Coupling solid-phase microextraction and laser desorption ionization for rapid identification of biological material

2012 ◽  
Vol 26 (7) ◽  
pp. 853-862 ◽  
Author(s):  
Sirantha Perera ◽  
Alain Berthod ◽  
Edra Dodbiba ◽  
Daniel W. Armstrong
Keyword(s):  
Biological Material ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Laser Desorption ◽  
Rapid Identification ◽  
Laser Desorption Ionization ◽  
Desorption Ionization

scholarly journals Application of Whole-Cell Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Rapid Identification and Clustering Analysis of Pantoea Species

2010 ◽  
Vol 76 (13) ◽  
pp. 4497-4509 ◽  
Author(s):  
Fabio Rezzonico ◽  
Guido Vogel ◽  
Brion Duffy ◽  
Mauro Tonolla
Keyword(s):  
Laser Desorption ◽  
Rapid Identification ◽  
Laser Desorption Ionization ◽  
Ionization Time ◽  
Desorption Ionization ◽  
Flight Mass Spectrometry ◽  
Cell Matrix ◽  
Tof Ms ◽  
Matrix Assisted Laser ◽  
Matrix Assisted Laser Desorption

ABSTRACT Pantoea agglomerans is an ecologically diverse taxon that includes commercially important plant-beneficial strains and opportunistic clinical isolates. Standard biochemical identification methods in diagnostic laboratories were repeatedly shown to run into false-positive identifications of P. agglomerans, a fact which is also reflected by the high number of 16S rRNA gene sequences in public databases that are incorrectly assigned to this species. More reliable methods for rapid identification are required to ascertain the prevalence of this species in clinical samples and to evaluate the biosafety of beneficial isolates. Whole-cell matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) methods and reference spectra (SuperSpectrum) were developed for accurate identification of P. agglomerans and related bacteria and used to detect differences in the protein profile within variants of the same strain, including a ribosomal point mutation conferring streptomycin resistance. MALDI-TOF MS-based clustering was shown to generally agree with classification based on gyrB sequencing, allowing rapid and reliable identification at the species level.

Sign in / Sign up

Export Citation Format

Share Document