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Metal detector ensures metal-free tablets

A Mettler Toledo Safeline product story
Edited by the Processingtalk editorial team Nov 28, 2008

Mettler-Toledo Safeline has launched the Tablex 2 metal detector, to safeguard pharmaceutical and nutraceutical tablets from metal contaminants in compliance with Good Manufacturing Practice.

Physical contaminants can be introduced to pharmaceutical and nutraceutical products via raw material from suppliers, broken or chipped mixing blades, damaged screens and sieves and from metal-on-metal tablet and capsule moulding processes.

Good Manufacturing Practice (GMP) necessitates having product inspection safeguards in place at critical control points in the process, including the mixing/milling room, the tableting room and in final packaging areas.

Mettler-Toledo Safeline Tablex metal detectors are designed specifically for high-speed inspection of tablets and capsules being discharged from moulding presses.

The Tablex 2 metal detector employs enhanced filtering techniques with our core advanced coil technology, to deliver online sensitivity to all metal types.

It easily fits into any press output configuration, with robust low-profile casters for mobility and three-axis head adjustment flexibility.

Tablets and capsules slide through the metal detector head in a chute, and an integrated side-diverter or lift-flap reject mechanism automatically removes contaminated product from the flow.

Mettler-Toledo Safeline metal detectors offer integral performance validation routines (PVR) to alert operators when performance testing is due, and walk QA personnel through the step-by-step process.

Our metal detectors are OPC-compliant, and designed to connect with manufacturing data management systems for remote operation and monitoring.

Mettler-Toledo Safeline's product inspection equipment is reliable and easy to use, with operator-intuitive touch pads or touch screen interfaces, automatic setup and password-protected security tiers.

It is OPC-compliant, and designed to connect with manufacturing data management systems for real-time and historic image and data capture/analysis.

Quality assurance personnel can run diagnostic routines from a remote location.

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