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Application of mist to fingermark detection: Misting with high‐boiling‐point liquid containing p‐dimethylaminocinnamaldehyde and cyanoacrylate.

  • Published In: Journal of Forensic Sciences, 2023, v. 68, n. 6. P. 2184 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Takatsu, Masahisa; Hibino, Kazuhito; Shimoda, Osamu; Shimizu, Yasuaki; Akiba, Norimitsu 3 of 3

Abstract

In order to detect latent fingerprints that could be damaged by liquid or powder reagents, non‐destructive processes such as gaseous reagents have been developed. In this report, we propose the use of fine mist generated when hot vapor of high‐boiling‐point liquids is rapidly cooled by surrounding air for fingermark detection. Octyl acetate (OA), 2‐phenoxyethanol (2PE), and methyl decanoate (MD) were found to efficiently produce mist when heated to 230°C. By combining these liquids with p‐dimethylaminocinnamaldehyde (DMAC) and cyanoacrylate (CN), our team demonstrated effective fluorescence staining of cyano‐treated fingermarks using DMAC/OA misting or DMAC/2PE misting, and one‐step fluorescence detection of latent fingermarks without cyanoacrylate treatment using DMAC/OA/CN misting or DMAC/MD/CN misting. Fingermark fluorescence was efficiently observed by excitation with a blue LED light (max. wavelength 470 nm) equipped with an interference filter and passing through a 520 nm long‐pass filter. We successfully obtained fluorescent images from fingermarks on several substrate materials using the developed misting method. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Forensic Sciences. 2023/11, Vol. 68, Issue 6, p2184
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2023
  • ISSN:0022-1198
  • DOI:10.1111/1556-4029.15331
  • Accession Number:173182008
  • Copyright Statement:Copyright of Journal of Forensic Sciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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