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Raman line mapping as a fast method for analyzing pharmaceutical bead formulations

Raman line mapping as a fast method for analyzing pharmaceutical bead formulations

Sasic, Slobodan, Clark, Donald A., Mitchell, John C. ORCID: 0000-0003-2945-3292 and Snowden, Martin J. (2005) Raman line mapping as a fast method for analyzing pharmaceutical bead formulations. The Analyst, 130 (11). pp. 1530-1536. ISSN 0003-2654 (Print), 1364-5528 (Online) (doi:10.1039/B506523B)

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Abstract

This paper describes the use of principal component analysis (PCA) to de-noise Raman spectra and considerably shorten data acquisition time in Raman mapping experiments. A solid dosage pharmaceutical material (bead) is mapped by a Raman line-mapping system. The mapping acquisition time was varied from 30 s (usually employed in practice) to only 3 s. Apparently excessive noise in the maps measured for 3 s is removed by PCA and the maps of all three components of the bead are then binarized and compared. It is found that spatial difference is negligible despite the remarkably different acquisition times employed. The spectra acquired for 3 s and reconstructed via PCA are found to largely overlap with the spectra acquired for 30 s. The signal to noise ratio of the Raman mapping spectra does not obey the expected !t dependence, thereby preventing straightforward estimation of the shortest usable acquisition time (which is to a lesser extent also a function of the binarization threshold). The results reveal that Raman microscopy can be considered a fast method for mapping some materials, in contrast to the established opinion that it is an inherently slow technique.

Item Type: Article
Additional Information: [1] First published online: 23rd September 2005
Uncontrolled Keywords: Raman line mapping
Subjects: Q Science > QD Chemistry
R Medicine > RS Pharmacy and materia medica
Faculty / Department / Research Group: Faculty of Engineering & Science
Related URLs:
Last Modified: 14 Oct 2016 09:11
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/4195

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