Rigaku Progeny ResQ FLX

Rigaku Progeny ResQ FLX

Smiths IONSCAN 600



Handheld, non-contact chemical identifier

Availability: In stock
Smiths ACE-ID

ACE-ID quickly screens potentially dangerous unidentified substances such as explosives, narcotics and toxic chemicals. Orbital Raster Scan (ORS) technology diffuses Raman laser energy to reduce the risk of heating/igniting explosives, burning samples or detonating energetic materials.

ACE-ID uses Raman spectroscopy to enable non-contact analysis, and yields results in seconds. Materials can be identified through translucent and semi-translucent containers such as plastic and glass. The analysis is also supported by a software kit for remote operation.

The device is compact, robust and lightweight – it can be operated with just one hand. It is easy to use – an intuitive software interface guides users through the entire identification process – and it requires minimal training, making it available to personnel of different skill levels.

It is also certified to MIL-STD-810G for use in harsh conditions and high temperatures.

More Information
Manufacturer Smiths Detection
Technology Raman
Size 12.7 x 8.9 x 5.6cm (5 x 3.5 x 2.2in)
Weight 0.45kg (1lb)
Sampling Point and shoot
Library Approximately 500 substances including explosives, narcotics and toxic chemicals with user library capability via laptop software to add samples
Start-up time Less than 20 sec at 20°C (68°F)
Detection time Less than 20 sec at 20°C (68°F)
Power One lithium battery (SureFire or CR123A) or USB power source
Display Touchscreen display (compatible with level A PPE gloves)
Connectivity Micro USB
Operating temperature -20° to +50°C (-4° to 122°F)
Storage temperature range -40° to +70°C (-40° to 158°F)
Operating humidity >95%

• Rapidly identifies solids, liquids, gels and powders
• Chemical identification answers in 20 seconds
• MIL-STD-810G rugged and IP53 for decon
• Scans through plastic bags and bottles
• Proprietary mixture-analysis software enables identification of up to two components within sample

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