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Combination of laser-induced breakdown spectroscopy and Raman spectroscopy for multivariate classification of bacteria

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F18%3A00489532" target="_blank" >RIV/68081731:_____/18:00489532 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26620/17:PU125772 RIV/00216224:14110/18:00102429

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.sab.2017.11.004" target="_blank" >http://dx.doi.org/10.1016/j.sab.2017.11.004</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.sab.2017.11.004" target="_blank" >10.1016/j.sab.2017.11.004</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Combination of laser-induced breakdown spectroscopy and Raman spectroscopy for multivariate classification of bacteria

  • Original language description

    In this work, we investigate the impact of data provided by complementary laser-based spectroscopic methods on multivariate classification accuracy. Discrimination and classification of five Staphylococcus bacterial strains and one strain of Escherichia coli is presented. The technique that we used for measurements is a combination of Raman spectroscopy and Laser-Induced Breakdown Spectroscopy (LIBS). Obtained spectroscopic data were then processed using Multivariate Data Analysis algorithms. Principal Components Analysis (PCA) was selected as the most suitable technique for visualization of bacterial strains data. To classify the bacterial strains, we used Neural Networks, namely a supervised version of Kohonen's self-organizing maps (SOM). We were processing results in three different ways separately from LIBS measurements, from Raman measurements, and we also merged data from both mentioned methods. The three types of results were then compared.

  • 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

    10606 - Microbiology

Result continuities

  • Project

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

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Spectrochimica Acta Part B: Atomic Spectroscopy

  • ISSN

    0584-8547

  • e-ISSN

  • Volume of the periodical

    139

  • Issue of the periodical within the volume

    JAN

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    7

  • Pages from-to

    6-12

  • UT code for WoS article

    000423897000002

  • EID of the result in the Scopus database

    2-s2.0-85033551008