Advancing non-destructive sex determination on human dental enamel using Raman spectroscopy

Biological sex determination is essential for analyzing human skeletal remains in archaeology, anthropology, and forensic science. This study investigates whether Raman spectroscopy of intact human dental enamel can be used as a non-destructive method for sex estimation. Orthogonal partial least squares discriminant analysis (OPLS-DA) and logistic regression identified sex-specific spectral characteristics in 88 human teeth from 47 modern individuals (26 females, 21 males). The OPLS-DA model showed excellent performance, with R<sup>2</sup>Y(cum) = 0.943 and Q<sup>2</sup>Y(cum) = 0.895. Raman shift wavenumbers at 373, 1182, and 1600 cm<sup>-1</sup> were identified as the most reliable discriminators and included in a final logistic regression model. This model achieved an area under the receiver operating characteristic curve (ROC-AUC) of 0.98, a sensitivity of 0.87, and a specificity of 0.94. Our results indicate that Raman spectroscopy can effectively differentiate male and female human dental enamel based on subtle differences in molecular composition-possibly linked to residual differences between AMELX and AMELY-derived proteins. This non-destructive, rapid, and reliable method offers a valuable alternative for sex determination in contexts where chemical analysis is impractical or sample preservation is critical and holds promise for future applications in archaeological and forensic material.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-03
DOI
https://doi.org/10.1038/s41598-025-00407-6
Citations
2
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
3.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancing non-destructive sex determination on human dental enamel using Raman spectroscopy

Patrick Eppenberger, Frank Rühli, Akilah Wood, Raphael Hug
2 citations
Scientific Reports
Spectroscopy Techniques in Biomedical and Chemical Research
3.27
article

Advancing non-destructive sex determination on human dental enamel using Raman spectroscopy

Patrick Eppenberger, Frank Rühli, Akilah Wood, Raphael Hug
article en
2 citations

Abstract

Biological sex determination is essential for analyzing human skeletal remains in archaeology, anthropology, and forensic science. This study investigates whether Raman spectroscopy of intact human dental enamel can be used as a non-destructive method for sex estimation. Orthogonal partial least squares discriminant analysis (OPLS-DA) and logistic regression identified sex-specific spectral characteristics in 88 human teeth from 47 modern individuals (26 females, 21 males). The OPLS-DA model showed excellent performance, with R<sup>2</sup>Y(cum) = 0.943 and Q<sup>2</sup>Y(cum) = 0.895. Raman shift wavenumbers at 373, 1182, and 1600 cm<sup>-1</sup> were identified as the most reliable discriminators and included in a final logistic regression model. This model achieved an area under the receiver operating characteristic curve (ROC-AUC) of 0.98, a sensitivity of 0.87, and a specificity of 0.94. Our results indicate that Raman spectroscopy can effectively differentiate male and female human dental enamel based on subtle differences in molecular composition-possibly linked to residual differences between AMELX and AMELY-derived proteins. This non-destructive, rapid, and reliable method offers a valuable alternative for sex determination in contexts where chemical analysis is impractical or sample preservation is critical and holds promise for future applications in archaeological and forensic material.

Scientific ReportsVol. 15(1)
University of Zurich (CH)
Gender equality
Openalex Percentile: Top 8%
Spectroscopy Techniques in Biomedical and Chemical Research
3.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advancing non-destructive sex determination on human dental enamel using Raman spectroscopy — Patrick Eppenberger, Frank Rühli, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS