报告摘要：

Compressive detection (CD), implemented using optimized binary (OB) computer programmable optical filters, is shown to greatly increase the speed at which Raman spectroscopy can be used to quantify the chemical composition of mixtures and to image composites of pharmaceutical relevance. Applications of OB-CD are illustrated by demonstrating the Raman-based analysis of liquid and solid mixtures, as well as samples with varying degrees of fluorescence interference. OB-CD may also be

implement as an unsupervised classification method by using multivariate curve resolution (MCR) to estimate chemical component spectra, thus facilitating high speed chemical analysis and imaging even when no pure chemical component samples are available for training. Two OB-CD prototype instruments have been built, one with a near-infrared (785 nm) excitation laser and other with a visible (514 nm) excitation laser. The speed advantage of OB-CD is demonstrated using quantitative comparisons with Hadamard Transform and CCD-based Raman measurements.

主讲人简介：

Professor Dor Ben-Amotz is the head of the Physical Chemistry Division in the Department of Chemistry at Purdue University. He is an expert in the development and application of Raman spectroscopic methods, including the drop-coating-deposition Raman (DCDR) method for proteomic sensing, Raman multivariate curve resolution (Raman-MCR) method for measuring the vibration spectra of the hydration-shells of molecule dissolved in water, and the optimized-binary compressive-detection (OB-CD) method for real time chemical identification and imaging. Prof. Ben-Amotz has also written a textbook entitled Understanding Physical Chemistry (Wiley, 2013).