Summary
This laboratory study applies Fourier-transform near infrared spectroscopy to the characterisation of intact human teeth for forensic purposes. The authors demonstrate that FT-NIR can distinguish between individual sound teeth through principal component analysis and show that whilst custody bag windows introduce measurable spectral artefacts, these can be effectively corrected through spectral subtraction, enabling reliable tooth analysis in forensic contexts. The work contributes to the analytical toolkit available for forensic tooth identification and examination.
UK applicability
The findings are potentially applicable to UK forensic pathology and dental identification practices, particularly where near infrared spectroscopy might be deployed as a non-destructive analytical method for tooth characterisation in legal or investigative contexts.
Key measures
Principal component analysis of FT-NIR spectral data; spectral artefact correction through spectral subtraction; discrimination between individual teeth
Outcomes reported
The study evaluated whether Fourier-transform near infrared spectroscopy could distinguish between individual intact human teeth and assess whether spectral artefacts introduced by forensic custody bags could be corrected through spectral subtraction methods.
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