Effects of Temperature on FTIR Spectral Characteristics of Renal Tissue in Rats after Death.
10.12116/j.issn.1004-5619.2018.03.001
- Author:
Lei WANG
1
;
Qi WANG
2
;
Han Cheng LIN
3
;
Ping HUANG
4
;
Kai Fei DENG
4
;
Yi Wen LUO
4
;
Qi Ran SUN
4
;
Qing Hua ZHANG
4
;
Zhen Yuan WANG
3
;
Jun Hong SUN
5
;
Ya TUO
1
Author Information
1. School of Basic Medical Science, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China.
2. Technology Division of Criminal Investigation Department, Xi'an Public Security Bureau, Xi'an 710038, China.
3. College of Forensic Science, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
4. Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
5. School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China.
- Publication Type:Journal Article
- Keywords:
forensic pathology;
kidney;
partial least square method;
postmortem interval;
principal component analysis;
rats;
spectroscopy, Fourier transform infrared;
temperature
- MeSH:
Animals;
Autopsy;
Death;
Postmortem Changes;
Rats;
Spectroscopy, Fourier Transform Infrared/methods*;
Temperature
- From:
Journal of Forensic Medicine
2018;34(3):223-227
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVES: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.
CONCLUSIONS: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.
