Ludes Bertrand Pierre, Chambre Arthur, Delabarde Tania
Université de Paris, CNRS, BABEL, Paris, F-75012, France.
Service de Médecine Légale, Centre Hospitalier Sud Francilien, 40 Avenue Serge Dassault, Corbeil Essonnes, 91100, France.
Int J Legal Med. 2025 Mar;139(2):597-605. doi: 10.1007/s00414-024-03370-5. Epub 2024 Nov 18.
This article evaluates the criteria for diatom testing in forensic investigations, focusing on drowning cases. Diatoms, unicellular algae found in aquatic environments, are critical to the determination of drowning because water containing diatoms is inhaled during submersion. The primary objectives include defining the exact amount and type of tissue to be analyzed, expressed in terms of diatom concentration relative to tissue weight, and detailing the conditions under which water samples are collected to study the diatom flora at the site. In addition, the importance of accurately identifying diatom taxa and comparing them by unit weight is emphasized. To improve the reliability of diatom testing, the study discusses advanced methods such as microwave digestion, vacuum filtration, and automated scanning electron microscopy (MD-VF-Auto SEM), which offer higher sensitivity and specificity. The integration of DNA sequencing and deep learning techniques is explored, offering promising improvements in diatom detection and classification. These advances aim to reduce false positives and improve the accuracy of determining drowning as the cause of death. The article highlights the need for standardized protocols for diatom testing to ensure consistency and reliability. By incorporating new technologies and refining existing methods, the forensic application of diatom testing can be significantly improved, allowing for more accurate and reliable conclusions in drowning investigations.
本文评估了法医调查中硅藻检测的标准,重点是溺水案件。硅藻是在水生环境中发现的单细胞藻类,对于确定溺水至关重要,因为在浸没过程中会吸入含有硅藻的水。主要目标包括确定要分析的组织的确切数量和类型,以相对于组织重量的硅藻浓度来表示,并详细说明收集水样以研究现场硅藻群落的条件。此外,强调了准确识别硅藻分类群并按单位重量进行比较的重要性。为了提高硅藻检测的可靠性,该研究讨论了诸如微波消解、真空过滤和自动扫描电子显微镜(MD-VF-Auto SEM)等先进方法,这些方法具有更高的灵敏度和特异性。还探讨了DNA测序和深度学习技术的整合,有望在硅藻检测和分类方面带来改进。这些进展旨在减少假阳性,并提高将溺水确定为死因的准确性。本文强调了硅藻检测标准化方案的必要性,以确保一致性和可靠性。通过纳入新技术和改进现有方法,硅藻检测的法医应用可以得到显著改善,从而在溺水调查中得出更准确可靠的结论。