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Surface-enhanced Raman spectroscopic identification in fingerprints based on adhesive Au nanofilm

The visualization and acquisition of information on substances within fingerprints have attracted considerable interest owing to their practical application in forensic science. There are still some challenges in the transfer and imaging of fingerprints and the extraction of residues. Here, a facile...

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Autores principales: Lin, Jieru, Zhang, Chenjie, Xu, Minmin, Yuan, Yaxian, Yao, Jianlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082110/
https://www.ncbi.nlm.nih.gov/pubmed/35539164
http://dx.doi.org/10.1039/c8ra03808b
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author Lin, Jieru
Zhang, Chenjie
Xu, Minmin
Yuan, Yaxian
Yao, Jianlin
author_facet Lin, Jieru
Zhang, Chenjie
Xu, Minmin
Yuan, Yaxian
Yao, Jianlin
author_sort Lin, Jieru
collection PubMed
description The visualization and acquisition of information on substances within fingerprints have attracted considerable interest owing to their practical application in forensic science. There are still some challenges in the transfer and imaging of fingerprints and the extraction of residues. Here, a facile approach was successfully developed for transferring and recovering the pattern of fingerprints, which is based on surface-enhanced Raman spectroscopy (SERS) and an adhesive Au nanofilm (ANF). The reproducibility of SERS effects and the adhesive quality of the ANF enabled the transfer, recovery of the pattern and extraction of chemical residues from living/latent fingerprints. The results demonstrated that the pattern of living fingerprints, including ridges, furrows and sweat pores, was recovered on the basis of SERS mapping of the vibrational band of amino acids from endogenous protein substances. The dye rhodamine 6G (R6G) was employed as a developing agent to enhance the visualization of fingerprints by SERS mapping of the band at 1360 cm(−1). Moreover, exogenous residues, such as cotinine (COT) and methylene blue (MB), were also detected by SERS. Their distribution in fingerprints was also determined, although it was not associated with the pattern of fingerprints. This indicated that the extraction process based on the adhesive ANF could be applied to transfer fingerprints from a crime scene to the laboratory for precise identification via structural information on chemical residues and the pattern image of fingerprints. It is anticipated that the adhesive ANF when combined with an ultrahigh-sensitivity SERS technique could be developed as a promising tool for the visualization of fingerprints and monitoring of trace chemical residues for crime tracking in forensic science.
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spelling pubmed-90821102022-05-09 Surface-enhanced Raman spectroscopic identification in fingerprints based on adhesive Au nanofilm Lin, Jieru Zhang, Chenjie Xu, Minmin Yuan, Yaxian Yao, Jianlin RSC Adv Chemistry The visualization and acquisition of information on substances within fingerprints have attracted considerable interest owing to their practical application in forensic science. There are still some challenges in the transfer and imaging of fingerprints and the extraction of residues. Here, a facile approach was successfully developed for transferring and recovering the pattern of fingerprints, which is based on surface-enhanced Raman spectroscopy (SERS) and an adhesive Au nanofilm (ANF). The reproducibility of SERS effects and the adhesive quality of the ANF enabled the transfer, recovery of the pattern and extraction of chemical residues from living/latent fingerprints. The results demonstrated that the pattern of living fingerprints, including ridges, furrows and sweat pores, was recovered on the basis of SERS mapping of the vibrational band of amino acids from endogenous protein substances. The dye rhodamine 6G (R6G) was employed as a developing agent to enhance the visualization of fingerprints by SERS mapping of the band at 1360 cm(−1). Moreover, exogenous residues, such as cotinine (COT) and methylene blue (MB), were also detected by SERS. Their distribution in fingerprints was also determined, although it was not associated with the pattern of fingerprints. This indicated that the extraction process based on the adhesive ANF could be applied to transfer fingerprints from a crime scene to the laboratory for precise identification via structural information on chemical residues and the pattern image of fingerprints. It is anticipated that the adhesive ANF when combined with an ultrahigh-sensitivity SERS technique could be developed as a promising tool for the visualization of fingerprints and monitoring of trace chemical residues for crime tracking in forensic science. The Royal Society of Chemistry 2018-07-06 /pmc/articles/PMC9082110/ /pubmed/35539164 http://dx.doi.org/10.1039/c8ra03808b Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Lin, Jieru
Zhang, Chenjie
Xu, Minmin
Yuan, Yaxian
Yao, Jianlin
Surface-enhanced Raman spectroscopic identification in fingerprints based on adhesive Au nanofilm
title Surface-enhanced Raman spectroscopic identification in fingerprints based on adhesive Au nanofilm
title_full Surface-enhanced Raman spectroscopic identification in fingerprints based on adhesive Au nanofilm
title_fullStr Surface-enhanced Raman spectroscopic identification in fingerprints based on adhesive Au nanofilm
title_full_unstemmed Surface-enhanced Raman spectroscopic identification in fingerprints based on adhesive Au nanofilm
title_short Surface-enhanced Raman spectroscopic identification in fingerprints based on adhesive Au nanofilm
title_sort surface-enhanced raman spectroscopic identification in fingerprints based on adhesive au nanofilm
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082110/
https://www.ncbi.nlm.nih.gov/pubmed/35539164
http://dx.doi.org/10.1039/c8ra03808b
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