Raman spectroscopic identification of Mycobacterium tuberculosis.

摘要: In this study, Raman microspectroscopy has been utilized to identify mycobacteria the species level. Because of slow growth mycobacteria, per se cultivation-independent emerges as a perfect tool for rapid on-the-spot mycobacterial diagnostic test. Special focus was laid upon identification Mycobacterium tuberculosis complex (MTC) strains, main causative agent pulmonary worldwide, and differentiation between pathogenic commensal nontuberculous (NTM). Overall proposed model considers 26 different well antibiotic susceptible resistant strains. More than 8800 spectra single bacterial cells constituted spectral library, which foundation two-level classification system including three support vector machines. Our allowed discrimination MTC samples in an independent validation dataset with accuracy 94% could serve basis further improve microscopy first-line point-of-care confirmation disease.