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两步矩阵法增强显现潜在指纹并对其成像。

Two-step matrix application for the enhancement and imaging of latent fingermarks.

机构信息

Biomedical Research Centre, Sheffield Hallam University, Sheffield, United Kingdom.

出版信息

Anal Chem. 2011 Jul 15;83(14):5585-91. doi: 10.1021/ac200619f. Epub 2011 Jun 13.

Abstract

Matrix deposition is a crucial aspect for successful matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI MSI) analysis. The search for more efficient protocols over the years has resulted in the devising of "dry matrix methods" in which the matrix is solely or preliminarily deposited as powder and acts in most cases as a seeding agent. Although not fully embraced by the MALDI MSI community, these methods have proven to be more efficient in terms of ion intensity, ion abundance, and ion images in the experimental circumstances they were employed. Here we report a novel two-step matrix application method, that we have named the "dry-wet" method, where the matrix is dusted onto the sample followed by solvent spray using a robotic device. The new method has been successfully applied to the detection and mapping of several analyte classes within latent fingermarks. Dusting the matrix generated the added advantage of enhancing the latent fingermarks which are invisible. This allows not only for an optical image to be taken of the fingermark in situ but also bridges the gap in the application of MALDI MSI technology in this field; with the use of the methodology reported, fingermark enhancement, recovery, and analysis from different surfaces is now compatible with subsequent MALDI MSI analysis thus allowing visual and chemical information to be obtained simultaneously.

摘要

基质沉积是基质辅助激光解吸电离质谱成像(MALDI MSI)分析成功的关键方面。多年来,人们一直在寻找更有效的方案,由此产生了“干基质方法”,其中基质仅作为粉末沉积或初步沉积,并在大多数情况下充当成核剂。尽管这些方法尚未被 MALDI MSI 社区完全接受,但在它们所应用的实验条件下,这些方法在离子强度、离子丰度和离子图像方面已被证明更有效。在这里,我们报告了一种新的两步基质应用方法,我们将其命名为“干-湿”方法,其中基质被撒在样品上,然后使用机器人设备进行溶剂喷雾。该新方法已成功应用于潜伏指纹中几种分析物类别的检测和成像。撒上基质还有一个额外的好处,就是可以增强肉眼不可见的潜伏指纹。这不仅允许对原位的指纹进行光学成像,而且还弥补了 MALDI MSI 技术在该领域应用的空白;通过使用所报道的方法,现在可以兼容从不同表面进行的指纹增强、恢复和分析,随后进行 MALDI MSI 分析,从而可以同时获得视觉和化学信息。

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