Characterisation of reversed-phase liquid-chromatographic columns by chromatographic tests

Dehouck, Pieter; Visky, D.; Heyden, Yvan Vander; Adams, Erwin; Kovács, Zsuzsanna; Noszál, Béla; Massart, D.L.; Hoogmartens, Jos

doi:10.1016/j.chroma.2003.10.089

Cited by 56 publications

(44 citation statements)

References 32 publications

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“…The best parameter set utilized only four parameters of these: k 0 amylbenzene , r benzylamine, phenol , k 0 2,2-dipyridyl and r triphenylene, o-terphenyl [8]. The results of the column tests were correlated with the quality of separation of aromatic acids characterized by chromatographic response function (CRF) as the optimization criterion [9]. Cluster analysis involves a mathematical procedure for grouping objects of similar kind into respective categories.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of HPLC columns for two‐dimensional LC × LC separations of phenolic acids and flavonoids

Jandera

Vyňuchalová

Hájek

et al. 2008

Journal of Chemometrics

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The aim of the work is to contribute to rational selection of columns and mobile phases for 'orthogonal' twodimensional LC T LC operation of specific sample types, providing maximum increase in the peak capacity with respect to single-dimension HPLC. As a criterion of suitability, the dissimilarity of the separation selectivity of the phase separation systems was selected. For this purpose, correlations between the retention and molecular structure descriptors were used to characterize and compare the columns with respect to various types of selective interactions using the interaction indices as the general polarity scale characteristics and the linear free energy relationships (LFER) model employing selective molecular structural descriptors. Chemometric methods-cluster analysis using similarity dendrograms and multiple regression analysis-were used to classify several types of bonded C18, amide and polyethyleneglycol columns on the basis of differences in separation selectivities for selected phenolic and flavone standards. Systematic development of a comprehensive LC T LC method for two-dimensional separation of phenolic acids and flavone natural antioxidants was based on the selection of the combination of first-and second-dimension columns with low correlation of retention of representative standards providing a highly orthogonal two-dimensional separation system. The mobile phases providing best separation selectivity for phenolic compounds on each column tested were optimized using window-diagram optimization strategy. The final optimized conditions were employed for comprehensive LC T LC separations of natural antioxidants using a polyethylene glycol microcolumn in the first dimension and a short monolithic C18 column in the second dimension.

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Section: Introductionmentioning

confidence: 99%

“…Multivariate techniques (principal component analysis, factor analysis, cluster analysis etc.) are widely applied for selection of proper stationary phase and/or preferred solvents [7][8][9][10][11]. Principal component analysis (PCA) is often used for classification of columns.…”

Section: Introductionmentioning

confidence: 99%

Characterization of HPLC columns for two‐dimensional LC × LC separations of phenolic acids and flavonoids

Jandera

Vyňuchalová

Hájek

et al. 2008

Journal of Chemometrics

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“…The residual combination of parameters was used in subsequent publications for testing the similarity and dissimilarity of columns for use in a particular assay (e. g., see ref. [77,78]). A summary of the method, which is carried out in three different mobile phases, has been reported in 2006 [79].…”

Section: General Characterization Methods For Stationary Phasesmentioning

confidence: 96%

Stationary phase characterization and method development

Neue

2007

J of Separation Science

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The properties of stationary phases and their characterization methods are reviewed. New and significant developments have occurred in the last few years, and new methods for stationary phase characterization have become available. The characterization methods are discussed, and the differences between the different methods are pointed out. In addition, method development approaches are reviewed, with special emphasis on recent developments that employ multiple parameters in parallel. Also, the renewed interest of temperature as a tool in method development is surveyed.

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“…With this F-value, a ranking of all columns is obtained; low F-values correspond to ranking close to a selected reference column [33,34]. Later, pharmaceutical analyses were performed in order to study the correlation between the column classification system and performance in real separations (acetylsalicylic acid, clindamycin hydrochloride, buflomedil hydrochloride, chloramphenicol sodium succinate, nimesulide, phenoxymethylpenicillin, dihydrostreptomycin sulphate and vancomycin) [35][36][37].…”

Section: Development Of a Characterisation And Classification Systemmentioning

confidence: 99%

Application of an improved column characterisation system to evaluate the within and between batch variability

Haghedooren

Kerner²,

Noszál

et al. 2007

Journal of Pharmaceutical and Biomedical Analysis

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Characterisation of reversed-phase liquid-chromatographic columns by chromatographic tests

Cited by 56 publications

References 32 publications

Characterization of HPLC columns for two‐dimensional LC × LC separations of phenolic acids and flavonoids

Characterization of HPLC columns for two‐dimensional LC × LC separations of phenolic acids and flavonoids

Stationary phase characterization and method development

Application of an improved column characterisation system to evaluate the within and between batch variability

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