New! The Thermo Scientific MAbPac™ SCX-10 Column line has been expanded to include new formats with 4 × 150 mm, 4 × 50 mm and 2 × 250 mm dimensions.

The MAbPac SCX-10 column is a strong cation-exchange column designed specifically for the high-resolution, high-efficiency analysis of monoclonal antibodies and associated variants. The unique nonporous pellicular resin provides exceptionally high resolving power, permitting the separation of monoclonal antibody variants that differ by as little as one charged residue. Hydrophobic interactions with the resin are eliminated for very efficient peaks.

Features:
• Unequalled high-resolution separations
• Exceptionally high efficiency
• Highest resolution of monoclonal antibody variants
• Unmatched column-to-column and lot-to-lot reproducibility
• Hydrophobic interactions eliminated
• Ideal for stability testing

The MAbPac SCX-10 column is complimentary to the industry-leading ProPac® WCX-10 column for monoclonal antibody variant analysis. The MAbPac SCX-10 offers an alternative selectivity and provides higher resolution and efficiency for variant analysis of most monoclonal antibody samples than the ProPac WCX-10 column.

The MAbPac SCX-10 column is ideal for the high-resolution, high-efficiency analysis of monoclonal antibodies and associated variants and is available in 4 × 250 mm, 4 × 150 mm, 4 × 50 mm, and 2 × 250 formats. The MAbPac resin technology is the basis for the superior performance of monoclonal antibody variant analysis. The nonporous core particle provides high rates of mass transfer, which results in high-efficiency separations. A hydrophilic layer surrounds the polymeric beads, eliminating hydrophobic interactions between proteins and the resin while contributing to high-efficiency peaks. A proprietary grafted cation-exchange surface provides pH selectivity control, resulting in high-resolution separations.

MAbPac SCX-10 columns are designed to address the regulatory requirements for biopharmaceutical characterization. The consistent manufacturing processes ensure reproducibility in methods development and data analysis.