Human Skin Scent: Class and Individual Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F22%3A43924417" target="_blank" >RIV/60461373:22340/22:43924417 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Human Skin Scent: Class and Individual Identification
Original language description
In this work, a total of 504 human scent samples of 40 people (20 women and 20 men) were taken and analyzed using comprehensive two-dimensional gas chromatography with mass spectrometry (GC×GC-MS). The aim of this work was to find trends in the representation of monitored compounds in human scents in connection with sex and to create classification models, which were able to correctly assign sex with the greatest possible probability (class identification). A total of 70 pre-selected compounds were monitored. Various multi-dimensional methods were used for this purpose, namely principal component analysis (PCA), orthogonal partial least squares discrimination analysis (OPLS-DA), quadratic discriminant analysis (QDA), and the supporting vector machine (SVM). In addition, classification models were subsequently sought, which would be able to assign the scent sample to a specific volunteer with the greatest possible accuracy (individual identification). Models based on SVM with a polynomial kernel function were ranked best. Within the framework of sex differentiation, the model created from all (504) measured scent samples achieved a validation accuracy of over 91%, and the SVM model for individual identification achieved a validation accuracy of over 73 %
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
<a href="/en/project/VJ01030005" target="_blank" >VJ01030005: The formation of an international community in the field of “Forensic Olfactronics”</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů