Agilent, PL1712-6801, PLRP-S 300Å, 50 x 300 mm, 8 µm

PLRP-S 300Å, 50 x 300 mm, 8 µm. Reversed-phase HPLC column with fully porous PS/DVB particle support stable at elevated temperatures and a wide pH range(1-14). Available in range of particle and pore sizes for targeted applications

Specifications:
Brand: PLRP-S
Hardware: SS
Inner Diameter (ID): 50 mm
LC Platform: Preparative HPLC
Length: 300 mm
Maximum Temperature: 200 °C
Part Number Application Domain: Biopharma
Part Number Application: PeptidesPreparative HPLC Columns & Bulk MediaProteins
Particle Size: 8 µm
Particle Type: Fully Porous
Phase: DVB
Pore Size: 300 Å
Pressure Rating: 207 bar
Separation Mode: Reversed Phase
Shipping Solvent: Acetonitrile/Water
Technique: LCLC & LC/MS
UNSPSC Code: 41115711
pH Range: 1-14

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Designed for high-performance protein and peptide separations, this reversed-phase column features a robust polymeric matrix with 300 angstrom pore size and 8 micron particle size, providing excellent resolution for large biomolecules. Measuring 50 by 300 millimeters, the column offers substantial loading capacity, making it ideal for both analytical and preparative scale applications in biotechnology and pharmaceutical research.

The large pore size accommodates the separation of proteins, peptides, oligonucleotides, and other macromolecules without restricted diffusion, ensuring efficient recovery and reproducibility. Its rigid polymer particle construction enables operation under a wide range of pH conditions and with aggressive eluents, increasing method flexibility and column longevity.

This column is fully compatible with most Agilent liquid chromatography systems, including preparative HPLC platforms, and can be integrated with systems from other major manufacturers. It is particularly suited for applications in protein purification, characterization studies, bioseparations, and the analysis of complex biological samples. For streamlined workflow, it can be used in conjunction with related Agilent PLRP-S columns with varying dimensions and particle sizes to optimize separation strategies across different sample types and volumes, supporting both research and production environments.