2010
DOI: 10.1080/00032710903518575
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Modeling of Chromatographic Lipophilicity Indices of Quaternary Ammonium and Nitrone Derivatives and Their Thiazolic Salts Using Molecular Descriptors

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Cited by 9 publications
(4 citation statements)
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“…In comparison with parameter k m , which was calculated with one regression parameter, intercept, the micelle-water partition coefficient (P m/w ) was calculated using both parameters slope and intercept of regression analysis. This indicates that the micelle-water partition coefficient P m/w can be considered as analogous to C 0 in RP-TLC, initially introduced as a more reliable measure of lipophilicity by Bieganowska et al (31) and successfully applied (21,32).…”
Section: Discussionmentioning
confidence: 98%
“…In comparison with parameter k m , which was calculated with one regression parameter, intercept, the micelle-water partition coefficient (P m/w ) was calculated using both parameters slope and intercept of regression analysis. This indicates that the micelle-water partition coefficient P m/w can be considered as analogous to C 0 in RP-TLC, initially introduced as a more reliable measure of lipophilicity by Bieganowska et al (31) and successfully applied (21,32).…”
Section: Discussionmentioning
confidence: 98%
“…Therefore, the first component will be uncorrelated with the second component. For a better interpretation of the information, the matrices are graphically plotted in order to obtain a 2D plot and loading scores, which allows us to represent the relative position of the objects of the original variables (Ionuț, Tiperciuc, & Oniga, ; Onișor, Palage, & Sârbu, ; Palage et al, ; C. I. Stoica et al, ; Tiperciuc & Sârbu, ). PCA was performed using the XL‐STAT extension (XLSTAT, ).…”
Section: Methodsmentioning
confidence: 99%
“…The second component will account for the maximal amount of variance in the dataset that did not display strong correlation with the first component. Therefore, the first component will be uncorrelated with the second component.For a better interpretation of the information, the matrices are graphically plotted in order to obtain a 2D plot and loading scores, which allows us to represent the relative position of the objects of the original variables(Ionuț, Tiperciuc, & Oniga, 2017;Onișor, Palage, & Sârbu, 2010;Palage et al, 2011;C. I. Stoica et al, 2015;Tiperciuc & Sârbu, 2006).…”
mentioning
confidence: 99%
“…To this purpose, derivatization reactions have been used extensively to modify molecular characteristics in order to achieve allowing investigation through the establishment of Quantitative Structure-Retention Relationships (QSRR) [11]. Such models are useful for understanding the principal factors governing their retention, forming predictions or even characterizing chromatographic systems [12,13]. To achieve this goal, information inherent in the molecular structure needs to be transformed into a form compatible for use in statistical analysis and modelling.…”
Section: Introductionmentioning
confidence: 99%