ArticleMolecules (Basel, Switzerland)2021
Possibility of Human Gender Recognition Using Raman Spectra of Teeth.
Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 23 citations in OpenAlex.
- Digital odontometric analysis for sex estimation in Egyptian adolescents.BMC oral health · 2026Article
- New equation for estimation of dental age by tooth cementum thickness in adolescents and adults: forensic aspects.International journal of legal medicine · 2024Article
- Differences in whole blood before and after hemodialysis session of subjects with chronic kidney disease measured by Raman spectroscopy.Lasers in medical science · 2024Article
- Artificial neural network model for predicting sex using dental and orthodontic measurements.Korean journal of orthodontics · 2023Article
- Cranial and Odontological Methods for Sex Estimation-A Scoping Review.Medicina (Kaunas, Lithuania) · 2022Article
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10 authors at 2 institutions in 1 country.
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Abstract
Gender determination of the human remains can be very challenging, especially in the case of incomplete ones. Herein, we report a proof-of-concept experiment where the possibility of gender recognition using Raman spectroscopy of teeth is investigated. Raman spectra were recorded from male and female molars and premolars on two distinct sites, tooth apex and anatomical neck. Recorded spectra were sorted into suitable datasets and initially analyzed with principal component analysis, which showed a distinction between spectra of male and female teeth. Then, reduced datasets with scores of the first 20 principal components were formed and two classification algorithms, support vector machine and artificial neural networks, were applied to form classification models for gender recognition. The obtained results showed that gender recognition with Raman spectra of teeth is possible but strongly depends both on the tooth type and spectrum recording site. The difference in classification accuracy between different tooth types and recording sites are discussed in terms of the molecular structure difference caused by the influence of masticatory loading or gender-dependent life events.
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