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Issue 17, 2013
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Digital compressive chemical quantitation and hyperspectral imaging

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Abstract

Digital compressive detection, implemented using optimized binary (OB) filters, is shown to greatly increase the speed at which Raman spectroscopy can be used to quantify the composition of liquid mixtures and to chemically image mixed solid powders. We further demonstrate that OB filters can be produced using multivariate curve resolution (MCR) to pre-process mixture training spectra, thus facilitating the quantitation of mixtures even when no pure chemical component samples are available for training.

Graphical abstract: Digital compressive chemical quantitation and hyperspectral imaging

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Publication details

The article was received on 12 Feb 2013, accepted on 20 Jun 2013 and first published on 20 Jun 2013


Article type: Paper
DOI: 10.1039/C3AN00309D
Citation: Analyst, 2013,138, 4982-4990
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    Digital compressive chemical quantitation and hyperspectral imaging

    D. S. Wilcox, G. T. Buzzard, B. J. Lucier, O. G. Rehrauer, P. Wang and D. Ben-Amotz, Analyst, 2013, 138, 4982
    DOI: 10.1039/C3AN00309D

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