Effects of Temperature on FTIR Spectral Characteristics of Renal Tissue in Rats after Death#br#
WANG Lei1,2,3, WANG Qi4, LIN Han-cheng5, HUANG Ping3, DENG Kai-fei3, LUO Yi-wen3, SUN Qi-ran3, ZHANG Qing-hua3, WANG Zhen-yuan5, SUN Jun-hong2, TUO Ya1
1. School of Basic Medical Science, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China; 2. School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China; 3. Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China; 4. Technology Division of Criminal Investigation Department, Xi’an Public Security Bureau, Xi’an 710038, China; 5. College of Forensic Science, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China`
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.