A forensic spectroscopic identification analysis on skin evanescent trauma by chemometrics

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Yuanyuan Zhang , Gongji Wang , Xinggong Liang , Hao Wu , Zeyi Hao , Shuo Wu , Mingyan Deng , Run Chen , Kai Yu , Zuan Deng , Xin Wei , Kai Zhang , Zhenyuan Wang
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Abstract

In contemporary biomedicine, rapid diagnosis and accurate treatment of trauma is a top priority. The skin, as the organ with the most extensive contact with the outside world, is always inevitably and easily scarred when subjected to varying degrees of violence. However, when evanescent trauma occurs, the judgment of trauma becomes quite difficult, especially for closed trauma. Evanescent trauma mainly refers to the postmortem autolysis and corruption of body tissues, which lead to the failure to identify the traumatic state occurring before death using traditional detection techniques. Rapid and accurate identification of trauma and even trauma in the evanescent state plays an important role in the actual forensic examination. There have been few records on the development of quick and accurate models for the recognition and prediction of evanescent trauma on the skin. In this study, a predictive model for rapid identification of evanescent trauma in skin tissue was constructed by combining forensic spectroscopy and chemometrics analysis. Based on the mean spectra, principal component analysis (PCA) and corresponding loading plots, suggested that certain biomolecules, such as proteins and lipid molecules, might be the source of the difference between the control group and trauma group, and furthermore, there was a certain pattern of change of each molecule in the continuation of postmortem time. Partial least squares discriminant analysis (PLS-DA) was then applied to estimate the identification power of the training dataset and the testing dataset. The AUC values were 89.55 % and 94.67 %. In addition, the AUC values of the fresh-phase trauma recognition model were 100 % and 100 %, respectively, and the AUC values of the evanescent-phase trauma recognition model were respectively 92.52 % and 98.77 %. In summary, the combination of forensic spectroscopy and chemometrics completely applies their advantages of rapidity, accuracy, objectivity, high resolution and discriminative power to the study of evanescent trauma identification. Moreover, in judicial reality, the combination of spectroscopy and stoichiometry is also expected to make a huge difference in medical and criminal law applications.

利用化学计量学对皮肤蒸发创伤进行法医光谱鉴定分析
在当代生物医学中,快速诊断和准确治疗创伤是重中之重。皮肤作为与外界接触最广泛的器官,在遭受不同程度的暴力时,总是不可避免地容易留下疤痕。然而,当外伤发生时,外伤的判断就变得相当困难,尤其是闭合性外伤。消散性创伤主要是指人体组织在死后发生自溶和腐败,导致传统的检测技术无法识别死前发生的创伤状态。快速准确地识别外伤,甚至是消失状态的外伤,在实际法医检验中起着重要作用。关于开发快速准确的模型来识别和预测皮肤上的消散创伤的记录很少。本研究结合法医光谱学和化学计量学分析,构建了一个用于快速识别皮肤组织中蒸发状创伤的预测模型。基于平均光谱的主成分分析(PCA)和相应的载荷图表明,某些生物大分子,如蛋白质和脂质分子,可能是造成对照组和创伤组之间差异的原因,而且随着死后时间的延续,每种分子都有一定的变化规律。随后,应用偏最小二乘判别分析(PLS-DA)估算了训练数据集和测试数据集的识别能力。AUC 值分别为 89.55 % 和 94.67 %。此外,新鲜期创伤识别模型的 AUC 值分别为 100 % 和 100 %,衰退期创伤识别模型的 AUC 值分别为 92.52 % 和 98.77 %。综上所述,法医光谱学与化学计量学的结合,将其快速、准确、客观、分辨率高、辨别力强等优点完全应用于蒸发态创伤识别的研究中。此外,在司法现实中,光谱学和化学计量学的结合也有望在医学和刑法应用中大显身手。
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来源期刊
Vibrational Spectroscopy
Vibrational Spectroscopy 化学-分析化学
CiteScore
4.70
自引率
4.00%
发文量
103
审稿时长
52 days
期刊介绍: Vibrational Spectroscopy provides a vehicle for the publication of original research that focuses on vibrational spectroscopy. This covers infrared, near-infrared and Raman spectroscopies and publishes papers dealing with developments in applications, theory, techniques and instrumentation. The topics covered by the journal include: Sampling techniques, Vibrational spectroscopy coupled with separation techniques, Instrumentation (Fourier transform, conventional and laser based), Data manipulation, Spectra-structure correlation and group frequencies. The application areas covered include: Analytical chemistry, Bio-organic and bio-inorganic chemistry, Organic chemistry, Inorganic chemistry, Catalysis, Environmental science, Industrial chemistry, Materials science, Physical chemistry, Polymer science, Process control, Specialized problem solving.
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