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LOC-SERS : A Promising Closed System for the Identification of Mycobacteria

Titelangaben

Mühlig, Anna ; Bocklitz, Thomas ; Labugger, Ines ; Dees, Stefan ; Henk, Sandra ; Richter, Elvira ; Andres, Sönke ; Merker, Matthias ; Stöckel, Stephan ; Weber, Karina ; Cialla-May, Dana ; Popp, Jürgen:
LOC-SERS : A Promising Closed System for the Identification of Mycobacteria.
In: Analytical Chemistry. Bd. 88 (2016) Heft 16 . - S. 7998-8004.
ISSN 1520-6882
DOI: https://doi.org/10.1021/acs.analchem.6b01152

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

A closed droplet based lab-on-a-chip (LOC) device has been developed for the differentiation of six species of mycobacteria, i.e., both Mycobacterium tuberculosis complex (MTC) and nontuberculous mycobacteria (NTM), using surface-enhanced Raman spectroscopy (SERS). The combination of a fast and simple bead-beating module for the disruption of the bacterial cell with the LOC-SERS device enables the application of an easy and reliable system for bacteria discrimination. Without extraction or further treatment of the sample, the obtained SERS spectra are dominated by the cell-wall component mycolic acid. For the differentiation, a robust data set was recorded using a droplet based LOC-SERS device. Thus, more than 2100 individual SERS spectra of the bacteria suspension were obtained in 1 h. The differentiation of bacteria using LOC-SERS provides helpful information for physicians to define the conditions for the treatment of individual patients.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 530 Physik
Eingestellt am: 15 Mai 2023 13:52
Letzte Änderung: 15 Mai 2023 13:52
URI: https://eref.uni-bayreuth.de/id/eprint/76345