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利用 ATR-FTIR 光谱技术在小鼠模型中鉴定创伤性脑损伤(TBI)。

Identifying traumatic brain injury (TBI) by ATR-FTIR spectroscopy in a mouse model.

机构信息

Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2022 Jun 5;274:121099. doi: 10.1016/j.saa.2022.121099. Epub 2022 Mar 1.

DOI:10.1016/j.saa.2022.121099
PMID:35257986
Abstract

Traumatic brain injury (TBI) is one of the most common mechanical injuries and plays a significant role in forensic practice. For cadavers, however, accurate diagnosis of TBI becomes a more and more challenging task as the level of decomposition increases. Our main purpose was to investigate whether TBI in putrefied mouse cadavers can be identified by Fourier Transform Infrared (FT-IR). The method proposed by Feeney et al. was used to establish the mouse TBI model. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) modeling were used to distinguish fresh and putrefied brain tissues. Then, we established two PLS-DA models to identify injured area samples in fresh and putrefied brain tissue samples. The accuracy of the two models were 100% and 92.5%. Our preliminary research has proved that the use of FT-IR spectroscopy combined with chemometrics can identify TBI more quickly and accurately in cadavers, providing crucial evidence for judicial proceedings.

摘要

创伤性脑损伤(TBI)是最常见的机械性损伤之一,在法医学实践中起着重要作用。然而,对于尸体来说,随着分解程度的增加,准确诊断 TBI 变得越来越具有挑战性。我们的主要目的是研究傅里叶变换红外(FT-IR)是否可用于识别腐烂鼠尸体中的 TBI。Feeney 等人提出的方法用于建立小鼠 TBI 模型。主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)建模用于区分新鲜和腐烂脑组织。然后,我们建立了两个 PLS-DA 模型来识别新鲜和腐烂脑组织样本中的损伤区域样本。两个模型的准确率均为 100%和 92.5%。我们的初步研究证明,使用 FT-IR 光谱结合化学计量学可以更快速、准确地识别尸体中的 TBI,为司法程序提供关键证据。

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