Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

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Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Liu, SY; Hu, QS; Li, C; Zhang, FR; Gu, HJ; Wang, XR; Li, S; Xue, L; Madl, T; Zhang, Y; Zhou, L.
Wide-Range, Rapid, and Specific Identification of Pathogenic Bacteria by Surface-Enhanced Raman Spectroscopy
ACS SENSORS. 2021; 6(8): 2911-2919. Doi: 10.1021/acssensors.1c00641 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

Führende Autor*innen der Med Uni Graz: Madl Tobias
Co-Autor*innen der Med Uni Graz: Zhang Fangrong
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Abstract:: Sensitive, selective, rapid, and label-free detection of pathogenic bacteria with high generality is of great importance for clinical diagnosis, biosecurity, and public health. However, most traditional approaches, such as microbial cultures, are time-consuming and laborious. To circumvent these problems, surface-enhanced Raman spectroscopy (SERS) appears to be a powerful technique to characterize bacteria at the single-cell level. Here, by SERS, we report a strategy for the rapid and specific detection of 22 strains of common pathogenic bacteria. A novel and high-quality silver nanorod SERS substrate, prepared by the facile interface self-assembly method, was utilized to acquire the chemical fingerprint information of pathogens with improved sensitivity. We also applied the mathematical analysis methods, such as the t-test and receiver operating characteristic method, to determine the Raman features of these 22 strains and demonstrate the clear identification of most bacteria (20 strains) from the rest and also the reliability of this SERS sensor. This rapid and specific strategy for wide-range bacterial detection offers significant advantages over existing approaches and sets the base for automated and onsite detection of pathogenic bacteria in a complex real-life situation.
Find related publications in this database (Keywords): AgNR substrate; bacterial diagnostics; label-free; pathogenic bacteria; receiver operating characteristic analysis; surface-enhanced Raman spectroscopy (SERS)