MASTER10-D Fourier transform near-infrared spectrometer Introduction
The Master10-D Fourier Transform Near Infrared Spectrometer is equipped with a Dual Eye to capture the reflected spectrum signal of a solid sample.
The Master10-D simultaneously illuminates the solid sample through the external dual light source of the Dual Eye, and condenses the reflected spectral signal into the detector through the optical system inside the Dual Eye, greatly improving the spectral collection efficiency and signal-to-noise ratio.
This sampling method is very suitable for non-contact analysis of solid samples, such as the detection of tobacco leaves on conveyor belts in the tobacco industry, the detection of raw coal in coal preparation lines, the detection of raw material content in the feed industry, etc.; it is also suitable for large and irregular uneven samples. Large-area illumination sampling can increase the representativeness of the sample spectrum. Technical parameter
Spectral range: 4000-12000cm -1
Probe material: 316 stainless steel
Probe light window: sapphire
Probe size: 154mm (height) * 144mm (diameter)
Focusing distance: 90mm
Light source: 24V, dual light source
Sampling method: non-contact reflection
Introduction
The Master10-D Fourier Transform Near Infrared Spectrometer is equipped with a Dual Eye to capture the reflected spectrum signal of a solid sample.
The Master10-D simultaneously illuminates the solid sample through the external dual light source of the Dual Eye, and condenses the reflected spectral signal into the detector through the optical system inside the Dual Eye, greatly improving the spectral collection efficiency and signal-to-noise ratio.
This sampling method is very suitable for non-contact analysis of solid samples, such as the detection of tobacco leaves on conveyor belts in the tobacco industry, the detection of raw coal in coal preparation lines, the detection of raw material content in the feed industry, etc.; it is also suitable for large and irregular uneven samples. Large-area illumination sampling can increase the representativeness of the sample spectrum.
