Department of Pharmacy, Federal University of Rio Grande do Sul, 2752 Ipiranga Ave, Lab 605A - Santana, Porto Alegre, 90610-000, RS, Brazil.
Identification Group, Brazilian Federal Police, Porto Alegre, 90610-093, RS, Brazil.
J Forensic Sci. 2020 Jul;65(4):1040-1048. doi: 10.1111/1556-4029.14313. Epub 2020 Mar 16.
This systematic review deals with the last 10 years of research in analytical methodologies for the analysis of fingerprints, regarding their chemical and biological constituents. A total of 123 manuscripts, which fit the search criteria defined using the descriptor "latent fingermarks analysis," were selected. Its main instrumental areas (mass spectrometry, spectroscopy, and innovative methods) were analyzed and summarized in a specific table, highlighting its main analytical parameters. The results show that most studies in this field use mass spectrometry to identify the constituents of fingerprints, both to determine the chemical profile and for aging. There is also a marked use of mass spectrometry coupled with chromatographic methods, and it provides accurate results for a fatty acid profile. Additional significant results are achieved by spectroscopic methods, mainly Raman and infrared. It is noteworthy that spectroscopic methods using microscopy assist in the accuracy of the analyzed region of the fingerprint, contributing to more robust results. There was also a significant increase in studies using methods focused on finding new developers or identifying components present in fingerprints by rapid tests. This systematic review of analytical techniques applied to the detection of fingerprints explores different approaches to contribute to future studies in forensic identification, verifying new demands in the forensic sciences and assisting in the selection of studies for the progress of research.
本系统评价涉及过去 10 年中有关潜伏指纹化学和生物成分分析的分析方法研究。使用描述符“潜伏指纹分析”定义搜索标准,共选择了 123 篇符合标准的论文。对其主要仪器分析领域(质谱、光谱和创新方法)进行了分析和总结,并在一个特定的表格中突出显示其主要分析参数。结果表明,该领域的大多数研究都使用质谱来鉴定指纹的成分,既可以确定化学特征,也可以进行老化分析。此外,还广泛使用了与色谱法相结合的质谱技术,并且可以为脂肪酸特征提供准确的结果。光谱方法,主要是拉曼和红外光谱法,也取得了额外的显著成果。值得注意的是,使用显微镜的光谱方法有助于提高指纹分析区域的准确性,从而得到更可靠的结果。此外,使用快速检测方法寻找新的显影剂或鉴定指纹中存在的成分的研究也显著增加。本系统评价分析技术在检测指纹方面的应用,探索了不同的方法,有助于今后在法医鉴定方面的研究,验证了法医学领域的新需求,并有助于选择研究进展。