Kaliszan R - Search Results

1

Comparative evaluation of high-performance liquid chromatography stationary phases used for the separation of peptides in terms of quantitative structure-retention relationships.

Michel M, Baczek T, Studzińska S, Bodzioch K, Jonsson T, Kaliszan R, Buszewski B. Michel M, et al. Among authors: kaliszan r. J Chromatogr A. 2007 Dec 14;1175(1):49-54. doi: 10.1016/j.chroma.2007.10.002. Epub 2007 Oct 10. J Chromatogr A. 2007. PMID: 17980378

2

Combination of linear solvent strength model and quantitative structure-retention relationships as a comprehensive procedure of approximate prediction of retention in gradient liquid chromatography.

Baczek T, Kaliszan R. Baczek T, et al. Among authors: kaliszan r. J Chromatogr A. 2002 Jul 12;962(1-2):41-55. doi: 10.1016/s0021-9673(02)00557-5. J Chromatogr A. 2002. PMID: 12198971

3

Lipophilicity and pKa estimates from gradient high-performance liquid chromatography.

Kaliszan R, Haber P, Baczek T, Siluk D, Valko K. Kaliszan R, et al. J Chromatogr A. 2002 Aug 2;965(1-2):117-27. doi: 10.1016/s0021-9673(02)00114-0. J Chromatogr A. 2002. PMID: 12236521

4

Predictive approaches to gradient retention based on analyte structural descriptors from calculation chemistry.

Baczek T, Kaliszan R. Baczek T, et al. Among authors: kaliszan r. J Chromatogr A. 2003 Feb 14;987(1-2):29-37. doi: 10.1016/s0021-9673(02)01701-6. J Chromatogr A. 2003. PMID: 12613794

5

Comparative characteristics of HPLC columns based on quantitative structure-retention relationships (QSRR) and hydrophobic-subtraction model.

Baczek T, Kaliszan R, Novotná K, Jandera P. Baczek T, et al. Among authors: kaliszan r. J Chromatogr A. 2005 May 20;1075(1-2):109-15. doi: 10.1016/j.chroma.2005.03.117. J Chromatogr A. 2005. PMID: 15974124

6

Predictions of peptides' retention times in reversed-phase liquid chromatography as a new supportive tool to improve protein identification in proteomics.

Baczek T, Kaliszan R. Baczek T, et al. Among authors: kaliszan r. Proteomics. 2009 Feb;9(4):835-47. doi: 10.1002/pmic.200800544. Proteomics. 2009. PMID: 19160394 Review.

7

Least absolute shrinkage and selection operator and dimensionality reduction techniques in quantitative structure retention relationship modeling of retention in hydrophilic interaction liquid chromatography.

Daghir-Wojtkowiak E, Wiczling P, Bocian S, Kubik Ł, Kośliński P, Buszewski B, Kaliszan R, Markuszewski MJ. Daghir-Wojtkowiak E, et al. Among authors: kaliszan r. J Chromatogr A. 2015 Jul 17;1403:54-62. doi: 10.1016/j.chroma.2015.05.025. Epub 2015 May 19. J Chromatogr A. 2015. PMID: 26037317

8

Column Characterization and Selection Systems in Reversed-Phase High-Performance Liquid Chromatography.

Žuvela P, Skoczylas M, Jay Liu J, Ba Czek T, Kaliszan R, Wong MW, Buszewski B, Héberger K. Žuvela P, et al. Among authors: kaliszan r. Chem Rev. 2019 Mar 27;119(6):3674-3729. doi: 10.1021/acs.chemrev.8b00246. Epub 2019 Jan 3. Chem Rev. 2019. PMID: 30604951 Review.

9

Quantitative structure/retention relationships in affinity chromatography.

Baczek T, Kaliszan R. Baczek T, et al. Among authors: kaliszan r. J Biochem Biophys Methods. 2001 Oct 30;49(1-3):83-98. doi: 10.1016/s0165-022x(01)00190-7. J Biochem Biophys Methods. 2001. PMID: 11694274

10

Suppression of deleterious effects of free silanols in liquid chromatography by imidazolium tetrafluoroborate ionic liquids.

Kaliszan R, Marszałł MP, Markuszewski MJ, Baczek T, Pernak J. Kaliszan R, et al. J Chromatogr A. 2004 Mar 19;1030(1-2):263-71. doi: 10.1016/j.chroma.2003.09.020. J Chromatogr A. 2004. PMID: 15043278

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