Agilent, 75502050, VersaPlate well plate tubes, C18, 120 μm, 50 mg, 96/pk

VersaPlate well plate tubes, C18, 120 μm, 50 mg, 96/pk. A versatile design that lets you customize plates, insert tubes packed with different phases for sorbent screening, or insert tubes to match the number of samples to be extracted for minimal waste.

Specifications:
Bed Mass: 50 mg
Frit Material: Polyethylene
Frit Pore Size: 20
Particle Size: 120 µm
Phase: C18
SPE Category: Non-polar
Sorbent Mass (mg): 50
Sterile: No
UNSPSC Code: 41122102
Volume: 1.8 mL
Well Shape: Round

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Agilent VersaPlate well plate tubes with C18, 120 micron particle size and 50 mg sorbent mass are engineered for high-throughput sample preparation and purification workflows. Supplied in a 96-tube format, these devices are ideal for applications requiring rapid solid phase extraction SPE of analytes from complex matrices, including pharmaceutical, environmental, food, and life sciences research. The reversed-phase C18 chemistry offers reliable retention and elution of a broad range of hydrophobic compounds, ensuring consistent results and reproducibility across multiple samples.

These well plate tubes are compatible with standard 96-well processing equipment, automated liquid handling systems, and multichannel pipettes, enabling seamless integration into existing laboratory automation platforms. Their design allows for efficient parallel sample processing, minimizing cross-contamination and maximizing throughput in medium to high-volume analytical laboratories. The robust construction supports use with a variety of aqueous and organic solvents, accommodating diverse sample types and protocols.

Agilent recommends use with its corresponding VersaPlate well plates and vacuum manifolds for optimal performance. These tubes are also suitable for LC-MS, GC-MS, and other analytical techniques requiring efficient sample clean-up and preparation. Researchers benefit from reduced processing time and improved accuracy, supporting demanding workloads and reproducible analytical data generation.