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Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy
Age-related changes in bone tissue have always been an important part of bone research, and age estimation is also of great significance in forensic work. In our study, FTIR and Raman microspectroscopy were combined to explore the structural and chronological age-related changes in the occipital bon...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440630/ https://www.ncbi.nlm.nih.gov/pubmed/36065391 http://dx.doi.org/10.1155/2022/1729131 |
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author | Yu, Kai Xiong, Hongli Wei, Xin Wu, Hao Zhang, Bo Wang, Gongji Yang, Xiaorong Wang, Zhenyuan |
author_facet | Yu, Kai Xiong, Hongli Wei, Xin Wu, Hao Zhang, Bo Wang, Gongji Yang, Xiaorong Wang, Zhenyuan |
author_sort | Yu, Kai |
collection | PubMed |
description | Age-related changes in bone tissue have always been an important part of bone research, and age estimation is also of great significance in forensic work. In our study, FTIR and Raman microspectroscopy were combined to explore the structural and chronological age-related changes in the occipital bones of 40 male donors. The FTIR micro-ATR mode not only achieves the comparison of FTIR and Raman efficiency but also provides a new pattern for the joint detection of FTIR and Raman in hard tissue. Statistical analysis and PCA results revealed that the structure had little effect on the FTIR and Raman results. The FTIR and Raman mineral/matrix ratio, carbonate/phosphate ratio, crystallinity, and collagen maturity of the whole showed an increasing trend during maturation, and a significant correlation was found between FTIR and Raman by comparing four outcomes. Furthermore, the results indicated that the cutoff point of the change in the relative proportion of organic matrix and inorganic minerals in males was between 19 and 35 years old, and the changes in the relative proportion of organic matrix and inorganic minerals may play a key role in age estimation. Ultimately, we established age estimation regression models. The FTIR GA-PLS regression model has the best performance and is more suitable for our experiment (RMSECV = 10.405, RMSEP = 9.2654, R(2)CV = 0.814, and R(2)Pred = 0.828). Overall, FTIR and Raman combined with chemometrics are an ideal method to estimate chronological age based on age-dependent component changes in male occipital bones. Our experiment provides a proof of concept and potential experimental method for chronological age estimation. |
format | Online Article Text |
id | pubmed-9440630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94406302022-09-04 Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy Yu, Kai Xiong, Hongli Wei, Xin Wu, Hao Zhang, Bo Wang, Gongji Yang, Xiaorong Wang, Zhenyuan Bioinorg Chem Appl Research Article Age-related changes in bone tissue have always been an important part of bone research, and age estimation is also of great significance in forensic work. In our study, FTIR and Raman microspectroscopy were combined to explore the structural and chronological age-related changes in the occipital bones of 40 male donors. The FTIR micro-ATR mode not only achieves the comparison of FTIR and Raman efficiency but also provides a new pattern for the joint detection of FTIR and Raman in hard tissue. Statistical analysis and PCA results revealed that the structure had little effect on the FTIR and Raman results. The FTIR and Raman mineral/matrix ratio, carbonate/phosphate ratio, crystallinity, and collagen maturity of the whole showed an increasing trend during maturation, and a significant correlation was found between FTIR and Raman by comparing four outcomes. Furthermore, the results indicated that the cutoff point of the change in the relative proportion of organic matrix and inorganic minerals in males was between 19 and 35 years old, and the changes in the relative proportion of organic matrix and inorganic minerals may play a key role in age estimation. Ultimately, we established age estimation regression models. The FTIR GA-PLS regression model has the best performance and is more suitable for our experiment (RMSECV = 10.405, RMSEP = 9.2654, R(2)CV = 0.814, and R(2)Pred = 0.828). Overall, FTIR and Raman combined with chemometrics are an ideal method to estimate chronological age based on age-dependent component changes in male occipital bones. Our experiment provides a proof of concept and potential experimental method for chronological age estimation. Hindawi 2022-08-26 /pmc/articles/PMC9440630/ /pubmed/36065391 http://dx.doi.org/10.1155/2022/1729131 Text en Copyright © 2022 Kai Yu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yu, Kai Xiong, Hongli Wei, Xin Wu, Hao Zhang, Bo Wang, Gongji Yang, Xiaorong Wang, Zhenyuan Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy |
title | Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy |
title_full | Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy |
title_fullStr | Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy |
title_full_unstemmed | Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy |
title_short | Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy |
title_sort | chronological age estimation of male occipital bone based on ftir and raman microspectroscopy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440630/ https://www.ncbi.nlm.nih.gov/pubmed/36065391 http://dx.doi.org/10.1155/2022/1729131 |
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