2006
DOI: 10.1016/j.aca.2006.06.016
|View full text |Cite
|
Sign up to set email alerts
|

Heteroscedasticity of retention factor and adequate modeling in micellar liquid chromatography

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2007
2007
2020
2020

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 15 publications
(4 citation statements)
references
References 61 publications
0
4
0
Order By: Relevance
“…The weights were calculated with the following function w logk ¼ k 2 /0.434 for taking into account the perturbations after function linearization. 19 The correlation coefficient between experimental and predicted logk was higher than 0.97 for all investigated compounds. Fig.…”
Section: Optimization Of Chromatographic Conditionsmentioning
confidence: 77%
See 1 more Smart Citation
“…The weights were calculated with the following function w logk ¼ k 2 /0.434 for taking into account the perturbations after function linearization. 19 The correlation coefficient between experimental and predicted logk was higher than 0.97 for all investigated compounds. Fig.…”
Section: Optimization Of Chromatographic Conditionsmentioning
confidence: 77%
“…The retention of each compound was simulated by using a bilogarithmic mechanistic retention model (eqn (1)) that follows from the physical-chemical retention model based on the mass-action concept of micelle formation. 18,19 logk…”
Section: Optimization Of Chromatographic Conditionsmentioning
confidence: 99%
“…It was noted previously that the surfactant adsorbed layer on the LC packing affected drastically chromatographic retention, owing to the poor mass transfer within the stationary phase and rate constant for solute exit from the micellar phases 31–33. In addition to the impact of ACN on the micelles, we continued to explore the use of different SDS concentrations for improved efficiency in the mobile phases.…”
Section: Resultsmentioning
confidence: 99%
“…Several empirical and mechanical retention models have been proposed to take into account the presence of modifiers in micellar mobile phases [22][23][24][25]. The models allowed to develop optimization procedures which can be used to find quickly the best surfactant concentration and modifier proportion in a micellar mobile phase that will give the optimal resolution in a particular situation [26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%