title: Correlation of mass spectrometry identified bacterial biomarkers from a fielded pyrolysis-gas chromatography-ion mobility spectrometry biodetector with the microbiological gram stain classification scheme.
abstract: A pyrolysis-gas chromatography-ion mobility spectrometry (Py-GC-IMS) briefcase system has been shown to detect and classify deliberately released bioaerosols in outdoor field scenarios. The bioaerosols included Gram-positive and Gram-negative bacteria, MS-2 coliphage virus, and ovalbumin protein species. However, the origin and structural identities of the pyrolysate peaks in the GC-IMS data space, their microbiological information content, and taxonomic importance with respect to biodetection have not been determined. The present work interrogates the identities of the peaks by inserting a time-of-flight mass spectrometry system in parallel with the IMS detector through a Tee connection in the GC module. Biological substances producing ion mobility peaks from the pyrolysis of microorganisms were identified by their GC retention time, matching of their electron ionization mass spectra with authentic standards, and the National Institutes for Standards and Technology mass spectral database. Strong signals from 2-pyridinecarboxamide were identified in Bacillus samples including Bacillus anthracis, and its origin was traced to the cell wall peptidoglycan macromolecule. 3-Hydroxymyristic acid is a component of lipopolysaccharides in the cell walls of Gram-negative organisms. The Gram-negative Escherichia coli organism showed significant amounts of 3-hydroxymyristic acid derivatives and degradation products in Py-GC-MS analyses. Some of the fatty acid derivatives were observed in very low abundance in the ion mobility spectra, and the higher boiling lipid species were absent. Evidence is presented that the Py-GC-ambient temperature and pressure-IMS system generates and detects bacterial biochemical information that can serve as components of a biological classification scheme directly correlated to the Gram stain reaction in microorganism taxonomy.
authors.affiliation: Research and Technology Directorate, RDECOM, Edgewood Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010-5424, USA. apsnyder@apgea.army.mil
authors.forename: A Peter
authors.initials: AP
authors.lastname: Snyder
authors.forename: Jacek P
authors.initials: JP
authors.lastname: Dworzanski
authors.forename: Ashish
authors.initials: A
authors.lastname: Tripathi
authors.forename: Waleed M
authors.initials: WM
authors.lastname: Maswadeh
authors.forename: Charles H
authors.initials: CH
authors.lastname: Wick
mesh_terms: D015415:Biomarkers / Q000032:analysis*; D015374:Biosensing Techniques; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D006090:Gram-Negative Bacteria / Q000145:classification*; D006094:Gram-Positive Bacteria / Q000145:classification*; D015999:Multivariate Analysis
chemical_list: D015415:Biomarkers