2005
DOI: 10.1021/jf040458a
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Use of Fatty Acid Profiles to Identify Food-Borne Bacterial Pathogens and Aerobic Endospore-Forming Bacilli

Abstract: Capillary gas chromatography (GC) with flame ionization detection was used to determine the cellular fatty acid profiles of various food-borne microbial pathogens and to compare the fatty acid profiles of spores and vegetative cells of the same endospore-forming bacilli. Fifteen bacteria, representing eight genera (Staphylococcus, Listeria, Bacillus, Yersinia, Salmonella, Shigella, Escherichia, and Vibrio) and 11 species were used to compare the extracted fatty acid methyl esters (FAMEs). Endospore-forming bac… Show more

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Cited by 68 publications
(46 citation statements)
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“…The component C 17 : 0 was found in three members of the genus Yersinia tested in this study and has been reported for the genus Yersinia and other genera within the family Enterobacteriaceae by other authors (Jantzen & Lassen, 1980;Kämpfer et al, 2005;Whittaker et al, 2005;Madhaiyan et al, 2010;Rameshkumar et al, 2010).…”
supporting
confidence: 89%
See 1 more Smart Citation
“…The component C 17 : 0 was found in three members of the genus Yersinia tested in this study and has been reported for the genus Yersinia and other genera within the family Enterobacteriaceae by other authors (Jantzen & Lassen, 1980;Kämpfer et al, 2005;Whittaker et al, 2005;Madhaiyan et al, 2010;Rameshkumar et al, 2010).…”
supporting
confidence: 89%
“…As far as we are aware, all published fatty acid compositions of members of the genus Yersinia show percentages of cyclic C 17 : 0 higher than 10 % (Jantzen & Lassen, 1980;Whittaker et al, 2005;Tan et al, 2010;Nagarajan et al, 2005). The compositions of the isolate and B. aquatica DSM 5075…”
mentioning
confidence: 92%
“…GC-FID analysis of chemical components of bacterial cells has provided useful information for rapid detection and identification of bacteria in clinical and diagnostic bacteriology laboratories and currently has increased significance for both food safety and security (Daneshvar, Douglas, & Weyant, 2001;Whittaker, 2009;Whittaker, Day, Curtis, & Fry, 2007;Whittaker et al, 2005).…”
Section: Resultsmentioning
confidence: 99%
“…FAME profiles are complex due to the high number of variables and the fact that the total dissimilarity among profiles may arise from unequal contributions from all the variables. Typically, data from every detected FAME marker are used to generate multivariate distance matrices (47) or functions representing linear combinations of the original variables (16,57), which are used to analyze dissimilarities among all profiles. For this study, FAME data were first analyzed in a similar manner by incorporating the relative proportion of every FAME marker identified by GC into the multivariate distances that were calculated for spore profiles.…”
Section: Sporulation Yields In Different Medium Formulations Allmentioning
confidence: 99%