Abstract
The measurement of the physical and chemical (“physicochemical”) properties of nanomaterials used in industry and science including chemistry, pharmacy, medicine, toxicology, etc., is time-consuming, expensive and requires a lot of experience of a well trained lab staff. Near-infrared spectroscopy (NIR; 4.000-12.000 cm-1), working in the wavelength region with the highest IR energy, allows obtaining multifactorial information of the material under investigation due to the occurrence of a high number of combination and overtone vibrations. Coupling of an optimized and well-designed measurement technique with multivariate data analysis (MVA) leads to a non-destructive, fast, reliable and robust novel NIR technique for the fast and non-invasive physicochemical characterization, which is suitable for high-throughput quality control due to the short analyses times of only a few seconds. In the following chapters, the patented basic NIR techniques full-filling these aims are introduced, described, summarized and critically discussed.
Keywords: Physicochemical Characterization, High-Throughput Quality Control, Near-infrared spectroscopy, robust novel, Brunauer-Emett-Teller, electron microscopy, dynamic learning vector quantization, MALDI, matrix assisted laser desorption ionization, multiplicative scattering correction, mass spectrometry, multivariate data analysis, principal component analysis, principal component regression, partial least square regression
Call for Papers in Thematic Issues
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