FT-NIR Spectral Sensors And Near Infrared Spectroscopy Sensors
The unique information from the vibrational absorption bands of a molecule is reflected in the NIR spectrum, but some spectral numerical processing and statistical analysis are required to “unlock” this information. The application of statistical methods to the analysis of experimental data is known as chemometrics.
It may appear that NIR spectroscopy is an indirect way for material analysis and that the development of an analysis model is a complex process. In practice however, the advantages of using NIR for material analysis justify the efforts required to build the analysis models.
The results of spectral analysis are instantaneous. Unlike wet chemical and other conventional analysis methods, there is no need to wait for certain transformations to happen in the sample.
Different physical and chemical parameters of the sample can be analyzed with a single scan.
Analysis can be done without preparing the sample.
Analysis can be done while keeping the sample intact.
NIR spectroscopy tends to be used for well-targeted applications, and results are based on the well- proven analyses and/or property measurements. In practice, there are three traditional ways to use the spectral data obtained.
The measurement of multi-component systems for material concentration or for modeled physical/chemical properties
The confirmation of a material make-up (quality control/quality assurance) by correlation methods
Material identification using positive or negative correlation methods.