Raman spectroscopy for postmortem interval estimation of human skeletal remains: A scoping review
Estimating postmortem intervals (PMI) is crucial in forensic investigations, providing insights into criminal cases and determining the time of death. PMI estimation relies on expert experience and a combination of thanatological data and environmental factors but is prone to errors. The lack of rel...
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| Veröffentlicht in: | Journal of biophotonics 2023-10, Vol.16 (10), p.e202300189-n/a |
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| creator | Woess, C. Huck, Christian W. Badzoka, J. Kappacher, C. Arora, R. Lindtner, R. A. Zelger, Philipp Schirmer, M. Rabl, W. Pallua, Johannes |
| description | Estimating postmortem intervals (PMI) is crucial in forensic investigations, providing insights into criminal cases and determining the time of death. PMI estimation relies on expert experience and a combination of thanatological data and environmental factors but is prone to errors. The lack of reliable methods for assessing PMI in bones and soft tissues necessitates a better understanding of bone decomposition. Several research groups have shown promise in PMI estimation in skeletal remains but lack valid data for forensic cases. Current methods are costly, time‐consuming, and unreliable for PMIs over 5 years. Raman spectroscopy (RS) can potentially estimate PMI by studying chemical modifications in bones and teeth correlated with burial time. This review summarizes RS applications, highlighting its potential as an innovative, nondestructive, and fast technique for PMI estimation in forensic medicine.
Determining the postmortem interval (PMI) in forensic medicine is crucial for criminal investigations but challenging due to environmental factors affecting decomposition. Raman spectroscopy (RS) is a fast and objective method with valuable applications in estimating PMIs for forensic and anthropological analyses. This review emphasizes RS's significance in understanding bone decomposition and its contribution to analytical chemistry. |
| doi_str_mv | 10.1002/jbio.202300189 |
| format | Article |
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Determining the postmortem interval (PMI) in forensic medicine is crucial for criminal investigations but challenging due to environmental factors affecting decomposition. Raman spectroscopy (RS) is a fast and objective method with valuable applications in estimating PMIs for forensic and anthropological analyses. This review emphasizes RS's significance in understanding bone decomposition and its contribution to analytical chemistry.</description><identifier>ISSN: 1864-063X</identifier><identifier>EISSN: 1864-0648</identifier><identifier>DOI: 10.1002/jbio.202300189</identifier><identifier>PMID: 37494000</identifier><language>eng</language><publisher>Weinheim: WILEY‐VCH Verlag GmbH & Co. KGaA</publisher><subject>artificial intelligence ; Bones ; chemometrics ; deep learning ; Environmental factors ; Estimation ; Forensic science ; human bone ; Nondestructive testing ; orthogonal partial least squares regression ; postmortem interval ; principal component analysis ; Raman parameters ; Raman spectrometry ; Raman spectroscopy ; Soft tissues ; Spectroscopy ; Teeth</subject><ispartof>Journal of biophotonics, 2023-10, Vol.16 (10), p.e202300189-n/a</ispartof><rights>2023 The Authors. published by Wiley‐VCH GmbH.</rights><rights>2023 The Authors. Journal of Biophotonics published by Wiley-VCH GmbH.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3739-7242b9cd563588d922fa5760cc61bfe92864ffb4bd6b71c8bb5775e42b9b75913</citedby><cites>FETCH-LOGICAL-c3739-7242b9cd563588d922fa5760cc61bfe92864ffb4bd6b71c8bb5775e42b9b75913</cites><orcidid>0000-0003-0203-213X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjbio.202300189$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjbio.202300189$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37494000$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Woess, C.</creatorcontrib><creatorcontrib>Huck, Christian W.</creatorcontrib><creatorcontrib>Badzoka, J.</creatorcontrib><creatorcontrib>Kappacher, C.</creatorcontrib><creatorcontrib>Arora, R.</creatorcontrib><creatorcontrib>Lindtner, R. A.</creatorcontrib><creatorcontrib>Zelger, Philipp</creatorcontrib><creatorcontrib>Schirmer, M.</creatorcontrib><creatorcontrib>Rabl, W.</creatorcontrib><creatorcontrib>Pallua, Johannes</creatorcontrib><title>Raman spectroscopy for postmortem interval estimation of human skeletal remains: A scoping review</title><title>Journal of biophotonics</title><addtitle>J Biophotonics</addtitle><description>Estimating postmortem intervals (PMI) is crucial in forensic investigations, providing insights into criminal cases and determining the time of death. PMI estimation relies on expert experience and a combination of thanatological data and environmental factors but is prone to errors. The lack of reliable methods for assessing PMI in bones and soft tissues necessitates a better understanding of bone decomposition. Several research groups have shown promise in PMI estimation in skeletal remains but lack valid data for forensic cases. Current methods are costly, time‐consuming, and unreliable for PMIs over 5 years. Raman spectroscopy (RS) can potentially estimate PMI by studying chemical modifications in bones and teeth correlated with burial time. This review summarizes RS applications, highlighting its potential as an innovative, nondestructive, and fast technique for PMI estimation in forensic medicine.
Determining the postmortem interval (PMI) in forensic medicine is crucial for criminal investigations but challenging due to environmental factors affecting decomposition. Raman spectroscopy (RS) is a fast and objective method with valuable applications in estimating PMIs for forensic and anthropological analyses. This review emphasizes RS's significance in understanding bone decomposition and its contribution to analytical chemistry.</description><subject>artificial intelligence</subject><subject>Bones</subject><subject>chemometrics</subject><subject>deep learning</subject><subject>Environmental factors</subject><subject>Estimation</subject><subject>Forensic science</subject><subject>human bone</subject><subject>Nondestructive testing</subject><subject>orthogonal partial least squares regression</subject><subject>postmortem interval</subject><subject>principal component analysis</subject><subject>Raman parameters</subject><subject>Raman spectrometry</subject><subject>Raman spectroscopy</subject><subject>Soft tissues</subject><subject>Spectroscopy</subject><subject>Teeth</subject><issn>1864-063X</issn><issn>1864-0648</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNqFkM9P2zAYhq1piHaF646TpV12afn8K453K2gbICQkBBK3yHadzV0SZ3YC6n8_l0KRuHCyZT_vo-97EfpMYEEA6Mna-LCgQBkAKdUHNCVlwedQ8PLj_s7uJ-hTSmuAAphgh2jCJFccAKZI3-hWdzj1zg4xJBv6Da5DxH1IQxvi4Frsu8HFB91glwbf6sGHDoca_xmfgn9d44b8GV2rfZe-4yXeWnz3Oz89ePd4hA5q3SR3_HzO0N3PH7dn5_Or618XZ8uruWWSqbmknBplV6JgoixXitJaC1mAtQUxtVM071LXhptVYSSxpTFCSuG2ISOFImyGvu28fQz_xjxr1fpkXdPozoUxVbTklAvCOWT06xt0HcbY5ekyJRkloATP1GJH2VxMiq6u-pj3j5uKQLUtv9qWX-3Lz4Evz9rRtG61x1_azoDaAY--cZt3dNXl6cX1q_w_OWmRWQ</recordid><startdate>202310</startdate><enddate>202310</enddate><creator>Woess, C.</creator><creator>Huck, Christian W.</creator><creator>Badzoka, J.</creator><creator>Kappacher, C.</creator><creator>Arora, R.</creator><creator>Lindtner, R. A.</creator><creator>Zelger, Philipp</creator><creator>Schirmer, M.</creator><creator>Rabl, W.</creator><creator>Pallua, Johannes</creator><general>WILEY‐VCH Verlag GmbH & Co. KGaA</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SP</scope><scope>7SR</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>K9.</scope><scope>L7M</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0203-213X</orcidid></search><sort><creationdate>202310</creationdate><title>Raman spectroscopy for postmortem interval estimation of human skeletal remains: A scoping review</title><author>Woess, C. ; Huck, Christian W. ; Badzoka, J. ; Kappacher, C. ; Arora, R. ; Lindtner, R. A. ; Zelger, Philipp ; Schirmer, M. ; Rabl, W. ; Pallua, Johannes</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3739-7242b9cd563588d922fa5760cc61bfe92864ffb4bd6b71c8bb5775e42b9b75913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>artificial intelligence</topic><topic>Bones</topic><topic>chemometrics</topic><topic>deep learning</topic><topic>Environmental factors</topic><topic>Estimation</topic><topic>Forensic science</topic><topic>human bone</topic><topic>Nondestructive testing</topic><topic>orthogonal partial least squares regression</topic><topic>postmortem interval</topic><topic>principal component analysis</topic><topic>Raman parameters</topic><topic>Raman spectrometry</topic><topic>Raman spectroscopy</topic><topic>Soft tissues</topic><topic>Spectroscopy</topic><topic>Teeth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Woess, C.</creatorcontrib><creatorcontrib>Huck, Christian W.</creatorcontrib><creatorcontrib>Badzoka, J.</creatorcontrib><creatorcontrib>Kappacher, C.</creatorcontrib><creatorcontrib>Arora, R.</creatorcontrib><creatorcontrib>Lindtner, R. 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Several research groups have shown promise in PMI estimation in skeletal remains but lack valid data for forensic cases. Current methods are costly, time‐consuming, and unreliable for PMIs over 5 years. Raman spectroscopy (RS) can potentially estimate PMI by studying chemical modifications in bones and teeth correlated with burial time. This review summarizes RS applications, highlighting its potential as an innovative, nondestructive, and fast technique for PMI estimation in forensic medicine.
Determining the postmortem interval (PMI) in forensic medicine is crucial for criminal investigations but challenging due to environmental factors affecting decomposition. Raman spectroscopy (RS) is a fast and objective method with valuable applications in estimating PMIs for forensic and anthropological analyses. This review emphasizes RS's significance in understanding bone decomposition and its contribution to analytical chemistry.</abstract><cop>Weinheim</cop><pub>WILEY‐VCH Verlag GmbH & Co. KGaA</pub><pmid>37494000</pmid><doi>10.1002/jbio.202300189</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-0203-213X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | artificial intelligence Bones chemometrics deep learning Environmental factors Estimation Forensic science human bone Nondestructive testing orthogonal partial least squares regression postmortem interval principal component analysis Raman parameters Raman spectrometry Raman spectroscopy Soft tissues Spectroscopy Teeth |
| title | Raman spectroscopy for postmortem interval estimation of human skeletal remains: A scoping review |
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