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Rigaku Further Expands its Handheld Platform to Maximize Chemical Analysis Response with a device that can identify narcotics, explosives, toxic industrial chemicals, chemical warfare agents

Rigaku Analytical Devices announces the launch of the CQL Max-ID™ handheld 1064 nm Raman analyzer, offering features and benefits that maximize chemical threat analysis in safety and security applications. With an on-board library of over 13,000 items, the CQL Max-ID provides border security officials with a device that can identify narcotics, explosives, toxic industrial chemicals, chemical warfare agents (CWAs), and more–without the concerns of fluorescence interference. 

Based upon the award-winning Rigaku 1064 nm Raman-based platform, the CQL Max-ID reduces sample induced fluorescence interference, ensuring a result within less than one minute.  With the ability to select the analysis mode, the CQL Max-ID has the unique capability of providing situational analysis based on the user’s needs:

  1. Identification of an unknown
  2. Priority listing of a substance (utilization of ThreatAlert™ hazard targeting)
  3. Detection of an unknown (with optional QuickDetect™)

Additional features available on the new CQL Max-ID include: 

  • Automatic mixture analysis of up to five components
  • Addition of notes and pictorial evidence using an on-board camera
  • Adjustable nose cone to scan through different thickness and types of packaging
  • Integrated Chemwatch SDS information
  • Pre-configured setting selections based on application
  • CommandSuite™ integrated fleet management capability
  • Long battery life of over 5 hours (also hot swappable)
  • Connectivity to desktop or mobile device via USB, Wi-Fi or Peer-to-Peer
  • Three years of warranty coverage

“With the integration of the Rigaku CQL Max-ID into our portfolio of handheld Raman analyzers, we are expanding chemical analysis solutions for our end users that truly fit their needs,” said Chris Langford, VP Marketing & Product Management.  “We’re excited to continue to develop based on feedback from the field, as we want to ensure our customers are equipped with the most advanced tools for everyone’s safety.”

Built upon the updated CQL platform that has been accepted as part of the U.S. DoD JPEO DR SKO System Modernization Program, the CQL Max-ID joins the existing CQL Gen-ID–for more general hazardous analysis–with the ability to offer more targeted CQL variations in the future.