二维红外光谱用于急性心肌缺血猝死的鉴别研究

目的采用衰减全反射-傅里叶变换红外光谱(ATR-FTIR)技术检测急性心肌缺血猝死大鼠的血清分子特征,探讨二维红外光谱鉴别急性心肌缺血猝死的法医学价值。方法成年雄性SD大鼠随机分为急性心肌缺血猝死组(实验组)和空气栓塞死组(对照组),血清样本行ATR-FTIR检测,应用OMNIC软件进行光谱预处理并求二阶导数光谱,分别计算两组原始光谱及二阶导数光谱的相似度,并应用Matlab R2010a软件建立二维光谱模型。结果实验组与对照组的大鼠血清的原始红外光谱在峰形、峰位、峰强度均极其相似,相似度达99.78%,二阶导数光谱显示出两者相似度降至98.62%,二维光谱模型显示两组光谱在1 625cm~(-1)、1 550cm~(-1)、1 080cm~(-1)及860cm~(-1)附近的成分差异,且它们的自动峰个数不相同,提示两组在蛋白质、糖原、核酸等分子含量存在较明显差异。结论仅从一维光谱上难以区分出两组的分子差异,二维红外光谱可以直观、有效地反映出急性心肌缺血猝死与空气栓塞死的大鼠血清分子差异,有望应用于法医学死因鉴别。

The identiifcation study on sudden unexpected death of acute myocardial ischemia by two-dimension infrared ;spectroscopy(

Objective To detect the molecular characteristics of the serum samples of rats suffered from sudden unexpected death of acute myocardial ischemia (experimental group) and death caused by air embolism (control group) applied by ATR-FTIR, and to discuss the forensic signiifcance of identiifcation of causes of death by sudden unexpected death of acute myocardial ischemia by two-dimension infrared spectroscopy. Methods Adult male SD rats were randomly divided into SCD group and DCAE group. The serum samples were analyzed by ATR-FTIR. The similarity coefifcient of spectra between two groups was analyzed by OMNIC software. The spectra with higher signal-noise ratio were obtained and used to build two-dimension spectra model by Matlab 2010a software. Results The peak shapes, positions and intensities of the spectra were extremely similar between two groups, and the similarity coefifcient reached 99.78%. Meanwhile, the similarity coefifcient of second derivative spectra decreased to 98.62% between two groups. Moreover, on the two-dimension spectra model, the component differences were present at about 1 625cm-1, 1 550cm-1, 1 080cm-1 and 860cm-1, and the number of auto-peaks was different, which suggested that the evident differences were related to the molecular contents of protein, glycogen, nuclear acid, and so on. Conclusion It is hard to differentiate the molecular differences of serum samples of rats between SCD and DACE based on one-dimension spectra. However, two-dimension infrared spectra could intuitively and effectively relfect the molecular differences, and it would apply to determining the cause of death in forensic science.