Literature DB >> 16860511

Characterization and comparison of the chromatographic performance of different types of reversed-phase stationary phases.

Cinzia Stella1, Serge Rudaz, Jean-Yves Gauvrit, Pierre Lantéri, Alban Huteau, Alain Tchapla, Jean-Luc Veuthey.   

Abstract

The chromatographic performance of several base-deactivated stationary phases was evaluated with a specific chromatographic test. Seven basic test compounds, possessing different physico-chemical properties were injected on different supports with two mobile phases: one at pH 7.0 (acetonitrile-phosphate buffer, 40:60, v/v), and the other at pH 3.0 (acetonitrile-phosphate buffer, 15:85, v/v). Chromatographic parameters obtained under these conditions were treated by principal component analysis (PCA) to separate base deactivated supports according to their silanol activity (pH 7.0 mobile phase) and hydrophobic properties (pH 3.0 mobile phase). The information given by the specific test column evaluation was improved with complementary chemometric tools such as hierarchical cluster analysis. The same base deactivated supports were also tested following a general test procedure issued from the literature and obtained fundamental properties (in particular silanol activity and hydrophobicity) were compared with column evaluation obtained with the specific test: results were in good agreement, although the use of the specific test offered a better differentiation between numerous base-deactivated supports.

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Year:  2006        PMID: 16860511     DOI: 10.1016/j.jpba.2006.06.018

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  2 in total

1.  Method development for simultaneous determination of active ingredients in cough and cold pharmaceuticals by high performance liquid chromatography.

Authors:  Azizollah Nezhadali; Mahmoud Reza Shapouri; Mitra Amoli-Diva; Amir Hossein Hooshangi; Farrokh Khodayari
Journal:  Heliyon       Date:  2019-12-09

2.  Column Selection for Biomedical Analysis Supported by Column Classification Based on Four Test Parameters.

Authors:  Alina Plenis; Natalia Rekowska; Tomasz Bączek
Journal:  Int J Mol Sci       Date:  2016-01-21       Impact factor: 5.923

  2 in total

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