scholarly journals Human Age Estimation Through DNA Metilation Analysis Method from Bite Mark Samples in Forensic Identification


2019 ◽  
pp. 1-15
Author(s):  
Sarah Ellingham ◽  
Joe Adserias-Garriga


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daisuke Miyamori ◽  
Takeshi Uemura ◽  
Wenliang Zhu ◽  
Kei Fujikawa ◽  
Takaaki Nakaya ◽  
...  

AbstractThe recent increase of the number of unidentified cadavers has become a serious problem throughout the world. As a simple and objective method for age estimation, we attempted to utilize Raman spectrometry for forensic identification. Raman spectroscopy is an optical-based vibrational spectroscopic technique that provides detailed information regarding a sample’s molecular composition and structures. Building upon our previous proof-of-concept study, we measured the Raman spectra of abdominal skin samples from 132 autopsy cases and the protein-folding intensity ratio, RPF, defined as the ratio between the Raman signals from a random coil an α-helix. There was a strong negative correlation between age and RPF with a Pearson correlation coefficient of r = 0.878. Four models, based on linear (RPF), squared (RPF2), sex, and RPF by sex interaction terms, were examined. The results of cross validation suggested that the second model including linear and squared terms was the best model with the lowest root mean squared error (11.3 years of age) and the highest coefficient of determination (0.743). Our results indicate that the there was a high correlation between the age and RPF and the Raman biological clock of protein folding can be used as a simple and objective forensic age estimation method for unidentified cadavers.



2016 ◽  
Vol 294 ◽  
pp. 105-109
Author(s):  
Anna Woźniak ◽  

The article presents the previous and current methods and markers used for estimation of human age. The analysis of biological material recovered from the scene of the event makes it possible to estimate the age of a person who deposited traces. The new methods allow determining the depositor’s age, based on biological traces commonly found at the scene, such as blood, saliva or sperm, with an accuracy of a few years. The previously used age estimation techniques required larger quantities of biological material, whereas their prediction error amounted to even several decades.



2018 ◽  
Vol 9 (3) ◽  
pp. 222-236 ◽  
Author(s):  
Prachi Punyani ◽  
Rashmi Gupta ◽  
Ashwani Kumar


Author(s):  
DePeng Zheng ◽  
JiXiang Du ◽  
WenTao Fan ◽  
Jing Wang ◽  
ChuanMin Zhai


Author(s):  
Refat Khan Pathan ◽  
Mohammad Amaz Uddin ◽  
Nazmun Nahar ◽  
Ferdous Ara ◽  
Mohammad Shahadat Hossain ◽  
...  


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