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基于兔胫骨骨折自身对照模型的 FTIR 光谱法鉴定复杂环境中的生前和死后骨折。

Identification of antemortem and postmortem fractures in a complex environment by FTIR spectroscopy based on a rabbit tibial fracture self-control model.

机构信息

Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.

出版信息

Int J Legal Med. 2021 Nov;135(6):2385-2394. doi: 10.1007/s00414-021-02633-9. Epub 2021 Jun 26.


DOI:10.1007/s00414-021-02633-9
PMID:34173849
Abstract

The identification of antemortem and postmortem fractures is a critical and challenging task for forensic researchers. Based on our preliminary studies, we explored whether the combination of Fourier transform infrared spectroscopy (FTIR) and chemometrics can identify antemortem and postmortem fractures in complex environments. The impacts of the four environments on the bone spectrum were analyzed by principal component analysis (PCA). It was found that the bone degradation rate in the submerged and ground surface (GS) environments was higher than that in the buried and constant temperature and moisture (CTM) environments. Additionally, the bone degradation rate in buried environment higher than that in the CTM environment. The average spectrum, PCA and partial least squares discriminant analysis (PLS-DA) results all revealed that there were significant differences between the antemortem fracture and the remaining three groups in a complex environment. Compared with the antemortem fracture, the antemortem fracture control (AFC) and postmortem fracture control (PFC) tended to be more similar to the postmortem fracture. According to the loading plot, amide I and amide II were the main components that contributed to the identification of the antemortem fracture, AFC, postmortem fracture, and PFC. Finally, we established a differential model for the antemortem and postmortem fractures (an accuracy of 96.9%), and a differentiation model for the antemortem fracture, AFC, postmortem fracture, and PFC (an accuracy of 87.5%). In conclusion, FTIR spectroscopy is a reliable tool for the identification of antemortem and postmortem fractures in complex environments.

摘要

生前和死后骨折的鉴定是法医研究人员面临的一项关键且具有挑战性的任务。基于我们的初步研究,我们探讨了傅里叶变换红外光谱(FTIR)和化学计量学的结合是否可以在复杂环境中识别生前和死后骨折。主成分分析(PCA)分析了四种环境对骨骼光谱的影响。结果发现,浸泡和地面(GS)环境中的骨骼降解速度高于埋藏和恒温恒湿(CTM)环境。此外,埋藏环境中的骨骼降解速度高于 CTM 环境。平均光谱、PCA 和偏最小二乘判别分析(PLS-DA)的结果均表明,在复杂环境中,生前骨折与其余三组之间存在显著差异。与生前骨折相比,生前骨折对照(AFC)和死后骨折对照(PFC)更倾向于与死后骨折相似。根据加载图,酰胺 I 和酰胺 II 是有助于识别生前骨折、AFC、死后骨折和 PFC 的主要成分。最后,我们建立了生前和死后骨折的差异模型(准确率为 96.9%),以及生前骨折、AFC、死后骨折和 PFC 的差异模型(准确率为 87.5%)。总之,FTIR 光谱是在复杂环境中识别生前和死后骨折的可靠工具。

相似文献

[1]
Identification of antemortem and postmortem fractures in a complex environment by FTIR spectroscopy based on a rabbit tibial fracture self-control model.

Int J Legal Med. 2021-11

[2]
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[3]
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[6]
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[7]
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[2]
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本文引用的文献

[1]
Identification of antemortem, perimortem and postmortem fractures by FTIR spectroscopy based on a rabbit tibial fracture model.

Spectrochim Acta A Mol Biomol Spectrosc. 2020-10-5

[2]
Spectrochemical differentiation of meningioma tumours based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy.

Anal Bioanal Chem. 2019-12-21

[3]
Postmortem imaging of perimortem skeletal trauma.

Forensic Sci Int. 2019-8-8

[4]
Fourier transform infrared spectroscopy research on subchondral bone in osteoarthritis.

Spectrochim Acta A Mol Biomol Spectrosc. 2019-4-11

[5]
Evaluating the effects of causes of death on postmortem interval estimation by ATR-FTIR spectroscopy.

Int J Legal Med. 2019-3-25

[6]
Human and non-human bone identification using FTIR spectroscopy.

Int J Legal Med. 2019-1

[7]
Soil characterisation by bacterial community analysis for forensic applications: A quantitative comparison of environmental technologies.

Forensic Sci Int Genet. 2017-1

[8]
Early Alterations in Bone Characteristics of Type I Diabetic Rat Femur: A Fourier Transform Infrared (FT-IR) Imaging Study.

Appl Spectrosc. 2016-12

[9]
Microdialysis Sampling from Wound Fluids Enables Quantitative Assessment of Cytokines, Proteins, and Metabolites Reveals Bone Defect-Specific Molecular Profiles.

PLoS One. 2016-7-21

[10]
Characterization of human breast cancer tissues by infrared imaging.

Analyst. 2016-1-21

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