Strain identification of the category B agent Coxiella burnetii by DART TOF-MS and multivariate pattern recognition

ANYL 320

Carrie Y. Pierce, CYoung@cdc.gov1, John R. Barr, jbb0@cdc.gov1, Adrian R. Woolfitt, AWoolfitt@cdc.gov1, Hercules Moura, HMoura@cdc.gov1, Herbert A. Thompson, HAThompson@cdc.gov2, Robert F. Massung, RMassung@cdc.gov2, Robert B. Cody, cody@jeol.com3, and Facundo M. Fernandez4. (1) National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Highway, MS F-47, Atlanta, GA 30341, (2) National Center for Infectious Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road, MS G-13, Atlanta, GA 30333, (3) JEOL USA, Inc, 11 Dearborn Road, Peabody, MA 01960, (4) School of Chemistry and Biochemistry, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA 30332
Direct analysis in real time (DART) is a versatile, new ionization source that allows direct detection of chemicals on a variety of surfaces without requiring sample preparation. In this study DART, coupled to a TOF-MS, was used for the detection and differentiation of bacteria. Our approach capitalized on the ability of TOF-MS to provide improved selectivity through exact mass measurements. Three separate Coxiella burnetii strains (Nine Mile I, Nine Mile II, RSA 514) were analyzed by direct in-situ thermal hydrolysis, methylation, and ionization of the bacterial membrane fatty acids to generate the corresponding fatty acid methyl esters (FAMEs). For each isolate, a data set was generated from three replicates prepared on two different days. Results show that FAME intensity profiles are unique for each strain. In summary, FAME analysis by DART TOF-MS holds promise as a rapid and sensitive procedure for bacterial identification.