TY - JOUR
T1 - Raman database of amino acids solutions: A critical study of Extended Multiplicative Signal Correction
AU - Candeloro, Patrizio
AU - Grande, Elisabetta
AU - Raimondo, Raffaella
AU - Di Mascolo, Daniele
AU - Gentile, Francesco T.
AU - Coluccio, Maria Laura
AU - Perozziello, Gerardo
AU - Malara, Natalia Maria
AU - Francardi, Marco
AU - Di Fabrizio, Enzo M.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The authors gratefully acknowledge Dr Camillo Palmieri for providing the peptides IBTK1 and IBTK2. Financial support is acknowledged from Italian-FIRB project "Rete Nazionale di Ricerca sulle Nanoscienze ItalNanoNet" (cod. RBPR05JH2P_010, CUP B41J09000110005) and from Cariplo Foundation under the project "New Frontiers in Plasmonic Nanosensing" (Grant no. 2011-0338).
PY - 2013
Y1 - 2013
N2 - 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. © 2013 The Royal Society of Chemistry.
AB - 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. © 2013 The Royal Society of Chemistry.
UR - http://hdl.handle.net/10754/562547
UR - http://xlink.rsc.org/?DOI=c3an01665j
UR - http://www.scopus.com/inward/record.url?scp=84887562049&partnerID=8YFLogxK
U2 - 10.1039/c3an01665j
DO - 10.1039/c3an01665j
M3 - Article
C2 - 24153318
SN - 0003-2654
VL - 138
SP - 7331
JO - Analyst
JF - Analyst
IS - 24
ER -