Analysis of the retention behavior of selected antipsychotics and their impurities by thin-layer chromatography

Oljačić, Slavica; Arsić, Andjela; Obradović, Darija; Nikolić, Katarina; Agbaba, Danica

doi:10.1556/1006.2017.30.5.2

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Our results show that chromatographic retention parameters are not only determined by lipophilicity, but also by other physicochemical descriptors. Similar results were observed by Oljačić et al who investigated aripiprazole, ziprasidone and their impurities [21]. They established QSRR models, which indicated that apart from the calculated lipophilicity, topological descriptors and molecular weights of the target molecules have a significant influence on the retention of the tested antipsychotic drugs and their impurities in RP-TLC.…”

Section: Resultssupporting

confidence: 81%

Study of the chromatographic behavior of selected antipsychotic drugs on RP-TLC based on quantitative structure–retention relationships

et al. 2019

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The chromatographic properties for nine antipsychotic drugs: chlorpromazine, chlorprothixene, clozapine, quetiapine, perazine, perphenazine, prochlorperazine, promazine and trifluoperazine were studied using planar chromatography. Both C 18-bonded silica gel and diol-bonded phase were used as stationary phases. Mixtures of methanol-water and tetrahydrofuran-water were investigated as mobile phases. Molecular descriptors were calculated using HyperChem, ChemAxon and ACD/labs software. The study was based on multiple linear regression and the results were presented as quantitative structure-retention relationships equations. Furthermore, both principal component and cluster analysis were performed. The classification methods showed clear differences between calculated and chromatographic established lipophilicity. Chromatographic parameters were similar to bulkiness-related, geometrical descriptors and topological indexes. On the other hand, the electronic descriptors which were strongly connected with the computational log P values had lower impact on chromatographic parameters.

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Section: Resultssupporting

confidence: 81%

Study of the chromatographic behavior of selected antipsychotic drugs on RP-TLC based on quantitative structure–retention relationships

et al. 2019

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“…The study of lipophilicity, a physicochemical parameter closely related to bioavailability and ADMET properties of a biologically active compound (drug) is of great importance in QSAR and QSPR (Quantitative Structure-Property Relationship) studies during the definition of its pharmacokinetic and pharmacodynamic profile [5]. Thanks to the existence of similarities between intermolecular interactions that determine the behavior of compounds in biological and chromatographic environments, chromatographic parameters are applied as alternative measures of lipophilicity of compounds [6][7][8][9][10][11]. In addition, recent research has confirmed the possibility of applying chromatographic parameters in the assessment of pharmacokinetic and toxic properties of new compounds [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

QSRR Descriptors as a Tool in the Study of the Barbituric Acid Derivatives’ Biological Profile

Apostolov

Stojiljković

Vaštag

2022

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Thanks to the in silico approach in drug design, the identification of new molecules is enabled and facilitated, as well as the optimization of the pharmacokinetics and toxicity of compounds obtained from different sources. Chromatographic methods, on the other hand, provide accurate and reliable information on the influence of the nature of substituents and applied organic modifiers on the pharmacological behavior of compounds, relying on the existence of similarities between intermolecular interactions that determine compound behavior in biological and chromatographic media. Barbituric acid derivatives were subjected to QSRR analysis and the parameters obtained by reversed phase thin layer chromatography (RP TLC18 F254s) were correlated with selected software-derived predictors of permeability, pharmacokinetics and toxicity using the method of linear regression. Тhus satisfactory mathematical models were obtained.

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Applying multivariate methods in the estimation of bioactivity properties of acetamide derivatives

Vastag

Apostolov

Kaurinović

et al. 2018

JPC - Journal of Planar Chromatography - Modern TLC

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Analysis of the retention behavior of selected antipsychotics and their impurities by thin-layer chromatography

Cited by 3 publications

References 30 publications

Study of the chromatographic behavior of selected antipsychotic drugs on RP-TLC based on quantitative structure–retention relationships

Study of the chromatographic behavior of selected antipsychotic drugs on RP-TLC based on quantitative structure–retention relationships

QSRR Descriptors as a Tool in the Study of the Barbituric Acid Derivatives’ Biological Profile

Applying multivariate methods in the estimation of bioactivity properties of acetamide derivatives

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