Abstract

Estimation of the age of human bloodstains is of great importance in forensic practices, but it is a challenging task because of the lack of a well-accepted, reliable, and established method. Here, the attenuated total reflection (ATR)-Fourier transform infrared (FTIR) technique combined with advanced chemometric methods was utilized to determine the age of indoor and outdoor bloodstains up to 107 days. The bloodstain storage conditions mimicked crime scene scenarios as closely as possible. Two partial least squares regression models—indoor and outdoor models with 7–85 days—exhibited good performance for external validation, with low values of predictive root mean squared error (5.83 and 4.77) and high R2 values (0.94 and 0.96) and residual predictive deviation (4.08 and 5.14), respectively. Two partial least squares–discriminant analysis classification models were built and demonstrated excellent distinction between fresh (age ≤1 d) and older (age >1 d) bloodstains, which is highly valuable for forensic investigations. These findings demonstrate that ATR-FTIR spectroscopy coupled with advanced chemometric methods can be employed as a rapid and non-destructive tool for age estimation of bloodstains in real-world forensic investigation.

Details

Title
Estimation of the age of human bloodstains under the simulated indoor and outdoor crime scene conditions by ATR-FTIR spectroscopy
Author
Lin, Hancheng 1 ; Zhang, Yinming 2 ; Wang, Qi 2 ; Li, Bing 2 ; Huang, Ping 3 ; Wang, Zhenyuan 2 

 Department of Forensic Pathology, Xi’an Jiaotong University, Xi’an, P. R. China; Department of Forensic Pathology, Institute of Forensic Science, Ministry of Justice, Shanghai, P. R. China 
 Department of Forensic Pathology, Xi’an Jiaotong University, Xi’an, P. R. China 
 Department of Forensic Pathology, Institute of Forensic Science, Ministry of Justice, Shanghai, P. R. China 
Pages
1-9
Publication year
2017
Publication date
Oct 2017
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1957861252
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.