Digital compressive chemical quantitation and hyperspectral imaging
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 pro...
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| Veröffentlicht in: | Analyst (London) 2013-09, Vol.138 (17), p.4982-499 |
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| container_issue | 17 |
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| container_title | Analyst (London) |
| container_volume | 138 |
| creator | Wilcox, David S Buzzard, Gregery T Lucier, Bradley J Rehrauer, Owen G Wang, Ping Ben-Amotz, Dor |
| description | 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.
Optimal binary compressive detection is used to rapidly quantify the composition of liquid mixtures and to chemically image mixed solid powders. |
| doi_str_mv | 10.1039/c3an00309d |
| format | Article |
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| fulltext | fulltext |
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| ispartof | Analyst (London), 2013-09, Vol.138 (17), p.4982-499 |
| issn | 0003-2654 1364-5528 |
| language | eng |
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| source | Royal Society of Chemistry Journals Archive (1841-2007); Royal Society Of Chemistry Journals 2008-; Alma/SFX Local Collection |
| subjects | Digital Hyperspectral imaging Image detection Liquids Raman spectroscopy Spectra Training |
| title | Digital compressive chemical quantitation and hyperspectral imaging |
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