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Computerized Olfactronic Identification of Persons Using Comprehensive Two-Dimensional Gas Chromatography with Mass Spectrometry

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F24%3A43929028" target="_blank" >RIV/60461373:22340/24:43929028 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2297-8739/11/6/178" target="_blank" >https://www.mdpi.com/2297-8739/11/6/178</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/separations11060178" target="_blank" >10.3390/separations11060178</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Computerized Olfactronic Identification of Persons Using Comprehensive Two-Dimensional Gas Chromatography with Mass Spectrometry

  • Original language description

    This paper demonstrates the possibilities of the computer identification of individuals based on their digitized scent signatures using comprehensive two-dimensional gas chromatography with mass spectrometry. This identification is performed by comparing an unknown digital scent sample with digital scent signatures in a database. The olfactronic identification of persons performed by computers follows the olfactoric identification currently performed by trained dogs. Olfactoric identification is considered a subjective method, and therefore it needs to be supported by an objective olfactronic method. The results obtained in this study demonstrate the advantages of olfactronic identification. In addition, the olfactronic identification method makes it possible to compare and store in the database hundreds or even thousands of digital scent signatures based on chemical compounds from samples. A higher recognition percentage of identification is achieved when applying two differently constructed signatures. This article shows that with this approach, the comparison algorithm can reach up to 95-percent correct identification for unknown samples. This is quite a novel point and the rationale of this work. In this study, 400 scent samples from 40 volunteers (20 women and 20 men) were analyzed, where ten scent samples were taken from each person.

  • 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

    10406 - Analytical chemistry

Result continuities

  • Project

    <a href="/en/project/VJ01010123" target="_blank" >VJ01010123: Identification of the perpetrator by forensic analysis of smell and touch traces found at the crime scene</a><br>

  • Continuities

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

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Separations

  • ISSN

    2297-8739

  • e-ISSN

    2297-8739

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

  • UT code for WoS article

    001255766400001

  • EID of the result in the Scopus database

    2-s2.0-85197152092