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激光诱导击穿光谱法作为一种用于骨骼分类和个体重新识别的精确法医工具。

Laser-Induced Breakdown Spectroscopy as an Accurate Forensic Tool for Bone Classification and Individual Reassignment.

作者信息

Cárdenas-Escudero Jafet, Galán-Madruga David, Cáceres Jorge O

机构信息

Laser Chemistry Research Group, Department of Analytical Chemistry, Faculty of Chemistry, Complutense University of Madrid, 28040 Madrid, Spain.

Analytical Chemistry Department, FCNET, Universidad de Panamá, Ciudad Universitaria, Estafeta Universitaria, 3366, Panama City, Panama.

出版信息

Appl Spectrosc. 2025 Feb;79(2):241-259. doi: 10.1177/00037028241277897. Epub 2024 Oct 3.

Abstract

This article provides a detailed discussion of the evidence available to date on the application of laser-induced breakdown spectroscopy (LIBS) and supervised classification methods for the individual reassignment of commingled bone remains. Specialized bone chemistry studies have demonstrated the suitability of bone elemental composition as a distinct individual identifier. Given the widely documented ability of the LIBS technique to provide elemental emission spectra that are considered elemental fingerprints of the samples analyzed, the analytical potential of this technique has been assessed for the investigation of the contexts of commingled bone remains for their individual reassignment. The LIBS bone analysis consists of the direct ablation of micrometric portions of bone samples, either on their surface or within their internal structure. To produce reliable, accurate, and robust bone classifications, however, the available evidence suggests that LIBS spectral information must be processed by appropriate methods. When comparing the performance of seven different supervised classification methods using spectrochemical LIBS data for individual reassociation, those employing artificial intelligence-based algorithms produce analytically conclusive results, concretely individual reassociations with 100% accuracy, sensitivity, and robustness. Compared to LIBS, other techniques used for the purpose of interest exhibit limited performance in terms of robustness, sensitivity, and accuracy, as well as variations in these results depending on the type of bones used in the classification. The available literature supports the suitability of the LIBS technique for reliable individual reassociation of bone remains in a fast, simple, and cost-effective manner without the need for complicated sample processing.

摘要

本文详细讨论了迄今为止有关激光诱导击穿光谱法(LIBS)以及用于混合骨骼遗骸个体重新识别的监督分类方法的现有证据。专门的骨化学研究已证明骨元素组成作为独特个体标识符的适用性。鉴于LIBS技术具有广泛记载的提供元素发射光谱的能力,这些光谱被视为所分析样品的元素指纹,因此已评估了该技术在调查混合骨骼遗骸背景以进行个体重新识别方面的分析潜力。LIBS骨分析包括直接烧蚀骨样品的微米级部分,无论是在其表面还是内部结构内。然而,为了产生可靠、准确和稳健的骨骼分类,现有证据表明LIBS光谱信息必须通过适当的方法进行处理。当使用光谱化学LIBS数据对七种不同的监督分类方法进行个体重新关联的性能比较时,那些采用基于人工智能算法的方法产生了具有分析结论性的结果,具体而言,个体重新关联的准确率、灵敏度和稳健性均达到100%。与LIBS相比,用于该目的的其他技术在稳健性、灵敏度和准确性方面表现有限,并且这些结果会因分类中使用的骨骼类型而有所不同。现有文献支持LIBS技术适用于以快速、简单且经济高效的方式对骨骼遗骸进行可靠的个体重新识别,而无需复杂的样品处理。

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