Effects of crime scene contaminants on surface-enhanced Raman analysis of hair.
PLS-DA
SERS
colorants
contaminants
hair
partial least-squares discriminant analysis
surface-enhanced Raman spectroscopy
Journal
Journal of forensic sciences
ISSN: 1556-4029
Titre abrégé: J Forensic Sci
Pays: United States
ID NLM: 0375370
Informations de publication
Date de publication:
Jan 2023
Jan 2023
Historique:
revised:
19
10
2022
received:
14
08
2022
accepted:
21
10
2022
pubmed:
2
11
2022
medline:
31
12
2022
entrez:
1
11
2022
Statut:
ppublish
Résumé
Forensic analysis of hair is important as hair is one of the most commonly examined forms of trace evidence found at crime scenes. A growing body of evidence suggests that surface-enhanced Raman spectroscopy (SERS), a label-free and non-destructive analytical technique, can be used to detect and identify artificial colorants present on hair. However, hair collected at crime scenes is often contaminated by substances of biological and non-biological origin present at such locations. In this study, we investigate the extent to which four contaminants, saliva, blood, dirt, and bleach can alter the accuracy of SERS-based detection and identification of both permanent and semi-permanent colorants present on hair. Our findings show that saliva and dirt reduce the intensity of the colorants' signals but do not obscure their detection and identification. At the same time, an exposure of the colored hair to bleach or the presence of blood eliminates SERS-based analysis of artificial dyes present on such samples. We identified the procedure that can be used to remove blood contamination, which, in turn, enables identification of the hair colorants on such pre-cleaned samples. However, bleach treatment irreversibly eliminates SERS-based detection of artificial colorants on hair. These findings expand our understandings about the potential of SERS in forensic investigation of colorants on trace hair evidence.
Identifiants
pubmed: 36317752
doi: 10.1111/1556-4029.15165
doi:
Substances chimiques
Hair Dyes
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
113-118Subventions
Organisme : National Institute of Justice
ID : 2020-90663-TX-DU
Informations de copyright
© 2022 American Academy of Forensic Sciences.
Références
Oien CT. Forensic hair comparison: background information for interpretation. Forensic Sci Commun. 2009;11(2):228197.
National Research Council. Strengthening forensic science in the United States: a path forward. Washington, DC: National Academies Press; 2009.
Cates P, Dominguez I, Pierce E, Kortan M. FBI testimony on microscopic hair analysis contained errors in at least 90 percent of cases in ongoing review. FBI Press Release. 2015 Apr 20 [cited 21 Oct 2022]. https://www.fbi.gov/news/press-releases/press-releases/fbi-testimony-on-microscopic-hair-analysis-contained-errors-in-at-least-90-percent-of-cases-in-ongoing-review
Pośpiech E, Chen Y, Kukla-Bartoszek M, Breslin K, Aliferi A, Andersen JD, et al. Towards broadening forensic DNA phenotyping beyond pigmentation: Improving the prediction of head hair shape from DNA. Forensic Sci Int Genet. 2018;37:241-51. https://doi.org/10.1016/j.fsigen.2018.08.017
Jakobsson G, Kronstrand R. Segmental analysis of amphetamines in hair using a sensitive UHPLC-MS/MS method. Drug Test Anal. 2013;6(suppl 1):22-9. https://doi.org/10.1002/dta.1637
Tzatzarakis MN, Barbounis EG, Kavvalakis MP, Vakonaki E, Renieri E, Vardavas AI, et al. Rapid method for the simultaneous determination of DDTs and PCBs in hair of children by headspace solid phase microextraction and gas chromatography-mass spectrometry [HSSPME/GCMS]. Drug Test Anal. 2013;6(suppl 1):85-92. https://doi.org/10.1002/dta.1631
Koskivuori J, Voutilainen R, Uusitalo L, Lehtonena M, Lakka T, Auriola S, et al. A quantitative ultra-performance liquid chromatography high-resolution mass spectrometry analysis of steroids from human scalp hair. J Pharm Biomed Anal. 2022;215:114768. https://doi.org/10.1016/j.jpba.2022.114768
Barrett JA, Siegel JA, Goodpaster JV. Forensic discrimination of dyed hair color: I. UV-visible microspectrophotometry. J Forensic Sci. 2010;55(2):323-33. https://doi.org/10.1111/j.1556-4029.2009.01306.x
Kurouski D, Van Duyne RP. In situ detection and identification of hair dyes using surface-enhanced Raman spectroscopy [SERS]. Anal Chem. 2015;87:2901-6. https://doi.org/10.1021/ac504405u
Zrimsek AB, Chiang N, Mattei M, Zaleski S, McAnally MO, Chapman CT, et al. Single-molecule chemistry with surface- and tip-enhanced Raman spectroscopy. Chem Rev. 2017;117:7583-613. https://doi.org/10.1021/acs.chemrev.6b00552
Kleinman SL, Frontiera RR, Henry AI, Dieringer JA, Van Duyne RP. Creating, characterizing, and controlling chemistry with SERS hot spots. Phys Chem Chem Phys. 2013;15:21-36. https://doi.org/10.1039/C2CP42598J
Wustholz KL, Henry AI, McMahon JM, Freeman RG, Valley N, Piotti ME, et al. Structure-activity relationships in gold nanoparticle dimers and trimers for surface-enhanced Raman spectroscopy. J Am Chem Soc. 2010;132:10903-10. https://doi.org/10.1021/ja104174m
Stiles PL, Dieringer JA, Shah NC, Van Duyne RP. Surface-enhanced Raman spectroscopy. Annu Rev Anal Chem. 2008;1:601-26. https://doi.org/10.1146/annurev.anchem.1.031207.112814
Kurouski D, Lee H, Roschangar F, Senanayake C. Surface-enhanced Raman spectroscopy: from concept to practical application. Spectroscopy. 2017;32:36-44.
Esparza I, Wang R, Kurouski D. Surface-enhanced Raman analysis of underlaying colorants on redyed hair. Anal Chem. 2019;91:7313-8. https://doi.org/10.1021/acs.analchem.9b01021
Boll MS, Doty KC, Wickenheiser R, Lednev IK. Differentiation of hair using ATR FT-IR spectroscopy: A statistical classification of dyed and non-dyed hairs. Forensic Chem. 2017;6:1-9. https://doi.org/10.1016/j.forc.2017.08.001
Contreras F, Ermolenkov A, Kurouski D. Infrared analysis of hair dyeing and bleaching history. Anal Methods. 2020;12:3741-7. https://doi.org/10.1039/D0AY01068E
He H, Han N, Ji C, Hu S, Kong Q, Ye J, et al. Identification of five types of forensic body fluids based on stepwise discriminant analysis. Forensic Sci Int Genet. 2020;48:102337. https://doi.org/10.1016/j.fsigen.2020.102337
Fikiet MA, Khandasammy SR, Mistek E, Ahmed Y, Halámková L, Bueno J, et al. Surface enhanced Raman spectroscopy: a review of recent applications in forensic science. Spectrochim Acta A Mol Biomol Spectrosc. 2018;197:255-60. https://doi.org/10.1016/j.saa.2018.02.046
Khandasammy SR, Fikiet MA, Mistek E, Ahmed Y, Halámková L, Bueno J, et al. Bloodstains, paintings, and drugs: Raman spectroscopy applications in forensic science. Forensic Chem. 2018;8:111-33. https://doi.org/10.1016/j.forc.2018.02.002
Mistek E, Fikiet MA, Khandasammy SR, ILednev IK. Toward locard's exchange principle: Recent developments in forensic trace evidence analysis. Anal Chem. 2018;91:637-54. https://doi.org/10.1021/acs.analchem.8b04704
Doty KC, Muro CK, Lednev IK. Predicting the time of the crime: Bloodstain aging estimation for up to two years. Forensic Chem. 2017;5:1-7. https://doi.org/10.1016/j.forc.2017.05.002
Doty KC, Lednev IK. Differentiating donor age groups based on Raman spectroscopy of bloodstains for forensic purposes. ACS Cent Sci. 2018;4:862-7. https://doi.org/10.1021/acscentsci.8b00198
Doty KC, Lednev IK. Differentiation of human blood from animal blood using Raman spectroscopy: A survey of forensically relevant species. Forensic Sci Int. 2018;282:204-10. https://doi.org/10.1016/j.forsciint.2017.11.033
Mohamad Asri MN, Verma R, Mahat NA, Mohd Nor NA, Mat Desa WNS, Ismaol D. Discrimination and source correspondence of black gel inks using Raman spectroscopy and chemometric analysis with UMAP and PLS-DA. Chemometr Intell Lab Syst. 2022;225:104557. https://doi.org/10.1016/j.chemolab.2022.104557
Mantinieks D, Gerostamoulos D, Wright P, Drummer O. The effectiveness of decontamination procedures used in forensic hair analysis. Forensic Sci Med Pathol. 2018;14:349-57. https://doi.org/10.1007/s12024-018-9994-6