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Surface-enhanced Raman spectroscopy is capable of precise differentiation between re-dyed hair samples

Scalp hairs are readily present at most crime scenes because an average person sheds around 100 hairs a day. Forensic experts analyze hair found at crime scenes to identify suspects involved in a crime. Many people color their hair on a regular basis. Therefore, confirmatory analysis of hair coloran...

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Autores principales: Higgins, Samantha, Kurouski, Dmitry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151316/
https://www.ncbi.nlm.nih.gov/pubmed/37127736
http://dx.doi.org/10.1038/s41598-023-34398-z
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author Higgins, Samantha
Kurouski, Dmitry
author_facet Higgins, Samantha
Kurouski, Dmitry
author_sort Higgins, Samantha
collection PubMed
description Scalp hairs are readily present at most crime scenes because an average person sheds around 100 hairs a day. Forensic experts analyze hair found at crime scenes to identify suspects involved in a crime. Many people color their hair on a regular basis. Therefore, confirmatory analysis of hair colorants can be extremely useful in forensic investigation of hair evidence. However, most currently available methods for analysis of hair colorants are invasive, destructive, or not reliable. Surface enhanced Raman spectroscopy (SERS) is a minimally invasive, fast, and highly accurate technique that can be used to identify colorants present on hair. SERS is based on 106–108 enhancement of Raman scattering from molecules present in the close proximity to noble metal nanostructures. In this study, we investigate the extent to which SERS can be used to reveal coloration history of hair. We found that SERS enables nearly 100% identification of dyes of different color if those were applied on hair in the sequential order. The same accuracy was observed for colorants of different brand and type. Furthermore, SERS was capable of revealing the order in which two colorants were applied on hair. Finally, we demonstrated that SERS could be used to reveal hair coloration history if two randomly selected dyes of different color, brand and type were used to color the hair. These findings facilitate the need for forensic experts to account for hair that has been redyed and can be identified against a library of the same colorant combinations.
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spelling pubmed-101513162023-05-03 Surface-enhanced Raman spectroscopy is capable of precise differentiation between re-dyed hair samples Higgins, Samantha Kurouski, Dmitry Sci Rep Article Scalp hairs are readily present at most crime scenes because an average person sheds around 100 hairs a day. Forensic experts analyze hair found at crime scenes to identify suspects involved in a crime. Many people color their hair on a regular basis. Therefore, confirmatory analysis of hair colorants can be extremely useful in forensic investigation of hair evidence. However, most currently available methods for analysis of hair colorants are invasive, destructive, or not reliable. Surface enhanced Raman spectroscopy (SERS) is a minimally invasive, fast, and highly accurate technique that can be used to identify colorants present on hair. SERS is based on 106–108 enhancement of Raman scattering from molecules present in the close proximity to noble metal nanostructures. In this study, we investigate the extent to which SERS can be used to reveal coloration history of hair. We found that SERS enables nearly 100% identification of dyes of different color if those were applied on hair in the sequential order. The same accuracy was observed for colorants of different brand and type. Furthermore, SERS was capable of revealing the order in which two colorants were applied on hair. Finally, we demonstrated that SERS could be used to reveal hair coloration history if two randomly selected dyes of different color, brand and type were used to color the hair. These findings facilitate the need for forensic experts to account for hair that has been redyed and can be identified against a library of the same colorant combinations. Nature Publishing Group UK 2023-05-01 /pmc/articles/PMC10151316/ /pubmed/37127736 http://dx.doi.org/10.1038/s41598-023-34398-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Higgins, Samantha
Kurouski, Dmitry
Surface-enhanced Raman spectroscopy is capable of precise differentiation between re-dyed hair samples
title Surface-enhanced Raman spectroscopy is capable of precise differentiation between re-dyed hair samples
title_full Surface-enhanced Raman spectroscopy is capable of precise differentiation between re-dyed hair samples
title_fullStr Surface-enhanced Raman spectroscopy is capable of precise differentiation between re-dyed hair samples
title_full_unstemmed Surface-enhanced Raman spectroscopy is capable of precise differentiation between re-dyed hair samples
title_short Surface-enhanced Raman spectroscopy is capable of precise differentiation between re-dyed hair samples
title_sort surface-enhanced raman spectroscopy is capable of precise differentiation between re-dyed hair samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151316/
https://www.ncbi.nlm.nih.gov/pubmed/37127736
http://dx.doi.org/10.1038/s41598-023-34398-z
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