Li Chengzhi, Ma Dong, Deng Kaifei, Chen Yijiu, Huang Ping, Wang Zhenyuan
School of Forensic Science and Medicine, Xi'an Jiaotong University, Xi'an, 710061, China.
Department of Forensic Pathology, Institute of Forensic Science, Ministry of Justice, Shanghai, 200063, China.
J Forensic Sci. 2017 Sep;62(5):1345-1350. doi: 10.1111/1556-4029.13413. Epub 2017 Apr 23.
Estimating the postmortem interval (PMI) is very important in the forensic sciences. Although many approaches have been used for estimating the PMI, accurate PMI calculations are still difficult. In this study, four Sprague Dawley (SD) rats were sacrificed by suffocation, and muscle samples were collected by dissection at various time intervals (0, 48, 96, and 144 h) after death. All samples were probed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) to obtain molecular images and data for principal component analysis (PCA). The results showed that the peaks at m/z 1511, 1543, 1564, 1586 clearly decreased in intensity from 0 to 144 h postmortem and that the time groups were separated from each other on the PCA score plot. The prediction model showed high recognition capability (95.93%) and cross-validation (83.72%). Our work suggests that MALDI-TOF MS can be used to determine the PMI.
在法医学中,估计死后间隔时间(PMI)非常重要。尽管已经使用了许多方法来估计PMI,但准确计算PMI仍然很困难。在本研究中,通过窒息法处死4只Sprague Dawley(SD)大鼠,并在死后不同时间间隔(0、48、96和144小时)通过解剖收集肌肉样本。使用基质辅助激光解吸/电离飞行时间质谱(MALDI-TOFMS)对所有样本进行探测,以获得用于主成分分析(PCA)的分子图像和数据。结果表明,在死后0至144小时内,质荷比(m/z)为1511、1543、1564、1586处的峰强度明显降低,并且在PCA得分图上不同时间组相互分离。预测模型显示出较高的识别能力(95.93%)和交叉验证能力(83.72%)。我们的工作表明,MALDI-TOF MS可用于确定PMI。