية: MECHANISM, ADSORPTION, neural network, PHASE, metal complexes, Biochemistry, Analytical Chemistry, Set (abstract data type), Chemometrics, retention prediction, VERIFICATION, retention models, Chromatography, Artificial neural network, Chemistry, PAIR LIQUID-CHROMATOGRAPHY, Organic Chemistry, RECOGNITION, Experimental data, General Medicine, Function (mathematics), Reversed-phase chromatography, ANALYTES, ion-interaction, Capacity factor, ELECTROSTATIC RETENTION MODEL, Test set, CATIONS, EXTENSION

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::794b833ea432d097956ed425cab66a17Test
https://doi.org/10.1016/s0021-9673Test(97)01044-3

المؤلفون: Saccchero, G, Bruzzoniti, M.C, Sarzanini, C, Mentasti, E, Metting, H.J, Coenegracht, P.M J

المصدر: Saccchero , G , Bruzzoniti , M C , Sarzanini , C , Mentasti , E , Metting , H J & Coenegracht , P M J 1998 , ' Comparison of prediction power between theoretical and neural-network models in ion-interaction chromatography ' , Journal of Chromatography , vol. 799 , no. 1-2 , pp. 35 - 45 . ; ISSN:0021-9673

مصطلحات موضوعية: neural network, retention models, ion-interaction, retention prediction, metal complexes, PAIR LIQUID-CHROMATOGRAPHY, ELECTROSTATIC RETENTION MODEL, PHASE, MECHANISM, CATIONS, VERIFICATION, RECOGNITION, ADSORPTION, EXTENSION, ANALYTES

الإتاحة: http://hdl.handle.net/11370/498f3eb8-4644-4fd9-b952-d9677d7d8208Test
https://research.rug.nl/en/publications/comparison-of-prediction-power-between-theoretical-and-neuralnetwork-models-in-ioninteraction-chromatographyTest(498f3eb8-4644-4fd9-b952-d9677d7d8208).html