Minimal number of chromatographic test parameters for the characterisation of reversed-phase liquid chromatographic stationary phases

Iványi, Tímea; Heyden, Yvan Vander; Visky, D.; Baten, P.; Beer, Jacques O. De; Lázár, István; Massart, D.L.; Roets, Eugène; Hoogmartens, Jos

doi:10.1016/s0021-9673(02)00166-8

Cited by 64 publications

(33 citation statements)

References 8 publications

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“…Twenty-four out of 36 chromatographic parameters were found to be repeatable and reproducible. The other parameters were excluded from further studies [58].…”

Section: Methods Developmentmentioning

confidence: 99%

“…The number of parameters was further reduced by using principal component analysis (PCA) [13,58,59]. PCA is a chemometric tool for reduction of data.…”

Section: Methods Developmentmentioning

confidence: 99%

“…Parameters which are located close to each other on the loading plot, are highly correlated. The correlation was also explored by calculating the correlation coefficients between the parameters [58]. If some parameters contain similar information, using only one of these does not lead to an important loss of information.…”

Section: Methods Developmentmentioning

confidence: 99%

“…Since, it was demonstrated that PCA classification of RP-LC columns based on four parameters is possible [58], PCA calculations were performed on 35 different combinations of four parameters selected from the seven parameters. All PCA plots were compared to that obtained with 24 parameters.…”

Section: Methods Developmentmentioning

confidence: 99%

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Three methods to characterize reversed phase liquid chromatographic columns applied to pharmaceutical separations

Németh

Haghedooren

Noszál

et al. 2008

Journal of Chemometrics

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Selecting a suitable reversed phase liquid chromatographic (RP-LC) column for a particular separation is complicated. More than 600 brands of C 18 columns are available on the market. Therefore, determining the characteristics influencing the selectivity of the different stationary phases is necessary. In this paper, three different methods to characterize RP-LC columns are compared. Hoogmartens et al. developed a column characterization system based on test methods from literature, which were reduced with principal component analysis (PCA), and led to four final chromatographic parameters. The second method studied is this of Euerby et al. who developed a column classification system using six parameters, based on the method of Tanaka and also applying PCA. The third method, developed by Snyder et al. is different from the other two. It uses five parameters, calculated by multiple linear regression from the retention data of 18 solutes. The suitability of the column classification systems was examined on pharmaceutical separations. It seems that all three methods can facilitate the selection of a suitable column for an analysis.

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“…Twenty-four out of 36 chromatographic parameters were found to be repeatable and reproducible. The other parameters were excluded from further studies [58].…”

Section: Methods Developmentmentioning

confidence: 99%

“…The number of parameters was further reduced by using principal component analysis (PCA) [13,58,59]. PCA is a chemometric tool for reduction of data.…”

Section: Methods Developmentmentioning

confidence: 99%

Section: Methods Developmentmentioning

confidence: 99%

Section: Methods Developmentmentioning

confidence: 99%

See 2 more Smart Citations

Three methods to characterize reversed phase liquid chromatographic columns applied to pharmaceutical separations

Németh

Haghedooren

Noszál

et al. 2008

Journal of Chemometrics

Self Cite

View full text Add to dashboard Cite

show abstract

“…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 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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Characteristics of Optimization in Individual HPLC Modes: Sections 2.1.2 – 2.1.7

Neue

Alden

Iraneta

et al. 2006

HPLC Made to Measure

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Minimal number of chromatographic test parameters for the characterisation of reversed-phase liquid chromatographic stationary phases

Cited by 64 publications

References 8 publications

Three methods to characterize reversed phase liquid chromatographic columns applied to pharmaceutical separations

Three methods to characterize reversed phase liquid chromatographic columns applied to pharmaceutical separations

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

Characteristics of Optimization in Individual HPLC Modes: Sections 2.1.2 – 2.1.7

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