Surface enhanced Raman spectroscopy and machine learning for identification of beta-lactam antibiotics resistance gene fragment in bacterial plasmid.

Journal: Analytica chimica acta
PMID: 39396322

Abstract

BACKGROUND: Antibiotic resistance stands as a critical medical concern, notably evident in commonly prescribed beta-lactam antibiotics. The imperative need for expeditious and precise early detection methods underscores their role in facilitating timely intervention, curbing the propagation of antibiotic resistance, and enhancing patient outcomes.

Authors

  • Anastasia Skvortsova
    Department of Solid State Engineering, University of Chemistry and Technology Prague, Technická 5, 166 28, Prague 6, Czech Republic.
  • Andrii Trelin
    Department of Solid State Engineering, University of Chemistry and Technology Prague, Technická 5, 166 28, Prague 6, Czech Republic.
  • Olga Guselnikova
    Department of Solid State Engineering, University of Chemistry and Technology Prague, Technická 5, 166 28, Prague 6, Czech Republic; Research School of Chemistry and Applied Biomedical Sciences, Tomsk Polytechnic University, Russian Federation. Electronic address: guselnio@vscht.cz.
  • Alexandra Pershina
    Siberian State Medical University, 2, Moskovsky Trakt, 634050, Tomsk, Russia; Research School of Chemistry and Applied Biomedical Sciences, Tomsk Polytechnic University, Russian Federation.
  • Barbora Vokata
    Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Technická 5, 166 28, Prague 6, Czech Republic.
  • Vaclav Svorcik
    Department of Solid State Engineering, University of Chemistry and Technology, 16628 Prague, Czech Republic.
  • Oleksiy Lyutakov
    Department of Solid State Engineering, University of Chemistry and Technology, 16628 Prague, Czech Republic.

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