Improving Intact Biogeneric Protein Separations with Aeris™ WIDEPORE Core-Shell Columns

Improving Intact Biogeneric Protein Separations with Aeris™ WIDEPORE Core-Shell Columns

30 Jun 2015

This application note demonstrates the use of Aeris™ WIDEPORE core-shell columns in the improved resolution in large proteins. This is useful in refolding, impurity, and post-translational modification assays on intact biogeneric proteins.

Aeris Core-Shell LC Columns for Proteins and Peptides

Phenomenex Inc

  Core-Shell Particles Precision Engineered for Protein and Peptide Separations.   Core-shell particle technology provides striking increases in peak capacity and resolution at lower backpressure, giving chromatographers the ability to achieve ultra-high performance on ANY system, HPLC or UHPLC. A uniform porous silica layer is grown around a solid, spherical silica core, providing effective retention and selectivity with improved resolution, speed, and recovery. Next, optimizing the pore size and shell thickness for intact proteins or smaller peptide fragments provides well-defined depth penetration of biomolecules leading to maximum separation power. Column Specifications: Phase: PEPTIDE XB-C18, WIDEPORE C4, WIDEPORE XB-C18, WIDEPORE XB-C8 Particle Size: 1.7, 2.6, 3.6, 5.0 µm Pore Size: 200, 100 Å Length: 50, 100, 150, 250 mm ID: 2.1, 3.0, 4.6, 10.0, 21.2 PEPTIDE XB-C18 Synthetic peptide impurity analysis Peptide mapping Identifying protein modifications - Glycosylation - Substitution - Truncation Analyzing post-translational modifications - Deamidation - Oxidation - Deletions WIDEPORE XB-C18 Proteins Hydrophilic proteins PEGylated proteins High temperature separations Alternative selectivity for peptide mapping WIDEPORE XB-C8 Large proteins Moderately hydrophobic proteins Monoclonal antibodies Glycosylated proteins High temperature separations WIDEPORE C4 Very large proteins Very hydrophobic proteins Membrane proteins Least retentive

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Improving Intact Biogeneric Protein Separations with Aeris™ WIDEPORE Core-Shell Columns