dc.contributor.author | Ortiz Herrero, Laura | |
dc.contributor.author | Uribe, Beatriz | |
dc.contributor.author | Hidalgo Armas, Laura | |
dc.contributor.author | Alonso Alonso, María Luz | |
dc.contributor.author | Sarmiento Romayor, Alfredo | |
dc.contributor.author | Irurita Olivares, Javier | |
dc.contributor.author | Alonso Rojas, Rosa María | |
dc.contributor.author | Maguregui Olabarria, Miren Itxaso | |
dc.contributor.author | Etxeberria Gabilondo, Francisco | |
dc.contributor.author | Bartolomé Moro, Luis Javier | |
dc.date.accessioned | 2024-05-22T17:01:32Z | |
dc.date.available | 2024-05-22T17:01:32Z | |
dc.date.issued | 2021-12 | |
dc.identifier.citation | Forensic Science International 329 : (2021) // Article ID 111087 | es_ES |
dc.identifier.issn | 1872-6283 | |
dc.identifier.issn | 0379-0738 | |
dc.identifier.uri | http://hdl.handle.net/10810/68112 | |
dc.description.abstract | An important demand exists in the field of forensic analysis to objectively determine the post-mortem interval (PMI) when human skeletal remains are discovered. It is widely known that bones undergo different chemical and physical processes after death, mainly due to their interaction with the environment in which they are found, although it is not known exactly what these processes consist of. Multiple techniques have been used so far to follow up these and other post-mortem changes and thus establish the time elapsed since the individual’s death, but they present important drawbacks in terms of reliability and accuracy. The aim of this research was to propose an analytical methodology capable of determining the PMI by using non-destructive Raman spectroscopy measurements of human skeletal remains. The recorded Raman spectra provided valuable and potentially useful information from which a multivariate study was performed by means of orthogonal partial least squares regression (OPLSR) in order to correlate the PMI with the detected spectral modifications. A collection of 53 real human skeletal remains with known PMI (15 years ≤ PMI ≤ 87 years) was analysed and used for building and validating the OPLS model. The PMI of 10 out of 14 validation samples could be determined with an accuracy error of less than 30%, demonstrating the adequate predictive performance of the OPLS model even in spite of the large inter-individual variability it handled. This opens up the possibility of applying the OPLS model in combination with non-destructive techniques to the determination of the PMI of human skeletal remains that have been buried in conditions similar or equal to those of cemetery niches and in a geographic location with a Mediterranean climate, which is an important achievement for forensic medicine and anthropology. | es_ES |
dc.description.sponsorship | The authors would like to thank the technician Bendición Funes from the Centre for Scientific Instrumentation (CIC) of the University of Granada for the technological support with the Raman equipment. The authors also thank the Advanced Research Facilities (SGIker) of the University of the Basque Country (UPV/EHU) for the human and technological support as well as the UPV/EHU (project GIU19/068) and Professor Ramón J. Barrio, director of the Doctorate Program in Forensic Analysis at the UPV/EHU, for the funds provided. L. Ortiz-Herrero thanks the UPV/EHU for the pre-doctoral fellowship. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | human bones | es_ES |
dc.subject | PMI | es_ES |
dc.subject | Raman spectroscopy | es_ES |
dc.subject | OPLSR | es_ES |
dc.title | Estimation of the post-mortem interval of human skeletal remains using Raman spectroscopy and chemometrics | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2021 The Authors. Published by Elsevier B.V.
CC_BY_NC_ND_4.0 | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0379073821004072 | es_ES |
dc.identifier.doi | 10.1016/j.forsciint.2021.111087 | |
dc.departamentoes | Especialidades médico-quirúrgicas | es_ES |
dc.departamentoes | Pintura | es_ES |
dc.departamentoes | Química analítica | es_ES |
dc.departamentoeu | Kimika analitikoa | es_ES |
dc.departamentoeu | Medikuntza eta kirurgia espezialitateak | es_ES |
dc.departamentoeu | Pintura | es_ES |