title: Methods for extracting biochemical information from bacterial Raman spectra: focus on a group of structurally similar biomolecules--fatty acids.
abstract: In this paper we explore the possibilities of Raman spectroscopy in order to deduce information on the fatty acid composition of bacterial cells. Therefore, representative strains of two bacterial taxa were each cultured in different conditions and in parallel analyzed by Raman spectroscopy and gaschromatographic FAME analysis. Raman spectra of pure fatty acids were recorded and used as reference spectra. The culturing conditions for each strain could be easily distinguished by the fatty acid information retrieved from bacterial Raman spectra. Chemometric techniques such as EMSC and PCA allowed to extract information about groups of fatty acids, that was consistent with the results from FAME analysis. Although the information retrieved from Raman spectroscopy is not as refined as that from FAME analysis, the presented methods could be useful to obtain basic information on the fatty acid present in bacteria when performing Raman spectroscopic analysis for fast whole cell profiling, which provides information for different types of cell components (fatty acids, amino acids, primary metabolites, etc.).
authors.affiliation: Ghent University, Department of Analytical Chemistry, Proeftuinstraat 86, B-9000 Ghent, Belgium.
authors.forename: Joke
authors.initials: J
authors.lastname: De Gelder
authors.forename: Kris
authors.initials: K
authors.lastname: De Gussem
authors.forename: Peter
authors.initials: P
authors.lastname: Vandenabeele
authors.forename: Marc
authors.initials: M
authors.lastname: Vancanneyt
authors.forename: Paul
authors.initials: P
authors.lastname: De Vos
authors.forename: Luc
authors.initials: L
authors.lastname: Moens
mesh_terms: D001407:Bacillus / Q000737:chemistry*; D013293:Enterococcus faecalis / Q000737:chemistry*; D005227:Fatty Acids / Q000737:chemistry*; D013059:Spectrum Analysis, Raman / Q000379:methods*
chemical_list: D005227:Fatty Acids