Hamilton MPE2 Positive Pressure Module with 96-Well Air Manifold for Automated Sample Processing

The Hamilton MPE2 Positive Pressure Module is a specialized laboratory automation device designed for controlled sample processing using regulated positive air pressure in 96-well plate formats. It features a 96-hole air manifold that ensures uniform and consistent pressure distribution across all wells, which is essential for reliable filtration, solid-phase extraction (SPE), and nucleic acid purification workflows.

Key technical specifications include:

• Air Pressure Range: 80 to 120 psi, adjustable to accommodate diverse sample protocols including liquid-liquid extraction and protein precipitation.
• Communication Interfaces: Ethernet and USB support integration with automated liquid handling platforms including NIMBUS, STAR, and Microlab VANTAGE systems.
• Power Requirements: Input 100–240 VAC, 50–60 Hz; output 48 VDC, 221 W max.
• Modular Design: Includes separate Control and Logistics modules sized for compact integration in laboratory decks.
• Built-In Sensors: Continuous monitoring of pressure levels, under/over-pressure conditions, and waste bottle status guarantees process safety and reliability.

This module is critical in biotechnology laboratories for applications such as molecular diagnostics, bioprocessing sample preparation, and biopharmaceutical production pipelines, where precise and reproducible filtration and extraction steps are necessary. It supports seamless integration into automated workflows widely adopted in synthetic biology research and clinical diagnostics.

Included with the unit are essential cables and accessories for connection and waste management. Note that this module is sold exclusively as part of a complete Hamilton automation system and requires a device driver purchase from Hamilton for integration with Tecan decks.

Its robust construction and advanced pressure control technology make the MPE2 an indispensable tool for high-throughput and delicate sample handling in research areas including cell imaging, neuroscience, and biomedical engineering.

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