Spectral Sensor Solution For NIR Analysis

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It can classify different materials and quantify their composition such as the chemical content of milk and plastics

ChipSense, a tiny spectral chip by MantiSpectra, a startup of Eindhoven University of Technology alumni, contains sixteen detectors and is based on an array of resonant-enhanced photodetectors. They comprise an absorbing layer that can select wavelengths in the near-infrared region (850-1700nm).

It can classify different materials and quantify their composition such as the chemical content of milk and plastics. It relies on fully integrated technology based on the Indium Phosphide platform. Features include miniature size to fit in a smartphone, no moving parts, high signal to noise ratio (~10000 SNR), multi-pixel read-out in less than a few seconds and scalability. Applications include smart farming, smart industry and smart home.

ChipSense can be used in a handheld scanner called the SpectraPod. It features a USB port that allows the user to collect data with a laptop, organise measurements and build predictive models.


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