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Raman spectroscopic identification of Mycobacterium tuberculosis
Author(s) -
Stöckel Stephan,
Meisel Susann,
Lorenz Björn,
Kloß Sandra,
Henk Sandra,
Dees Stefan,
Richter Elvira,
Andres Sönke,
Merker Matthias,
Labugger Ines,
Rösch Petra,
Popp Jürgen
Publication year - 2017
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201600174
Subject(s) - tuberculosis , raman spectroscopy , nontuberculous mycobacteria , mycobacterium tuberculosis , raman microspectroscopy , mycobacterium , microbiology and biotechnology , mycobacterium tuberculosis complex , identification (biology) , biology , computational biology , medicine , pathology , optics , physics , botany
In this study, Raman microspectroscopy has been utilized to identify mycobacteria to the species level. Because of the slow growth of mycobacteria, the per se cultivation‐independent Raman microspectroscopy emerges as a perfect tool for a rapid on‐the‐spot mycobacterial diagnostic test. Special focus was laid upon the identification of Mycobacterium tuberculosis complex (MTC) strains, as the main causative agent of pulmonary tuberculosis worldwide, and the differentiation between pathogenic and commensal nontuberculous mycobacteria (NTM). Overall the proposed model considers 26 different mycobacteria species as well as antibiotic susceptible and resistant strains. More than 8800 Raman spectra of single bacterial cells constituted a spectral library, which was the foundation for a two‐level classification system including three support vector machines. Our model allowed the discrimination of MTC samples in an independent validation dataset with an accuracy of 94% and could serve as a basis to further improve Raman microscopy as a first‐line diagnostic point‐of‐care tool for the confirmation of tuberculosis disease.