Concentration of ignitable liquid residue from simulated fire debris by dynamic vapor microextraction: Sensitivity to instrument settings and debris characteristics

IF 2.6 3区 医学 Q2 CHEMISTRY, ANALYTICAL
Jennifer L. Berry , Mary E. Gregg , Amanda A. Koepke , Reta Newman , Kavita M. Jeerage
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Abstract

Dynamic vapor microextraction (DVME) is a potential method for the extraction and concentration of ignitable liquid (IL) residue in fire debris. This low flow rate, purge-and-trap headspace concentration method collects IL vapors onto a chilled adsorbent capillary and recovers them by elution with acetone. As an emerging method for fire debris analysis, the sensitivity of DVME performance to instrument settings has yet to be established and, additionally, the effect of variability inherent in authentic fire debris (e.g., water content) has not yet been explored. In this work, we quantitatively evaluate the effect of 11 factors via a sensitivity analysis with simulated fire debris. The factors studied included six controllable instrument settings and five reflecting debris characteristics. We quantified performance by covariance mapping between gas chromatography – mass spectrometry (GC–MS) retention time – ion abundance matrices for the recovered eluates and corresponding reference samples. Six factors were found to be significant. IL volume, IL weathering, and debris quantity significantly affected the recovered eluates, whereas water content did not. As related to recovering IL residue from simulated fire debris, recommended instrument settings include a higher oven temperature, longer equilibration time, larger volume of extracted headspace (collection volume), and a lower inlet flow rate. Together with the covariance mapping metric, the fractional factorial design successfully addressed questions about the effect of instrument factors, debris factors, and their interactions with an efficient number of experiments.

Abstract Image

用动态蒸气微萃取法从模拟火灾碎片中提取可燃液体残留物的浓度:对仪器设置和碎片特性的敏感性
动态蒸气微萃取(DVME)是一种很有潜力的提取和浓缩火场碎屑中可燃液体残渣的方法。这种低流量、净化和捕集顶空浓缩方法将IL蒸气收集到冷冻吸附剂毛细管上,并通过丙酮洗脱回收。作为一种新兴的火灾碎片分析方法,DVME性能对仪器设置的敏感性尚未建立,此外,尚未探索真实火灾碎片(例如含水量)固有变异性的影响。在这项工作中,我们通过模拟火灾碎片的敏感性分析,定量评估了11个因素的影响。研究的因素包括6个可控仪器设置和5个反映碎片特征的因素。我们通过气相色谱-质谱(GC-MS)保留时间-离子丰度矩阵与相应参比样品之间的协方差映射来定量性能。六个因素被发现是显著的。IL体积、IL风化和碎屑数量对回收的淋洗液有显著影响,而含水量则没有影响。关于从模拟火灾碎片中回收IL残留物,推荐的仪器设置包括更高的烤箱温度,更长的平衡时间,更大的提取顶空间(收集体积)和更低的进口流量。与协方差映射度量一起,分数因子设计成功地解决了仪器因素、碎片因素的影响问题,以及它们与有效实验数量的相互作用。
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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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