Spectral FT-IR sensor - NeoSpectra™ Micro for 1350 to 2500 nm
The world’s smallest FT-IR sensor of the NeoSpectra Micro™ is based on monolithic MEMS technology and is developed and produced by Si-Ware Systems.
In addition to the MEMS chip and InGaAs photodetector, the Micro contains several ASICs for device control and data processing, as well as an optical head. This already consists of a complete illumination unit and coupling optics, which are designed for reflection measurements. Customized optical heads can be developed. Via the Ball Grid Array (BGA) underneath, the Micro is soldered onto your own board and thus mounted mechanically stable, supplied with power and becomes addressable via SPI.
Hence, the NeoSpectra™ Micro is the ideal solution for NIR analysis in mobile handheld devices that require a very small size, a good price and a wide wavelength range.
The Micro is also available soldered onto an interface board. This can be used to accelerate the development of your own application. Using the SPI interface and the available sample code, the Micro on the interface board can easily be controlled and spectra obtained.
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|WL range||1,350 - 2,500 nm|
|S/N*||>2,000:1 @ 2,350 nm|
|Accuracy / Repeatability||± 1.5 nm / ± 0.15 @ 1,400 nm|
|Temperature range||-5 .... +40°C|
|Interface||BGA / SPI|
How it works
The NeoSpectra™ devices are based on a full Michel interferometer that is realised on a MEMS chip. A MEMS oscillating mirror represents the movable arm of the interferometer. From the coupled light arises an interferogram on the InGAs photodetector, from which the spectrum is calculated via Fourier-Transformation.
Most qualitative and quantitative analysis possible in NIR with spectroscopy can be transferred to the NeoSpectra™ devices. Typical applications are for example:
- Water content measurements of liquids, solid materials and powders for process and quality control
- Identification of faked materials, such as the differentiation of silk, wool, cotton, elastane, etc.
- Quantitative measurements of the composition of food or feed, e.g. the content of fat, protein and lactose of milk.
- Characterization of plastics, e.g. via polymer identification such as polyethylene, polypropylene, polyvinylchloride etc.