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Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry

SIMPLE SUMMARY: Handheld NIR spectrometry represents a non-destructive method to estimate post-mortem interval with a short sample-preparation time. Based on a deep-learning technique for post-mortem interval approach (ranging from 1 day up to 2000 years) an estimation of post-mortem interval with a...

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Autores principales: Schmidt, Verena Maria, Zelger, Philipp, Wöss, Claudia, Huck, Christian Wolfgang, Arora, Rohit, Bechtel, Etienne, Stahl, Andreas, Brunner, Andrea, Zelger, Bettina, Schirmer, Michael, Rabl, Walter, Pallua, Johannes Dominikus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312135/
https://www.ncbi.nlm.nih.gov/pubmed/36101401
http://dx.doi.org/10.3390/biology11071020
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author Schmidt, Verena Maria
Zelger, Philipp
Wöss, Claudia
Huck, Christian Wolfgang
Arora, Rohit
Bechtel, Etienne
Stahl, Andreas
Brunner, Andrea
Zelger, Bettina
Schirmer, Michael
Rabl, Walter
Pallua, Johannes Dominikus
author_facet Schmidt, Verena Maria
Zelger, Philipp
Wöss, Claudia
Huck, Christian Wolfgang
Arora, Rohit
Bechtel, Etienne
Stahl, Andreas
Brunner, Andrea
Zelger, Bettina
Schirmer, Michael
Rabl, Walter
Pallua, Johannes Dominikus
author_sort Schmidt, Verena Maria
collection PubMed
description SIMPLE SUMMARY: Handheld NIR spectrometry represents a non-destructive method to estimate post-mortem interval with a short sample-preparation time. Based on a deep-learning technique for post-mortem interval approach (ranging from 1 day up to 2000 years) an estimation of post-mortem interval with an accuracy of almost 100% in bones is possible. ABSTRACT: Estimating the post-mortem interval (PMI) of human skeletal remains is a critical issue of forensic analysis, with important limitations such as sample preparation and practicability. In this work, NIR spectroscopy (NIRONE(®) Sensor X; Spectral Engines, 61449, Germany) was applied to estimate the PMI of 104 human bone samples between 1 day and 2000 years. Reflectance data were repeatedly collected from eight independent spectrometers between 1950 and 1550 nm with a spectral resolution of 14 nm and a step size of 2 nm, each from the external and internal bone. An Artificial Neural Network was used to analyze the 66,560 distinct diagnostic spectra, and clearly distinguished between forensic and archaeological bone material: the classification accuracies for PMIs of 0–2 weeks, 2 weeks–6 months, 6 months–1 year, 1 year–10 years, and >100 years were 0.90, 0.94, 0.94, 0.93, and 1.00, respectively. PMI of archaeological bones could be determined with an accuracy of 100%, demonstrating the adequate predictive performance of the model. Applying a handheld NIR spectrometer to estimate the PMI of human skeletal remains is rapid and extends the repertoire of forensic analyses as a distinct, novel approach.
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spelling pubmed-93121352022-07-26 Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry Schmidt, Verena Maria Zelger, Philipp Wöss, Claudia Huck, Christian Wolfgang Arora, Rohit Bechtel, Etienne Stahl, Andreas Brunner, Andrea Zelger, Bettina Schirmer, Michael Rabl, Walter Pallua, Johannes Dominikus Biology (Basel) Article SIMPLE SUMMARY: Handheld NIR spectrometry represents a non-destructive method to estimate post-mortem interval with a short sample-preparation time. Based on a deep-learning technique for post-mortem interval approach (ranging from 1 day up to 2000 years) an estimation of post-mortem interval with an accuracy of almost 100% in bones is possible. ABSTRACT: Estimating the post-mortem interval (PMI) of human skeletal remains is a critical issue of forensic analysis, with important limitations such as sample preparation and practicability. In this work, NIR spectroscopy (NIRONE(®) Sensor X; Spectral Engines, 61449, Germany) was applied to estimate the PMI of 104 human bone samples between 1 day and 2000 years. Reflectance data were repeatedly collected from eight independent spectrometers between 1950 and 1550 nm with a spectral resolution of 14 nm and a step size of 2 nm, each from the external and internal bone. An Artificial Neural Network was used to analyze the 66,560 distinct diagnostic spectra, and clearly distinguished between forensic and archaeological bone material: the classification accuracies for PMIs of 0–2 weeks, 2 weeks–6 months, 6 months–1 year, 1 year–10 years, and >100 years were 0.90, 0.94, 0.94, 0.93, and 1.00, respectively. PMI of archaeological bones could be determined with an accuracy of 100%, demonstrating the adequate predictive performance of the model. Applying a handheld NIR spectrometer to estimate the PMI of human skeletal remains is rapid and extends the repertoire of forensic analyses as a distinct, novel approach. MDPI 2022-07-06 /pmc/articles/PMC9312135/ /pubmed/36101401 http://dx.doi.org/10.3390/biology11071020 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Schmidt, Verena Maria
Zelger, Philipp
Wöss, Claudia
Huck, Christian Wolfgang
Arora, Rohit
Bechtel, Etienne
Stahl, Andreas
Brunner, Andrea
Zelger, Bettina
Schirmer, Michael
Rabl, Walter
Pallua, Johannes Dominikus
Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry
title Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry
title_full Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry
title_fullStr Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry
title_full_unstemmed Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry
title_short Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry
title_sort post-mortem interval of human skeletal remains estimated with handheld nir spectrometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312135/
https://www.ncbi.nlm.nih.gov/pubmed/36101401
http://dx.doi.org/10.3390/biology11071020
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