BRAND / VENDOR: Agilent

Agilent, 122-5631G5, J&W DB-5.625 GC Column, 30 m, 0.25 mm, 0.25 µm, DuraGuard, 5 m

CATALOG NUMBER: 122-5631G5

Regular price$0.99
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Product Description

J&W DB-5.625 GC Column, 30 m, 0.25 mm, 0.25 µm, DuraGuard, 5 m

Specifications:
Capillary Tubing: Fused Silica
Film Thickness: 0.25 µm
Format: 7 inch
Guard Length: 5 m
Inner Diameter (ID): 0.25 mm
Length: 30 m
Phase: DB-5.625
Polarity: Low Polarity
Temperature Range: -60 °C-325/350 °C
UNSPSC Code: 41115710
With Smart Key: No

**********The following product description is generated by AI and is for reference only. If you have any questions, please contact customer service.**********
This high-performance GC column is designed for robust and reliable analytical workflows, featuring a 30 meter length, 0.25 mm inner diameter, and 0.25 micron film thickness. Integrated with a 5 meter DuraGuard pre-column, it effectively protects the analytical column from contamination, extending column lifetime and ensuring consistent peak performance. The stationary phase delivers a polarity optimized for the analysis of semi-volatile compounds, such as pesticides, environmental pollutants, and pharmaceuticals, making it highly suitable for food safety testing, environmental analysis, and forensic investigations. The guard column feature eliminates the need for manual connection, minimizing dead volume and potential leak points, which is ideal for high-throughput laboratories seeking operational efficiency. Compatible with all standard GC systems, including Agilent 6890, 7890, and Intuvo series instruments, this column integrates seamlessly with popular mass spectrometry detectors to deliver sensitive, accurate results. It is especially suited for use with Agilent autosamplers and data analysis software for streamlined operation. Researchers and analysts benefit from reduced maintenance requirements, excellent reproducibility, and reliable data quality in demanding applications. This column is an excellent choice for those aiming to meet regulatory standards and achieve high-confidence quantification of complex sample matrices.

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