Претраживање
Приказ резултата 1-10 од 14
Quantitative structure retention relationship modeling as potential tool in chromatographic determination of stability constants and thermodynamic parameters of β-cyclodextrin complexation process
(Elsevier B.V., 2020)
When cyclodextrins (CDs) are used in chromatography analytes’ retention time is decreased with an in- crease in concentration of CD in the mobile phase. Thus complex stability constants can be determined from the change ...
Comparative chemometric and quantitative structure-retention relationship analysis of anisotropic lipophilicity of 1-arylsuccinimide derivatives determined in high-performance thin-layer chromatography system with aprotic solvents
(Elsevier B.V., 2020)
Numerous structurally different amides and imides including succinimide derivatives exhibit diverse bioactive potential. The development of new compounds requires rationalization in the design in or- der to provide structural ...
Determination of some insect repellents in cosmetic products by high-performance thin-layer chromatography
(Elsevier Science BV, Amsterdam, 1999)
A simple and reliable thin-layer chromatographic method for the determination of N,N-diethyl-m-toluamide (DEET) and dimethyl phthalate (DMP) in raw material and cosmetic products was developed and validated. A benzene-diethyl ...
The comparison of retention behaviour of imidazoline and serotonin receptor ligands in non-aqueous hydrophilic interaction chromatography and supercritical fluid chromatography
(Elsevier B.V., 2019)
This work presents an investigation of retention characteristics of imidazoline and serotonin receptor ligands in non-aqueous hydrophilic interaction liquid chromatography (NA-HILIC) and supercritical fluid chromatography ...
Novel computational approaches to retention modeling in dual hydrophilic interactions/reversed phase chromatography
(Elsevier B.V., 2020)
The mixed-mode chromatographic behavior was estimated for imidazoline and serotonin receptor ligands, and their related compounds on dual hydrophilic/reversed phase stationary phase. The Box-Cox transfor- mation was used ...
Performance comparison of nonlinear and linear regression algorithms coupled with different attribute selection methods for quantitative structure - retention relationships modelling in micellar liquid chromatography
(Elsevier, 2020)
In micellar liquid chromatography (MLC), the addition of a surfactant to the mobile phase in excess is accompanied by an alteration of its solubilising capacity and a change in the stationary phase’s properties. As an ...
A comprehensive study on retention of selected model substances in β-cyclodextrin-modified high performance liquid chromatography
(Elsevier B.V., 2021)
The quantitative structure-retention relationship (QSRR) models are not only employed in retention behaviour prediction, but also in an in-depth understanding of complex chromatographic systems. The goal of the present ...
The influence of salt chaotropicity, column hydrophobicity and analytes' molecular properties on the retention of pramipexole and its impurities
(Elsevier Science BV, Amsterdam, 2015)
The aim of this study was to examine the interaction of the chaotropic salts of different position in Hofmeister series (CF3COONa, NaClO4, NaPF6) added to the mobile phase with the stationary phases of different hydrophobicity ...
High-performance liquid chromatographic assay of 8-hydroxyquinoline sulfate and its stability in immunobiological preparations
(Elsevier Science BV, Amsterdam, 1998)
Because of the ability of g-hydroxyquinoline sulfate (8-HQS) to irreversibly bind metals from rubber stoppers, the stability of 8-HQS in tuberculin solutions was investigated, For the determination of 8-HQS, a simple and ...
Structure-response relationship in electrospray ionization-mass spectrometry of sartans by artificial neural networks
(Elsevier Science BV, Amsterdam, 2016)
Quantitative structure-property relationship (QSPR) methods are based on the hypothesis that changes in the molecular structure are reflected in changes in the observed property of the molecule. Artificial neural network ...