Agilent, 5500-1283, Capillary MP35N 0.25 x 80mm SI/SI ps/ps

Capillary MP35N 0.25 x 80mm SI/SI ps/ps. Includes two fittings with gold ferrule. Compatible with InfinityLab Bio Instruments

Specifications:
Application Compatibility: Bio-compatible
Fitting Type Left End: SI (Swagelok, 1.6 mm ID, stainless steel, intermediate screw)
Fitting Type Right End: SI (Swagelok, 1.6 mm ID, stainless steel, intermediate screw)
Inner Diameter (ID): 0.25 mm
Length: 80 mm
Material: MP35N
Product Type: Capillary
Swage Status Fitting Left End: Pre-swaged
Swage Status Fitting Right End: Pre-swaged
System Compatibility: 1290 Infinity II & III Bio LC System

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This capillary is constructed from high-performance MP35N alloy, renowned for its exceptional corrosion resistance and mechanical strength, and features precise dimensions of 0.25 mm internal diameter and 80 mm length. Both ends are straight and specifically designed to interface seamlessly with SI type connectors, ensuring secure and reliable integration into analytical systems. This capillary is ideal for high-pressure and high-temperature chromatographic applications demanding robust mechanical properties and extended chemical durability. It is frequently utilized in liquid chromatography and mass spectrometry workflows, including peptide, protein, and small molecule analysis in pharmaceutical, environmental, and life science research laboratories. This capillary enables efficient fluid transfer with minimal sample loss, supporting high-resolution separations and reproducible analytical performance. Compatibility is ensured with a range of Agilent LC and MS systems, such as the InfinityLab series and legacy Agilent 1100/1200 systems, as well as other instruments using standard SI fittings. This product is also suitable for replacing or upgrading existing chromatography capillaries, offering reliable performance in both routine and advanced analytical workflows. For enhanced system configuration, consider pairing with Agilent fittings, columns, and other fluidic components designed to optimize throughput and data quality.