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Forensic Science, Medicine and Pathology

, Volume 15, Issue 4, pp 521–527 | Cite as

An investigation on annular cartilage samples for post-mortem interval estimation using Fourier transform infrared spectroscopy

  • Zhouru Li
  • Jiao Huang
  • Zhenyuan WangEmail author
  • Ji ZhangEmail author
  • Ping HuangEmail author
Original Article

Abstract

Many attempts have been made to estimate the post-mortem interval (PMI) using bioanalytical methods based on multiple biological samples. Cartilage tissues could be used as an alternative for this purpose because their rate of degradation is slower than that of other soft tissue or biofluid samples. In this study, we applied Fourier transform infrared (FTIR) spectroscopy to acquire bioinformation from human annular cartilages within 30 days post-mortem. Principal component analysis (PCA) showed that sex and causes of death have almost no impact on the overall spectral variations caused by post-mortem changes. With pre-processing approaches, several predicted models were established using a conventional machine learning method, known as the partial least square (PLS) regression. The best model achieved a satisfactory prediction with a low error of 1.49 days using the second derivative transform of 3-point smoothing and extended multiplicative scatter correction (EMSC), and the spectral regions from proteins and carbohydrates contributed greatly to the PMI prediction. This study demonstrates the feasibility of cartilage-based FTIR analysis for PMI estimation. Further work will introduce advanced algorithms for more accurate and precise PMI prediction.

Keywords

Post-mortem interval Fourier transform infrared spectroscopy Annular cartilage Partial least square regression 

Notes

Funding

This study is supported by grants from the National Natural Science Foundation of China (81801873, 81730056, 81722027, 81601645 and 81671869), the National Key R&D Program of China (2016YFC0800702), and the Science and Technolo gy Committee of Shanghai Municipality (17DZ2273200 and 19DZ2292700).

Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical approval

This study was conducted with the approval of the ethics committee of the Institute of Forensic Sciences, Ministry of Justice, P.R. China.

Informed consent

Work involving the use of human specimens was performed after informed written consent was obtained from family members of the victims.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Forensic PathologyXi’an Jiaotong UniversityXi’anChina
  2. 2.Department of Forensic MedicineXuzhou Medical UniversityXuzhouChina
  3. 3.Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service PlatformAcademy of Forensic ScienceShanghaiChina

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