Evidence map›Paper›PMID 31172274›Full record

ArticleInternational journal of legal medicine2020

Separating forensic, WWII, and archaeological human skeletal remains using ATR-FTIR spectra.

Tamara Leskovar, Irena Zupanič Pajnič, Ivan Jerman, Matija Črešnar

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Article in International journal of legal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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6 citing papers in PubMed.

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5 · Who and what money

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4 authors.

Tamara LeskovarDepartment of Archaeology, Faculty of Arts, University of Ljubljana, Zavetiška 5, 1000, Ljubljana, Slovenia. tamara.leskovar@ff.uni-lj.si.ORCID http://orcid.org/0000-0002-4585-4726
Irena Zupanič PajničInstitute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia.
Ivan JermanNational Institute of Chemistry, Hajdrihova 19, 1001, Ljubljana, Slovenia.
Matija ČrešnarDepartment of Archaeology, Faculty of Arts, University of Ljubljana, Zavetiška 5, 1000, Ljubljana, Slovenia.

Funding

Javna Agencija za Raziskovalno Dejavnost RS J3-8214
6 · The paper itself

Abstract

ATR-FTIR spectroscopy is a fast and accessible, minimally or non-destructive technique which provides information on physiochemical characteristics of analyzed materials. In forensic and archaeological sciences, it is commonly used for answering numerous questions, including the archaeological or forensic context of the human skeletal remains. In this research, the accuracy of ATR-FTIR-obtained spectra for separation between forensic, WWII, and archaeological human skeletal remains was investigated. Building from the previously proposed methodological procedures, various ratio-based and whole spectra separation procedures were applied, carefully analyzed, and evaluated. Results showed that employing whole spectral domains works best for the separation of archaeological, WWII, and forensic samples, even with samples of highly variable origin. Principal component analysis (PCA) further highlighted the necessity of acknowledging all the major components in the remains: amides, phosphates, and carbonates for the separation. Most influential proved to be amide I, namely its secondary structure, which presented well-preserved and organized collagen structure in forensic and WWII samples, while highly degraded in archaeological samples. Using the whole spectral domain for separation between samples from different contexts proved to be fast and simple, with no manipulation beyond baseline correction and normalization of spectra necessary. However, a dataset with samples of known origin is required for the learning model and predictions. A less accurate alternative is separation based on combining ratios of peaks correlating to organics and minerals in the bone, which eliminated overlapping and managed to classify the majority of the samples correctly as archaeological, WWII, or forensic.

Indexed as

AmidesBody RemainsBone and BonesCarbonatesCollagenDatasets as TopicForensic SciencesHumansPhosphatesPrincipal Component AnalysisSloveniaSpectroscopy, Fourier Transform InfraredWorld War IIAmidesCarbonatesCollagenPhosphatesATR-FTIR spectroscopyForensicHuman skeletal remainsPhysiochemical composition of boneWWII archaeological remains

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.