Screen-printed electrode modified with bismuth film and chemometric techniques for on-site detection and classification of gunshot residues

IF 2.6 3区 医学 Q2 CHEMISTRY, ANALYTICAL
Leandro Paulo da Silva , Lívia Rodrigues e Brito , Ramon Bezerra de Souza , Carlos Fernando Pessoa Monteiro Filho , Vagner Bezerra dos Santos , Licarion Pinto
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Abstract

The analysis of gunshot residues (GSR) is important for forensic science to help understand what happened in a crime scene. Many works on this have been published; however, there are a number of questions that remain. An analytical method should ideally respond to these questions: 1 Can the residue from a shooting or the analysis present a false positive? 2. Is it possible to identify the gun used in a shooting and information about it such as caliber and type of ammunition used? An analysis, as well, must be precise, easy to use, reproducible and allowable on-site. To achieve these requirements, voltammograms registered on a portable potentiostat, and chemometrics analysis were used. Electroanalytical techniques provide meaningful chemical information about a sample. Chemometric tools make it possible to build models to identify even small differences and respond to these questions with data. A total of 90 GSR samples were collected with the help of the Institute of Criminalistics in the state of Pernambuco, Brazil. The GSR were taken from 3 types of firearms, 2 of them with distinct ammunition. To assess the risk of false positives, 45 non-shooting samples were analyzed. The model constructed achieved a classification accuracy of 100 % to respond to the question of false positives. There was an accuracy rate of over 85 % for the second question, of identifying information about the weapon. A blind test was performed and used to prove that the electroanalytical-chemometrics methodology was useful and effective for GSR forensic investigators, enabling the emission of reliable reports, and contributing to faster processing of legal proceedings.

Abstract Image

用铋膜修饰的丝网印刷电极和化学计量技术用于现场检测枪弹残留物并进行分类
分析枪击残留物(GSR)对于法医学来说非常重要,有助于了解犯罪现场发生了什么。许多相关著作已经出版,但仍有许多问题有待解决。理想的分析方法应该能够回答这些问题:1 枪击案的残留物或分析会不会出现假阳性?2.是否有可能确定枪击案中使用的枪支以及相关信息,如所用弹药的口径和类型?分析还必须精确、易于使用、可重复,并允许在现场进行。为了达到这些要求,我们使用了在便携式恒电位仪上记录的伏安图和化学计量学分析。电分析技术可提供有关样品的有意义的化学信息。化学计量学工具可以建立模型来识别微小的差异,并用数据来回答这些问题。在巴西伯南布哥州犯罪学研究所的帮助下,共收集了 90 份 GSR 样本。GSR 取自 3 种枪支,其中 2 种枪支使用不同的弹药。为了评估误报风险,还分析了 45 份非射击样本。针对误报问题,所构建模型的分类准确率达到 100%。在第二个问题中,识别武器信息的准确率超过 85%。进行的盲测证明,电分析化学计量学方法对 GSR 法证调查人员有用且有效,能够生成可靠的报告,并有助于加快法律诉讼的处理速度。
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来源期刊
Forensic Chemistry
Forensic Chemistry CHEMISTRY, ANALYTICAL-
CiteScore
5.70
自引率
14.80%
发文量
65
审稿时长
46 days
期刊介绍: Forensic Chemistry publishes high quality manuscripts focusing on the theory, research and application of any chemical science to forensic analysis. The scope of the journal includes fundamental advancements that result in a better understanding of the evidentiary significance derived from the physical and chemical analysis of materials. The scope of Forensic Chemistry will also include the application and or development of any molecular and atomic spectrochemical technique, electrochemical techniques, sensors, surface characterization techniques, mass spectrometry, nuclear magnetic resonance, chemometrics and statistics, and separation sciences (e.g. chromatography) that provide insight into the forensic analysis of materials. Evidential topics of interest to the journal include, but are not limited to, fingerprint analysis, drug analysis, ignitable liquid residue analysis, explosives detection and analysis, the characterization and comparison of trace evidence (glass, fibers, paints and polymers, tapes, soils and other materials), ink and paper analysis, gunshot residue analysis, synthetic pathways for drugs, toxicology and the analysis and chemistry associated with the components of fingermarks. The journal is particularly interested in receiving manuscripts that report advances in the forensic interpretation of chemical evidence. Technology Readiness Level: When submitting an article to Forensic Chemistry, all authors will be asked to self-assign a Technology Readiness Level (TRL) to their article. The purpose of the TRL system is to help readers understand the level of maturity of an idea or method, to help track the evolution of readiness of a given technique or method, and to help filter published articles by the expected ease of implementation in an operation setting within a crime lab.
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