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A novel approach using ATR-FTIR spectroscopy and chemometric analysis to distinguish male and female human hair samples

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43924784" target="_blank" >RIV/62156489:43110/24:43924784 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/s00114-024-01896-7" target="_blank" >https://doi.org/10.1007/s00114-024-01896-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00114-024-01896-7" target="_blank" >10.1007/s00114-024-01896-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A novel approach using ATR-FTIR spectroscopy and chemometric analysis to distinguish male and female human hair samples

  • Original language description

    This article presents an attempt to discriminate between human male and female hair samples using a single strand of scalp hair. The methodology involves the non-destructive application of ATR-FTIR spectroscopy coupled with chemometric analysis. A total of 96 hair samples, evenly distributed between 48 male and 48 female volunteers from India, were collected. Spectral analysis revealed subtle differences between the two groups, and reliance on visual interpretation might introduce biasness. To avoid subjective biases, chemometric techniques such as principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA) were employed for enhanced data visualization and separation. PCA results revealed that the first 10 principal components accounted for 93% of the total variance, with three significant PCs. The PLS-DA model demonstrated a remarkable sensitivity and specificity in sex discrimination from hair samples, establishing its efficacy as a robust classification tool. Furthermore, the proposed model exhibited 100% accuracy in predicting unknown samples, underscoring its potential applicability in real-world scenarios. These outcomes affirm the viability of our approach for non-invasive classification of human male and female hair based on single-strand scalp hair analysis.

  • 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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

    Science of Nature

  • ISSN

    0028-1042

  • e-ISSN

    1432-1904

  • Volume of the periodical

    111

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    10

  • Pages from-to

    9

  • UT code for WoS article

    001159909400001

  • EID of the result in the Scopus database

    2-s2.0-85184789289