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Attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) analysis of human nails: Implications for age determination in forensics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F25%3A00082540" target="_blank" >RIV/00159816:_____/25:00082540 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14160/25:00140777

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/10.1111/1556-4029.15641" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/1556-4029.15641</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/1556-4029.15641" target="_blank" >10.1111/1556-4029.15641</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) analysis of human nails: Implications for age determination in forensics

  • Original language description

    A person&apos;s age estimation from biological evidence is a crucial aspect of forensic investigations, aiding in victim identification and criminal profiling. In this study, we present a novel approach of utilizing Attenuated Total Reflection Fourier Transform Infrared (ATR FT-IR) spectroscopy to predict the age of donors based on nail samples. A diverse dataset comprising nails from donors spanning different age groups was analyzed using ATR FT-IR, with subsequent multivariate analysis techniques used for age prediction. The developed partial least squares regression (PLS-R) model demonstrated promising accuracy in age estimation, with a root mean square error of prediction (RMSEP) equal to 11.1 during external validation. Additionally, a partial least squares discriminant analysis (PLS-DA) classification model achieved high accuracy of 88% in classifying donors into younger and older age groups during external validation. This proof-of-concept study highlights the potential of ATR FT-IR spectroscopy as a non-destructive and efficient tool for age estimation in forensic investigations, offering a new approach to forensic analysis with practical implications. © 2024 American Academy of Forensic Sciences.

  • 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

    30501 - Forensic science

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    JOURNAL OF FORENSIC SCIENCES

  • ISSN

    0022-1198

  • e-ISSN

  • Volume of the periodical

    70

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    150-160

  • UT code for WoS article

    001335453300001

  • EID of the result in the Scopus database

    2-s2.0-85206183334