The effects of sun exposure on colorant identification of permanently and semi-permanently dyed hair.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
07 02 2023
Historique:
received: 06 10 2022
accepted: 31 01 2023
entrez: 7 2 2023
pubmed: 8 2 2023
medline: 10 2 2023
Statut: epublish

Résumé

During bloating and active decay, human remains begin to deform and warp their physical identity. After the skin and muscles loosen and detach from their skeletal structuration, everything but bones, teeth, and hair will fully disintegrate into the soil that surrounds the body. Nearly half of people in the world dye their hair with a variety of permanent and semi-permanent colorants. Expanding upon this, we hypothesized that confirmatory analysis of hair colorants can be used to facilitate and advance forensic analysis of human remains. A growing body of evidence suggests that hair colorants can be identified directly on hair using surface-enhanced Raman spectroscopy (SERS). In this study, we investigate the extent to which SERS can be used to detect black and blue permanent and semi-permanent dyes on hair exposed to sunlight. Our results showed that although substantial photodegradation of all dyes was observed by week 7, SERS enabled highly accurate detection and identification of hair colorants during all 10 weeks of hair exposure to the sunlight with on average 99.2% accuracy. We also found that SERS could be used to predict fading rates of hair colorants. This information can shed light on the exposure of human remains to the exterior environment.

Identifiants

pubmed: 36750621
doi: 10.1038/s41598-023-29221-8
pii: 10.1038/s41598-023-29221-8
pmc: PMC9905578
doi:

Substances chimiques

Hair Dyes 0

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2168

Informations de copyright

© 2023. The Author(s).

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Auteurs

Aidan Holman (A)

Department of Entomology, Texas A&M University, College Station, TX, 77843, USA.
Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA.

Dmitry Kurouski (D)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA. dkurouski@tamu.edu.
Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA. dkurouski@tamu.edu.
Institute for Advancing Health through Agriculture, College Station, TX, 77843, USA. dkurouski@tamu.edu.

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Classifications MeSH