Product Description
AdvanceBio SEC 200 Å, 4.6 x 300 mm, 1.9 µm, LC column. A size exclusion column designed to improve resolution and provide faster separation of monoclonal antibody aggregates and fragments by UHPLC. The resolving range is 2-700 kDa.
Specifications:
Brand: AdvanceBio SEC
Guard Column: No
Hardware: SS
Inner Diameter (ID): 4.6 mm
LC Platform: Stainless Steel
Length: 300 mm
Maximum Temperature: 80 °C (20 to 40 °C recommended)
Molecular Weight Lower Limit: 2000 Da
Molecular Weight Upper Limit: 700000 Da
Particle Size: 1.9 µm
Phase: SEC
Pore Size: 200 Å
Pressure Rating: 620 bar
Separation Mode: Size Exclusion (SEC)
Shipping Solvent: Phosphate Buffer/0.02% Sodium azide
UNSPSC Code: 41115709
pH Range: 2-8.5
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Designed for high-resolution size exclusion chromatography, this LC column features a 200 Å pore size, 4.6 x 300 mm dimensions, and 1.9 µm particle size, ensuring precise molecular weight separation of proteins and biotherapeutics. It enables accurate analysis of monoclonal antibodies, biosimilars, and aggregates, critical for biopharmaceutical research, quality control, and method development. Optimized for use with UHPLC and HPLC systems, the column delivers superior resolution and consistent performance, even at high flow rates and pressures. Its silica-based stationary phase offers excellent stability and low non-specific binding, making it suitable for sensitive determinations in complex biological samples. The robust construction supports a range of mobile phases, enabling flexibility in analytical method setup. Compatible with Agilent 1200 Infinity Series, 1260 Infinity II, and comparable liquid chromatography platforms, it integrates seamlessly into existing laboratory workflows. For advanced analytical capabilities, it can be used alongside Agilent AdvanceBio SEC 300 Å columns or related modules for comprehensive characterization of molecular size variants. This column supports a range of research applications, from detailed impurity profiling to routine batch release testing, providing reliable and reproducible results for scientists in biopharma development and manufacturing environments.
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Collaboration
Tony Tang
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