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Issue 24, 2013
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Raman database of amino acids solutions: a critical study of Extended Multiplicative Signal Correction

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Abstract

The Raman spectra of biological materials always exhibit complex profiles, constituting several peaks and/or bands which arise due to the large variety of biomolecules. The extraction of quantitative information from these spectra is not a trivial task. While qualitative information can be retrieved from the changes in peaks frequencies or from the appearance/disappearance of some peaks, quantitative analysis requires an examination of peak intensities. Unfortunately in biological samples it is not easy to identify a reference peak for normalizing intensities, and this makes it very difficult to study the peak intensities. In the last decades a more refined mathematical tool, the extended multiplicative signal correction (EMSC), has been proposed for treating infrared spectra, which is also capable of providing quantitative information. From the mathematical and physical point of view, EMSC can also be applied to Raman spectra, as recently proposed. In this work the reliability of the EMSC procedure is tested by application to a well defined biological system: the 20 standard amino acids and their combination in peptides. The first step is the collection of a Raman database of these 20 amino acids, and subsequently EMSC processing is applied to retrieve quantitative information from amino acids mixtures and peptides. A critical review of the results is presented, showing that EMSC has to be carefully handled for complex biological systems.

Graphical abstract: Raman database of amino acids solutions: a critical study of Extended Multiplicative Signal Correction

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Publication details

The article was received on 03 Sep 2013, accepted on 02 Oct 2013 and first published on 02 Oct 2013


Article type: Paper
DOI: 10.1039/C3AN01665J
Citation: Analyst, 2013,138, 7331-7340
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    Raman database of amino acids solutions: a critical study of Extended Multiplicative Signal Correction

    P. Candeloro, E. Grande, R. Raimondo, D. Di Mascolo, F. Gentile, M. L. Coluccio, G. Perozziello, N. Malara, M. Francardi and E. Di Fabrizio, Analyst, 2013, 138, 7331
    DOI: 10.1039/C3AN01665J

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