激光诱导分解光谱作为骨分类和个人重新分配的准确法医工具
Jafet Cárdenas-Escudero1,2, David Galán-Madruga3, Jorge O Cáceres1
1Laser Chemistry Research Group, Department of Analytical Chemistry, Faculty of Chemistry, Complutense University of Madrid, 28040 Madrid, Spain.
Applied spectroscopy
|October 3, 2024
概括
激光诱导分解光谱 (LIBS) 和人工智能算法准确地重新分配混合的骨残骸. 这种快速,具有成本效益的方法使用骨化学作为独特的标识符,优于其他技术.
科学领域:
- 法医人类学 法医人类学
- 分析化学 分析化学
- 生物分子分析
背景情况:
- 骨的元素组成作为一个独特的个人标识符.
- 激光诱导分解光谱 (LIBS) 提供样品的基本指纹.
- 混合骨的个人重新分配是一个重要的法医挑战.
研究的目的:
- 评估LIBS与监督分类相结合的潜力,以进行个人骨重新分配.
- 评估LIBS用于法医识别的准确性,灵敏性和稳定性.
- 将LIBS的表现与其他分析技术进行比较.
主要方法:
- 使用LIBS的微米骨样品部分的直接切除.
- 用于个人识别的元素发射光谱的分析.
- 将包括人工智能算法在内的七种监督分类方法应用于LIBS数据.
主要成果:
- 基于人工智能的算法在个体骨重组中实现了100%的准确性,灵敏性和稳定性.
- 在准确性和可靠性方面,LIBS与其他技术相比表现优越.
- 在没有复杂的样本准备的情况下,LIBS提供了一种快速,简单和具有成本效益的方法.
结论:
- 与人工智能驱动的分类相结合的LIBS是一种高度有效的方法,用于混合骨残骸的个体重新分配.
- 该技术利用独特的骨质元素组成来进行可靠的法医识别.
- 在法医人类学和识别科学方面,LIBS是一个有前途的进步.
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