Spectral Engines MEMS spectral sensors

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Spectral Engines is revolutionising spectral sensing with disruptive MEMS (Micro Electro Mechanical Systems)-based sensor technology, available from Laser 2000.

Spectral Engines provides unique miniaturised spectral sensors for detection and analysis of gases, solids and liquids to improve the quality and energy efficiency in manufacturing. The devices are used, for example, for measuring moisture in process industry, food content (protein, fat, sugars), and for gas detection and analysis.
Traditionally, most of the companies have been using infrared spectroscopy for reliable materials detection and analysis. Today smaller, smarter and cheaper devices come into play to revolutionise the industry. Spectral Engines offers spectrometer performance at a sensor price point. The unique scalable technology enables size and cost reduction in the next generation of spectral measurement. Huge spectrometer machines are replaced by compact, lightweight, cost effective and low power sensors, which are also compatible to be connected wirelessly to Internet-of-Things and cloud services.
The memsNIR and memsMIR spectral sensors utilize innovative MEMS-based Fabry-Perot tunable filter technology. Spectral Engines’s spectral sensors can be applied in process quality monitoring and portable analysers, such as in fat, protein and moisture measurements. As an example, moisture content is a critical quality parameter in many industrial processes, like pharmaceutical, paper and food production. Applications also include hydrocarbon measurements in oil and gas industry, CO2 in ventilation applications and many other gas measurement applications.

  • CO2 sensing in HVAC application
  • Food processing and control
  • Fuel quality sensing
  • Hydrocarbon sensing in hazardous areas
  • Process monitoring in the pharmaceutical industry
  • Moisture measurements, such as real-time paper moisture monitoring


  • Inexpensive
  • Small size
  • Versality
  • Low power consumption
  • Speed
  • Robustness
  • Scalability to high volumes