Evaluating the strength of evidence of elemental profiling of polymers with LA-ICP-MS

IF 2.6 3区 医学 Q2 CHEMISTRY, ANALYTICAL
Mirjam de Bruin-Hoegée , Ruthmara Corzo , Peter D. Zoon , Peter Vergeer , Jorien Schoorl , Marcel J. van der Schans , Daan Noort , Arian C. van Asten
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Abstract

LA-ICP-MS is a powerful technique for obtaining a forensic elemental profile of polymer evidence materials. However, the lack of homogeneous polymer reference standards hampers database creation and reliably matching a sample to a specific source. Therefore, the current study aims to evaluate the strength of evidence of forensic polymer comparisons by applying a matrix-matched reference standard with known concentrations for elements of interest. Four datasets of tapes, electrical wires, tubing, and jerrycans were compiled using LA-ICP-MS. It was found that quantification with the new PVC standard or by simply using the response of one element as internal standard significantly reduced the between-run variation. For each class of polymeric materials, characteristic elements could be identified with PCA and LDA. To facilitate classification, elemental concentrations were found to be typical for specific colors and types of polymeric materials. For forensic comparison, a score-based Bayesian likelihood ratio model and the t-test overlap method performed better than the feature-based model and 4-sigma criterion, in terms of rates of misleading evidence. Normalization to 13C and quantification with the PVC standard with and without prior normalization to 13C slightly reduced rates of misleading evidence. The t-test method showed an overall average false inclusion rate of only 0.45% and a false exclusion rate of 2.4%. Maximum calibrated likelihood ratios of 0.014 to 1778 were found for the tape dataset. In conclusion, this study demonstrates that with the use of proper standards, quantitative elemental profiling with LA-ICP-MS is a promising tool for forensic classification and comparison of polymers.

Abstract Image

用 LA-ICP-MS 评估聚合物元素分析的证据强度
LA-ICP-MS 是一种获取聚合物证据材料法证元素特征的强大技术。然而,同质聚合物参考标准的缺乏阻碍了数据库的创建和将样本与特定来源进行可靠比对。因此,本研究旨在通过应用已知相关元素浓度的基质匹配参考标准,评估法证聚合物比对的证据强度。使用 LA-ICP-MS 对胶带、电线、管子和豆腐渣罐的四个数据集进行了汇编。结果发现,使用新的 PVC 标准或仅使用一种元素的响应作为内标来进行定量,可大大减少运行之间的差异。对于每一类聚合物材料,都可以通过 PCA 和 LDA 确定特征元素。为便于分类,发现了特定颜色和类型聚合材料的典型元素浓度。在法证比较方面,就误导证据率而言,基于分数的贝叶斯似然比模型和 t 检验重叠法比基于特征的模型和 4 西格玛标准表现更好。对 13C 进行归一化处理,以及使用聚氯乙烯标准进行定量,无论是否事先对 13C 进行归一化处理,都会略微降低误导性证据的比率。t 检验法显示,总体平均误包含率仅为 0.45%,误排除率为 2.4%。胶带数据集的最大校准似然比为 0.014 至 1778。总之,这项研究表明,在使用适当标准的情况下,利用 LA-ICP-MS 进行定量元素分析是一种很有前途的工具,可用于聚合物的法医分类和比较。
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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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