Insights Into Bloodstain Degradation and Time Since Deposition Estimation Using Electrochemistry

Mitchell Tiessen, Holly M. Fruehwald, E. Easton, T. Stotesbury
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引用次数: 2

Abstract

Blood is an important type of forensic evidence because it can be used for source identification, toxicological analyses, and bloodstain pattern interpretation. Determining the time that bloodshed occurred, often described as the bloodstain’s time since deposition (TSD), has important implications for crime scene investigation. In this work, we focus on using electrochemical methods to monitor the gradual oxidative changes and electron-transfer reactions of hemoglobin (Hb) occurring in degrading bloodstains using differential pulse and hydrodynamic voltammetry. Bloodstains were monitored across a two-week time series in five different temperature conditions. Linear mixed models generated from the differential pulse voltammograms (DPV) suggested that 7 of 27 variables related to the redox reactions associated with the blood film were significantly correlated with time (p < 0.033). Of these correlated variables, all were related to the reduction of bound oxygen to hemoglobin or the oxidation of hemoglobin degradation products within the film. Hydrodynamic voltammetry demonstrated that hemoglobin retains its catalytic activity for oxygen reduction when aged on an electrode surface with a shift to greater peroxide formation the longer it is aged. The time series models are improved when the biological replicate is considered as a random effect, and as well as when peak area ratios are included in the model. Interestingly, using linear mixed models we observed a significant change in redox response at the 96-h time point (p < 0.043) regardless of temperature condition. Overall, we demonstrate preliminary support for DPV as a technique for TSD estimation of bloodstains.
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利用电化学方法估算血迹降解和沉积时间
血液是一种重要的法医证据,因为它可以用于来源鉴定、毒理学分析和血迹模式解释。确定流血事件发生的时间,通常被描述为血迹自沉积以来的时间(TSD),对犯罪现场调查具有重要意义。在这项工作中,我们专注于使用电化学方法,使用微分脉冲和流体动力学伏安法监测降解血迹中血红蛋白(Hb)的逐渐氧化变化和电子转移反应。在五种不同的温度条件下,对血迹进行为期两周的时间序列监测。由差分脉冲伏安图(DPV)生成的线性混合模型表明,与血膜相关的氧化还原反应相关的27个变量中有7个与时间显著相关(p<0.033)。在这些相关变量中,所有变量都与结合氧还原为血红蛋白或膜内血红蛋白降解产物的氧化有关。水动力学伏安法表明,血红蛋白在电极表面上老化时,仍保持其对氧还原的催化活性,老化时间越长,过氧化物的形成量就越大。当生物复制被认为是随机效应时,以及当模型中包括峰值面积比时,时间序列模型得到了改进。有趣的是,使用线性混合模型,我们观察到在96小时的时间点,无论温度条件如何,氧化还原反应都发生了显著变化(p<0.043)。总的来说,我们证明了DPV作为一种TSD估计血迹的技术的初步支持。
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