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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
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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