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作 者:王磊 王琪[4] 林汉成 黄平 邓恺飞 罗仪文 孙其然 张清华 王振原 孙俊红[2] 托娅 WANG Lei;WANG Qi;LIN Han-cheng;HUANG Ping;DENG Kai-fei;LUO Yi-wen;SUN Qi-ran;ZHANG Qing=hud;WANG Zhen-yuan;SUN Jun-hong;TUO Ya(School of Basic Medical Science,Shanghai University of Medicine and Health Sciences,Shanghai 201318,China;School of Forensic Medicine,Shanxi Medical University,Taiyuan 030001,China;Shanghai Key Laboratory of Forensic Medicine,Shanghai Forensic Service Platform,Academy of Forensic Science,Shanghai 200063,China;Technology Division of Criminal Investigation Department,Xi'an Public Security Bureau,Xi'an 710038,China;College of Forensic Science,Xi'an giaotong University Health Science Center,Xi'an 710061,China)
机构地区:[1]上海健康医学院基础医学院,上海201318 [2]山西医科大学法医学院,山西太原030001 [3]司法鉴定科学研究院上海市法医学重点实验室上海市司法鉴定专业技术服务平台,上海200063 [4]西安市公安局刑事侦查局技术处,陕西西安710038 [5]西安交通大学医学部法医学院,陕西西安710061
出 处:《法医学杂志》2018年第3期223-227,共5页Journal of Forensic Medicine
基 金:国家自然科学基金资助项目(81601645;81571852;81671869);"十三五"国家重点研发计划资助项目(2016YFC0800702);上海市法医学重点实验室资助项目(17DZ2273200);上海市司法鉴定专业技术服务平台资助项目(16DZ2290900)
摘 要:目的分析大鼠死后肾组织在不同温度下的傅里叶变换红外(Fourier transform infrared,FTIR)光谱数据,探究温度对死后大鼠肾组织FTIR光谱特征的影响。方法大鼠颈椎脱臼处死后置于4℃、20℃和30℃环境中,于不同时间点提取大鼠肾组织,采集FTIR光谱数据,并利用数据挖掘技术对数据进行分析。结果 4℃、20℃和30℃环境组中部分时间点样本主成分分析结果具有明显聚类趋势。分别利用三个温度组光谱数据建立偏最小二乘(partial least square,PLS)回归模型,结果 20℃和30℃组数据的PLS回归模型性能均优于4℃组,20℃组模型稳定性优于30℃组。结论大鼠死后肾组织在不同温度下的FTIR光谱特征具有差异,温度对FTIR光谱PLS回归模型性能具有重要影响,因此在利用光谱法推断死亡时间的研究中需要考虑温度对模型的影响,以提高死亡时间推断的准确性。Objective To analyse the Fourier transform infrared(FTIR) spectral data of renal tissue at different temperatures in rats after death,and to explore the effects of temperature on the FTIR spectral characteristics of renal tissue.Methods The rats were sacrificed by cervical dislocation and placed at 4 ℃,20 ℃ and 30 ℃.The FTIR spectral data of renal tissue were collected at different time points and analysed by data mining method.Results The principal component analysis(PCA) results showed that there were significant trends of clustering in the samples of partial time point at 4 ℃,20 ℃ and 30 ℃.Partial least square(PLS) regression models were established with the spectral data at three temperature groups.The performance of PLS regression models in 20 ℃ and 30 ℃ groups were more superior than that in 4 ℃group,and the stability of the model in 20 ℃ group was better than that in 30 ℃ group.Conclusion There are differences in the FTIR spectral characteristics of renal tissue of rats after death at different temperatures.Temperature has a major impact on the performance of FTIR spectral PLS regression model.Therefore,in order to improve the accuracy of postmortem interval estimation,the effects of temperature on the model should be considered in the related study by spectral method.
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