Analysis of amino acids in latent fingerprint residue by capillary electrophoresis-mass spectrometry.
Analysis of amino acids in latent fingerprint residue by capillary electrophoresis-mass spectrometry.
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DOI：
10.1002/jssc.201200398
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发表时间：
2012-11
影响因子：
3.1
通讯作者：
Tom Atherton;R. Croxton;M. Baron;J. González-Rodríguez;L. Gámiz-Gracia;A. García-Campaña
中科院分区：
文献类型：
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作者：
Tom Atherton;R. Croxton;M. Baron;J. González-Rodríguez;L. Gámiz-Gracia;A. García-Campaña
指纹化学成分的分析对于现有指纹增强技术的发展和完善具有重要意义。本研究展示了第一个潜在的指纹样本的分析，使用优化的CE-MS方法。在指纹图谱样品中共检测到12种氨基酸。MS/MS碎片用于提供额外的身份确认，其中检测到的十二种氨基酸中有八种产生了确认性产物离子。9种氨基酸进行了定量，其相对丰度与以前的研究是一致的丝氨酸和甘氨酸是最丰富的。成功地检测潜在指纹中的氨基酸，表明CE-MS是一种潜在的未来技术，用于进一步研究指纹样品中的此类化合物。
The analysis of the chemical composition of fingerprints is important for the development and improvement of existing fingerprint enhancement techniques. This study demonstrates the first analysis of a latent fingerprint sample, using an optimized CE-MS method. In total 12 amino acids were detected in the fingerprint sample. MS/MS fragmentation was used to provide additional identity confirmation, for which eight of the twelve detected amino acids generated confirmatory product ions. Nine amino acids were quantified and their relative abundances were consistent with previous studies with serine and glycine being the most abundant. The successful detection of amino acids from latent fingerprints demonstrates that CE-MS is a potential future technique for further study of such compounds in fingerprint samples.