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S.M. Nefedova

I.M. Sechenov First Moscow State Medical University (Sechenov University)

I.A. Novikov

Krasnov Research Institute of Eye Diseases

M.V. Kravchik

M.M. Krasnov Research Institute of Eye Diseases

D.D. Zolotenkov

I.M. Sechenov First Moscow State Medical University (Sechenov University)

A.M. Subbot

M.M. Krasnov Research Institute of Eye Diseases

Yu.I. Pigolkin

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Age prediction based on the examination of bone tissue elemental composition using energy dispersive X-Ray spectroscopy

Authors:

S.M. Nefedova, I.A. Novikov, M.V. Kravchik, D.D. Zolotenkov, A.M. Subbot, Yu.I. Pigolkin

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Journal: Forensic Medical Expertise. 2023;66(4): 52‑57

DOI: 10.17116/sudmed20236604152

Read: 1671 times

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Table of contents

AGE PREDICTION BASED ON THE EXAMINATION OF BONE TISSUE ELEMENTAL COMPOSITION USING ENERGY DISPERSIVE X-RAY SPECTROSCOPY
AGE PREDICTION BASED ON THE EXAMINATION OF BONE TISSUE ELEMENTAL COMPOSITION USING ENERGY DISPERSIVE X-RAY SPECTROSCOPY

To cite this article:

Nefedova SM, Novikov IA, Kravchik MV, Zolotenkov DD, Subbot AM, Pigolkin YuI. Age prediction based on the examination of bone tissue elemental composition using energy dispersive X-Ray spectroscopy. Forensic Medical Expertise. 2023;66(4):52‑57. (In Russ.)
https://doi.org/10.17116/sudmed20236604152

Подписка 2026 Судебно-медицинская экспертиза (Forensic Medical Expertise)
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

THE AIM OF THE STUDY

Was to assess the possibility of using chemical analysis of bone mineral content by the means of an energy dispersive X-Ray spectroscopy to determine the age of unidentified corpses for forensic identification. A semi-quantative chemical microanalysis of bone fragments of 85 male and female corpses aged between 21 and 91 was done through the use of energy dispersive X-Ray spectrometer. The association of bone tissue apatite mineral composition with age is confirmed and a formula, connecting age and chemical composition change, is proposed. The possibility of using quantitive evaluation of chemical elements content in the normative mineral to determine the unidentified corpse’s age in a standard laboratory, equipped with an energy dispersive X-Ray spectrometer, was proved.

Keywords:

personal identification
age determination
mineral composition
elemental composition
bone tissue
energy dispersive X-Ray spectroscopy
SEM-EDS

Authors:

S.M. Nefedova

I.M. Sechenov First Moscow State Medical University (Sechenov University)

I.A. Novikov

Krasnov Research Institute of Eye Diseases

M.V. Kravchik

M.M. Krasnov Research Institute of Eye Diseases

D.D. Zolotenkov

I.M. Sechenov First Moscow State Medical University (Sechenov University)

A.M. Subbot

M.M. Krasnov Research Institute of Eye Diseases

Yu.I. Pigolkin

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Received:

01.12.2022

Accepted:

21.12.2022

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References:

  1. Glybochko PV, Pigolkin YuI, Nikolenko VN, Zolotenkova GV, Yefimov AA, Alekseyev YuD, Fedulova MV, Savenkova YeN, Kurzin LM, Goncharova NN, Iurchenko MA, Miroshnichenko NV. Sudebno-meditsinskaya diagnostika vozrasta. Moskva: Izdatelstvo PMGMU im. I.M. Sechenova; 2016. (In Russ.).
  2. Kildiushov YeM, Yegorova YeV, Dvornikov AS. Estimation of individual biological age in individual in forensic medicine (review). Sudebnaya meditsina. 2020;6(3):4-11. (In Russ.). https://doi.org/10.19048/fm317
  3. Pigolkin YuI, Zolotenkova GV, Berezovskiy DP. Methodological basis for determining a person’s age. Sudebno-meditsinskaya ekspertiza. 2020;63(3):45-50. (In Russ.). https://doi.org/10.17116/sudmed20206303145
  4. Pigolkin YuI, Poletayeva MP, Zolotenkova GV. Age determine by the age of the thyroid cartilage by the radiological method in forensic medicine. Rossiyskiy elektronnyy zhurnal luchevoy diagnostiki. 2017;7(4):23-29. (In Russ.). https://doi.org/10.21569/2222-7415-2017-7-4-23-29
  5. Shanbhogue VV, Brixen K, Hansen S. Age- and Sex-Related Changes in Bone Microarchitecture and Estimated Strength: A Three-Year Prospective Study Using HRpQCT. Journal of Bone and Mineral Research. 2016;31(8):1541-1549. https://doi.org/10.1002/jbmr.2817
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  7. Lo Re G, Zerbo S, Terranova MC, Pardo S, Midiri F, Argo A, Caruso G, Salerno S. Role of Imaging in the Assessment of Age Estimation. Seminars in Ultrasound, CT and MRI. 2019;40(1):51-55.  https://doi.org/10.1053/j.sult.2018.10.010
  8. Toutin R, Bilfeld MF, Raspaud C, Bec C, Telmon N, Savall F, Dedouit F. Contribution of the use of clavicle bone density in age estimation. International Journal of Legal Medicine. 2022;136(4):1017-1025. https://doi.org/10.1007/s00414-021-02741-6
  9. Greenwood C, Clement J, Dicken A, Evans P, Lyburn I, Martin RM, Stone N, Zioupos P, Rogers K. Femoral Head Trabecular Microarchitecture. Aging and disease. 2018;9(6):976-987.  https://doi.org/10.14336/AD.2018.0124
  10. Botha D, Lynnerup N, Steyn M. Age estimation using bone mineral density in South Africans. Forensic Science International. 2019;297(4):307-314.  https://doi.org/10.1016/j.forsciint.2019.02.020
  11. Tsitsiashvili AM, Panin AM, Zayratiants OV, Panin MG, Pustovgar AP, Kapyrin PD. Evaluation of elemental composition of bone tissue of the mandible in autopsy material by scanning electron microscopy with energy dispersive X-ray. Vestnik MGSU. 2011;2:447-456. (In Russ.).
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