A repository & source of cutting edge news about emerging terahertz technology, it's commercialization & innovations in THz devices, quality & process control, medical diagnostics, security, astronomy, communications, applications in graphene, metamaterials, CMOS, compressive sensing, 3d printing, and the Internet of Nanothings. NOTHING POSTED IS INVESTMENT ADVICE! REPOSTED COPYRIGHT IS FOR EDUCATIONAL USE.
Wednesday, December 2, 2015
Abstract-Bayesian separation algorithm of THz spectral sources applied to D-glucose monohydrate dehydration kinetics
An estimation of the dehydration kinetics of monohydrated D-glucose with the use of the Bayesian spectral source separation algorithm is described. The dehydration experiment was probed with the terahertz time domain spectroscopy (THz-TDS). Contrary to the widely used peak-area method, our approach to the quantitative analysis takes into account the full spectral information. The obtained concentration profiles at different temperatures were processed in order to measure the kinetics of the dehydration process. Our investigation shows that the proposed method may be used to estimate the evolution of concentration despite the overlapping peaks and multiple spectral sources in the observed spectra.