Identification of bacteria in mixed infection from urinary tract of patient's samples using Raman analysis of dried droplets
Kateřina Aubrechtová Dragounová, Oleg Ryabchykov, Daniel Steinbach, Vincent Recla, Nora Lindig, María José González Vázquez, Susan Foller, Michael Bauer, Thomas Bocklitz, Jürgen Popp, Jürgen Rödel, Ute Neugebauer
Abstract
, which reduced prediction accuracy. Spectral differences were observed between isolates grown on standard growth medium and bacteria of the same strain when characterized directly from the patient. Thus, improvement of the classification accuracy is expected with a larger data base containing also bacteria measured directly from the urine sample.
Topics & Concepts
Raman spectroscopyUrinary systemBacteriaMicrobiologyRaman microspectroscopyIdentification (biology)ChromatographyChemistryMedicineBiologyInternal medicineOpticsPhysicsEcologyGeneticsSpectroscopy Techniques in Biomedical and Chemical ResearchBacterial Identification and Susceptibility TestingListeria monocytogenes in Food Safety