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利用μXRF技术的最新进展对小型建筑和车辆玻璃碎片进行法医分析。

Forensic analysis of small architectural and vehicle glass fragments using recent developments in μXRF technology.

作者信息

Andrews Zachary, Ernst Troy, Corzo Ruthmara, Neumann Cedric, Trejos Tatiana

机构信息

Department of Forensic & Investigative Science, West Virginia University, Morgantown, West Virginia, USA.

Forensic Science Division, Michigan State Police, Grand Rapids, Michigan, USA.

出版信息

J Forensic Sci. 2025 Sep;70(5):1755-1769. doi: 10.1111/1556-4029.70096. Epub 2025 May 25.

Abstract

Glass fragments are frequently recovered during criminal investigations as they can provide links between the crime scene, suspects, or victims. The elemental composition of glass is often used to determine if there is a source commonality between glass samples. Micro-X-ray fluorescence spectrometry (μXRF) is a standard technique for elemental glass comparisons due to its high informing power, low cost, rapid analysis time, and non-destructive nature. In recent years, advancements in μXRF technology, such as silicon drift detectors (SDD), have improved precision and analysis time and increased adoption in crime laboratories. Furthermore, the superior precision afforded by SDD technology has been hypothesized to allow for accurate analysis of much thinner glass fragments, expanding its applicability to casework scenarios where smaller fragments are encountered. This study compares results for the μXRF analysis of full-thickness (≈2 mm) and thin glass fragments (10 to 50 μm) for different types of float glass. The proposed modified 3s comparison criterion results in a false exclusion rate of less than 2.5% and a false inclusion rate of less than 1.5% for full-thickness fragments. Thin fragments yielded false exclusion and false inclusion rates of less than 12% and 7.5%, respectively. A spectral similarity metric, spectral contrast angle ratio (SCAR), was tested to quantitatively evaluate spectral similarity, achieving accuracies of greater than 98% and 91% for full-thickness fragments and thin fragments, respectively. These findings show that while full-thickness fragments produce more precise data, μXRF-SDD is suitable for fragments as thin as 10 μm.

摘要

在刑事调查中经常会发现玻璃碎片,因为它们可以提供犯罪现场、嫌疑人或受害者之间的联系。玻璃的元素组成通常用于确定玻璃样本之间是否存在共同来源。微X射线荧光光谱法(μXRF)由于其高信息量、低成本、快速分析时间和非破坏性,是用于元素玻璃比较的标准技术。近年来,μXRF技术的进步,如硅漂移探测器(SDD),提高了精度和分析时间,并在犯罪实验室中得到了更广泛的应用。此外,据推测,SDD技术提供的卓越精度能够对更薄的玻璃碎片进行准确分析,从而将其适用性扩展到遇到较小碎片的案件场景中。本研究比较了不同类型浮法玻璃的全厚度(约2毫米)和薄玻璃碎片(10至50微米)的μXRF分析结果。对于全厚度碎片,所提出的改进3s比较标准导致错误排除率低于2.5%,错误纳入率低于1.5%。薄碎片的错误排除率和错误纳入率分别低于12%和7.5%。测试了一种光谱相似性度量,即光谱对比角比(SCAR),以定量评估光谱相似性,全厚度碎片和薄碎片的准确率分别大于98%和91%。这些发现表明,虽然全厚度碎片能产生更精确的数据,但μXRF-SDD适用于薄至10微米的碎片。

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