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Raman spectroscopy - a tool for rapid differentiation among microbes causing urinary tract infections

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F22%3A00553555" target="_blank" >RIV/68081731:_____/22:00553555 - isvavai.cz</a>

  • Alternative codes found

    RIV/00159816:_____/22:00076328 RIV/00216224:14110/22:00125080 RIV/62157124:16170/22:43880478

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0003267021011181" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0003267021011181</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.aca.2021.339292" target="_blank" >10.1016/j.aca.2021.339292</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Raman spectroscopy - a tool for rapid differentiation among microbes causing urinary tract infections

  • Original language description

    Urinary tract infections belong to the most common infections in the world. Besides communityacquired infections, nosocomial infections pose a high risk especially for patients having indwelling catheters, undergoing urological surgeries or staying at hospital for prolonged time. They can be often complicated by antimicrobial resistance and/or biofilm formation. Therefore, a rapid diagnostic tool enabling timely identification of a causative agent and its susceptibility to antimicrobials is a need. Raman spectroscopy appears to be a suitable method that allows rapid differentiation among microbes and provides a space for further analyses, such as determination of capability of biofilm formation or antimicrobial susceptibility/resistance in tested strains. Our work here presents a possibility to differ among most common microbes causing urinary tract infections (belonging to 20 species). We tested 254 strains directly from colonies grown on Mueller-Hinton agar plates. The results show that it is possible to distinguish among the tested species using Raman spectroscopy, which proves its great potential for future use in clinical diagnostics. Moreover, we present here a pilot study of a real-time analysis and identification (in less than 10 min) of single microbial cells directly in urine employing optical tweezers combined with Raman spectroscopy.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10306 - Optics (including laser optics and quantum optics)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Analytica Chimica Acta

  • ISSN

    0003-2670

  • e-ISSN

    1873-4324

  • Volume of the periodical

    1191

  • Issue of the periodical within the volume

    25 January

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    10

  • Pages from-to

    339292

  • UT code for WoS article

    000744469700002

  • EID of the result in the Scopus database

    2-s2.0-85120916888