Ante- and Post-Mortem Fracture Identification Protocol Based on Low- and High-Level Fusion Using Fourier Transform Infrared Spectroscopy and Raman Spectroscopy Association

作者全名："Yu, Kai; Wu, Hao; Xiong, Hongli; Wang, Gongji; Wei, Xin; Liang, Xinggong; Chen, Run; Zhang, Yuanyuan; Zhang, Kai; Wang, Zhenyuan"

作者地址："[Yu, Kai; Wu, Hao; Wang, Gongji; Wei, Xin; Liang, Xinggong; Chen, Run; Zhang, Kai; Wang, Zhenyuan] Xi An Jiao Tong Univ, Coll Forens Med, Dept Forens Pathol, Xian, Peoples R China; [Xiong, Hongli] Chongqing Med Univ, Fac Basic Med Sci, Dept Forens Med, Chongqing, Peoples R China; [Zhang, Yuanyuan] Publ Secur Bur Qian Cty, Xinyang, Shaanxi, Peoples R China; [Zhang, Kai; Wang, Zhenyuan] Xi An Jiao Tong Univ, Coll Forens Med, Dept Forens Pathol, Xian 710061, Peoples R China"

通信作者："Zhang, K; Wang, ZY (通讯作者)，Xi An Jiao Tong Univ, Coll Forens Med, Dept Forens Pathol, Xian 710061, Peoples R China."

来源：APPLIED SPECTROSCOPY

ESI学科分类：CHEMISTRY

WOS号：WOS:001176219300001

JCR分区：Q2

影响因子：2.2

年份：2024

卷号：　

期号：　

开始页：　

结束页：　

文献类型：Article; Early Access

关键词：Data fusion; Fourier transform infrared spectroscopy; Raman; forensic pathology; antemortem and postmortem fractures

摘要："In this study, the application of low-level fusion (LLF) and high-level fusion (HLF) strategies using a combination of Fourier transform infrared spectroscopy (FT-IR) and Raman spectroscopy in the identification of antemortem and postmortem fracture at different postmortem intervals (PMIs) was investigated. On a technical level, the same hard tissue sample can be detected using a mix of FT-IR and Raman techniques. At the method level, two cutting-edge chemometrics approaches (LLF and HLF) combining FT-IR and Raman spectroscopic data are explored. The models were ranked in accordance with their parametric quality as follows: HLF and LLF + HLF models > LLF single model > Raman single model > FT-IR single model. The LLF model performed marginally better than the Raman model, however, when compared to other models, the HLF model performed considerably better. The HLF model achieved the best performance, with both cross-validation accuracy and test data set accuracy of 0.88. The importance of the feature wavelengths in the model construction process was subsequently evaluated by intersection fusion, and it was found that the absorbance bands of amide I, PO43- nu(1) nu(3,) and CH2 in FT-IR and phenylalanine, CO32- nu(1)- PO43- nu(3), and amide III in Raman have outstanding contributions to the construction of antemortem and postmortem fractures identification models. Overall, the combination of FT-IR and Raman with the HLF strategy is a novel and promising approach for developing antemortem and postmortem fracture identification models at different PMIs."

基金机构：National Natural Science Foundation of China [81730056]

基金资助正文："The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Natural Science Foundation of China (grant number 81730056)."