Repeatability and pattern recognition of bacterial fatty acid profiles generated by direct mass spectrometric analysis of in situ thermal hydrolysis/methylation of whole cells

Talanta

Volumn 59, Issue 3, 2003, Pages 577-589

  Xu, Ming ^a   Voorhees, Kent J ^a   Hadfield, Ted L ^b  

^a Department of Geology and Geological Engineering   (United States)

^b ARMED FORCES INSTITUTE OF PATHOLOGY   (United States)

Author keywords

Artificial neural network; Bacteria; Biomarker; Chemical ionization; FAME; Fatty acid; Ion trap; Multivariate analysis; Pathogens; Pattern recognition

Indexed keywords

BACTERIA; CELLS; ESTERS; HYDROLYSIS; MASS SPECTROMETRY; NEURAL NETWORKS; PATTERN RECOGNITION;

BACTERIAL FATTY ACIDS;

FATTY ACIDS;

FATTY ACID; FATTY ACID ESTER;

ANALYTIC METHOD; ARTICLE; BACILLUS ANTHRACIS; BACTERIUM DETECTION; BACTERIUM IDENTIFICATION; BRUCELLA MELITENSIS; FRANCISELLA TULARENSIS; HYDROLYSIS; MASS SPECTROMETRY; METHYLATION; NERVE CELL NETWORK; NONHUMAN; REPRODUCIBILITY; VIBRIO CHOLERAE; YERSINIA PESTIS;

EID: 0037372736     PISSN: 00399140     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0039-9140(02)00566-0     Document Type: Article

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