2017
DOI: 10.1016/j.chroma.2017.09.015
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Thin layer chromatography in drug discovery process

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Cited by 78 publications
(43 citation statements)
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“…In literature, different modeling methodologies were reported for QSRR approaches for RP-HPLC, e.g., principal component analysis (e.g., see Figure 4) and decision trees; these methodologies include artificial neural networks, partial least squares, uninformative variable elimination partial least squares, stochastic gradient boosting for tree-based models, random forests, genetic algorithms, multivariate adaptive regression splines, and two-step multivariate adaptive regression splines [22]. In thin layer chromatography (TLC) analysis, QSRR studies were employed to illustrate the relationship between retention and lipophilicity of solutes [23]. Nonetheless, not all physicochemical descriptors correlate strongly with retention data, and there is no need to display retention data in the form of an equation, given a small number of compounds involved [24].…”
Section: Methods Development and Validationmentioning
confidence: 99%
“…In literature, different modeling methodologies were reported for QSRR approaches for RP-HPLC, e.g., principal component analysis (e.g., see Figure 4) and decision trees; these methodologies include artificial neural networks, partial least squares, uninformative variable elimination partial least squares, stochastic gradient boosting for tree-based models, random forests, genetic algorithms, multivariate adaptive regression splines, and two-step multivariate adaptive regression splines [22]. In thin layer chromatography (TLC) analysis, QSRR studies were employed to illustrate the relationship between retention and lipophilicity of solutes [23]. Nonetheless, not all physicochemical descriptors correlate strongly with retention data, and there is no need to display retention data in the form of an equation, given a small number of compounds involved [24].…”
Section: Methods Development and Validationmentioning
confidence: 99%
“…La lámina se coloca en una cubeta cerrada que contiene uno o varios disolventes mezclados (fase móvil). A medida que la mezcla de disolventes asciende por capilaridad a través del adsorbente, se produce un reparto diferencial de los compuestos presentes en la muestra (Ciura et al, 2017).…”
Section: Cromatografía En Capa Fina (Tlc)unclassified
“…Las muestras migrarán diferencialmente a través de la placa, resultando en valores específicos del factor de retardo (Rf). El éxito en la separación de los compuestos depende del adsorbente (fase estacionaria) y la mezcla de solventes (fase móvil) (Ciura et al, 2017). TLC ha sido empleada para hacer identificación de familias de lipopéptidos (Jamshidi-Aidji et al, 2019).…”
Section: Cromatografía En Capa Fina (Tlc)unclassified
“…UV-254 nm [79] Recently, a review was published presenting the principles of quantitative structure-retention relationships (QSRR) used for lipophilicity prediction from retention data. Moreover, the use of these data in quantitative structure-activity relationship (QSAR) studies was discussed [81]. In another recent review, the unconventional TLC systems in lipophilicity determination were discussed.…”
Section: Determination Of Lipophilicitymentioning
confidence: 99%