Suppr超能文献

使用 YVO4:Er,Yb 上转换发光粒子在无孔和半多孔表面上的指印检测。

Fingermark detection on non-porous and semi-porous surfaces using YVO4:Er,Yb luminescent upconverting particles.

机构信息

Centre for Forensic Science, University of Technology, Sydney, PO Box 123, Broadway, NSW 2007, Australia.

出版信息

Forensic Sci Int. 2012 Apr 10;217(1-3):e23-6. doi: 10.1016/j.forsciint.2011.10.033. Epub 2011 Nov 1.

Abstract

This article describes the use of an anti-Stokes luminescent material (upconverter), yttrium vanadate doped with ytterbium and erbium (YVO(4):Er,Yb), for the development of latent fingermarks on a range of non-porous surfaces. Anti-Stokes luminescent materials emit light at shorter wavelengths than the excitation wavelength. This property is unusual in both natural and artificial materials commonly found as exhibits in forensic science casework. As a result, fingermark detection techniques based on anti-Stokes luminescence are potentially extremely sensitive and selective. Latent fingermarks on non-luminescent and inherently luminescent substrates, including Australian polymer banknotes (a well-known 'difficult' surface), were developed with YVO(4):Er,Yb by dry powder and wet powder techniques. The effectiveness of YVO(4):Er,Yb for fingermark detection was compared with that of cyanoacrylate fuming and of sodium yttrium tetrafluoride doped with ytterbium and erbium (NaYF(4):Er,Yb). The results illustrate some benefit of luminescent up-converting phosphors over traditional luminescence techniques for the detection of latent fingermarks.

摘要

本文描述了反斯托克斯发光材料(上转换材料),即掺镱和铒的钒酸钇(YVO(4):Er,Yb)在一系列非多孔表面上显现潜在指纹的应用。反斯托克斯发光材料发射的光的波长比激发波长短。这种性质在法医学物证检验中常见的天然和人工材料中都很不寻常。因此,基于反斯托克斯发光的指纹检测技术具有极高的灵敏度和选择性。通过干法和湿法粉末技术,在包括澳大利亚聚合物钞票(一种众所周知的“困难”表面)在内的非发光和固有发光基质上开发了 YVO(4):Er,Yb 的潜在指纹。将 YVO(4):Er,Yb 与氰基丙烯酸烟雾法和掺镱和铒的氟化钇钠(NaYF(4):Er,Yb)进行了比较,以评估 YVO(4):Er,Yb 对指纹检测的有效性。结果表明,在检测潜在指纹方面,上转换荧光粉的发光技术比传统的发光技术具有一些优势。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验