Literature DB >> 9098972

Effect of skeleton size on the performance of octadecylsilylated continuous porous silica columns in reversed-phase liquid chromatography.

H Minakuchi1, K Nakanishi, N Soga, N Ishizuka, N Tanaka.   

Abstract

We prepared continuous porous silica rods that had silica skeletons with sizes of 1.0-1.7 microns and through-pores of 1.5-1.8 microns, and evaluated their performance as a column in reversed-phase liquid chromatography. The mesoporous silica monoliths (mesopore size: 14 or 24 nm) were derivatized to C18 phase by on-column reaction with octadecyldimethyl-N,N-diethylaminosilane. The C18 silica rods gave minimum plate heights of 10-15 microns for aromatic hydrocarbons in 80% methanol and of 20-30 microns for insulin in acetonitrile-water mixtures in the presence of trifluoroacetic acid. The performance of the silica rods at a high flow-rate was much better than that of conventional columns packed with 5 microns C18 silica particles with pores of 12 or 30 nm, especially for high-molecular-mass species. Silica rods with the smaller sized silica skeletons resulted in Van Deemter plots showing a minimum plate height linear velocity of the mobile phase and a smaller dependence of plate height on the linear velocity. Separation impedance of less than 1000 was achieved with the continuous silica columns. The higher performance and lower pressure drop of silica rods at high flow-rates compared with particle-packed columns is provided by the small silica skeletons and large through-pores.

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Year:  1997        PMID: 9098972     DOI: 10.1016/s0021-9673(96)00944-2

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  9 in total

1.  Fast and universal HPLC method for determination of permethrin in formulations using 1.8-μm particle-packed column and performance comparison with other column types.

Authors:  Maja A Shishovska; Marina T Stefova
Journal:  J Chromatogr Sci       Date:  2012-01       Impact factor: 1.618

2.  Development of an affinity silica monolith containing alpha1-acid glycoprotein for chiral separations.

Authors:  Rangan Mallik; Hai Xuan; David S Hage
Journal:  J Chromatogr A       Date:  2007-03-25       Impact factor: 4.759

3.  Modeling of dispersion in a polymeric chromatographic monolith.

Authors:  Harun Koku; Robert S Maier; Mark R Schure; Abraham M Lenhoff
Journal:  J Chromatogr A       Date:  2012-03-08       Impact factor: 4.759

4.  Modeling of flow in a polymeric chromatographic monolith.

Authors:  Harun Koku; Robert S Maier; Kirk J Czymmek; Mark R Schure; Abraham M Lenhoff
Journal:  J Chromatogr A       Date:  2011-04-04       Impact factor: 4.759

5.  Development of an affinity silica monolith containing human serum albumin for chiral separations.

Authors:  Rangan Mallik; David S Hage
Journal:  J Pharm Biomed Anal       Date:  2007-03-24       Impact factor: 3.935

6.  Preparation of Monolithic Capillary Chromatographic Columns Using Supercritical Fluid as a Porogen Solvent.

Authors:  Michał Szumski; Bogusław Buszewski
Journal:  Chromatographia       Date:  2014-03-16       Impact factor: 2.044

7.  Development of an automatic solid phase extraction and liquid chromatography mass spectrometry method by using a monolithic column for the analysis of Cyclosporin A in human plasma.

Authors:  Covadonga Alvarez; Irving W Wainer
Journal:  Talanta       Date:  2009-04-02       Impact factor: 6.057

Review 8.  Silica-Based Monolithic Columns as a Tool in HPLC-An Overview of Application in Analysis of Active Compounds in Biological Samples.

Authors:  Michał Staniak; Magdalena Wójciak; Ireneusz Sowa; Katarzyna Tyszczuk-Rotko; Maciej Strzemski; Sławomir Dresler; Wojciech Myśliński
Journal:  Molecules       Date:  2020-07-09       Impact factor: 4.411

9.  Profile of native cellulosomal proteins of Clostridium cellulovorans adapted to various carbon sources.

Authors:  Hironobu Morisaka; Kazuma Matsui; Yohei Tatsukami; Kouichi Kuroda; Hideo Miyake; Yutaka Tamaru; Mitsuyoshi Ueda
Journal:  AMB Express       Date:  2012-07-29       Impact factor: 3.298

  9 in total

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