The use of generalized linear mixed models to investigate postmortem lipids in textiles.

Collins, S; Maestrini, L; Hui, FKC; Stuart, B; Ueland, M

The use of generalized linear mixed models to investigate postmortem lipids in textiles.

Collins, S Maestrini, L Hui, FKC Stuart, B

Ueland, M

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Publisher:: CELL PRESS
Publication Type:: Journal Article
Citation:: iScience, 2023, 26, (8), pp. 107371
Issue Date:: 2023-08-18

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Field	Value	Language
dc.contributor.author	Collins, S
dc.contributor.author	Maestrini, L
dc.contributor.author	Hui, FKC
dc.contributor.author	Stuart, B https://orcid.org/0000-0001-9540-4435
dc.contributor.author	Ueland, M https://orcid.org/0000-0002-9155-3502
dc.date.accessioned	2024-01-31T04:57:26Z
dc.date.available	2023-07-10
dc.date.available	2024-01-31T04:57:26Z
dc.date.issued	2023-08-18
dc.identifier.citation	iScience, 2023, 26, (8), pp. 107371
dc.identifier.issn	2589-0042
dc.identifier.issn	2589-0042
dc.identifier.uri	http://hdl.handle.net/10453/175133
dc.description.abstract	Human remains are oftentimes located with textile materials, making them a ubiquitous source of physical evidence. Human remains are also frequently discovered in outdoor environments, increasing the exposure to scavenging activity and soft-tissue decomposition. In such cases, postmortem interval (PMI) estimations can be challenging for investigators when attempting to use traditional methods for reconstructive purposes. Lipid analysis is an emerging area of research in forensic taphonomy, with recent works demonstrating success with the detection and monitoring of lipids over time. In this work, generalized linear mixed models (GLMMs) were utilized to perform rigorous statistical analyses on 30 lipid outcomes in combination with accumulated-degree-days (ADD). The results of this study were consistent with recent works, indicating oleic and palmitic acids to be the most suitable lipids in textiles to target for future use as soft-tissue biomarkers of human decomposition. Interspecies differences between humans and pigs were also addressed in this work.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	CELL PRESS
dc.relation	http://purl.org/au-research/grants/arc/LE150100015
dc.relation	http://purl.org/au-research/grants/arc/DE210100494
dc.relation.ispartof	iScience
dc.relation.isbasedon	10.1016/j.isci.2023.107371
dc.rights	info:eu-repo/semantics/openAccess
dc.title	The use of generalized linear mixed models to investigate postmortem lipids in textiles.
dc.type	Journal Article
utslib.citation.volume	26
utslib.location.activity	United States
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Science
pubs.organisational-group	University of Technology Sydney/Strength - CFS - Centre for Forensic Science
pubs.organisational-group	University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	open_access	*
dc.rights.license	The use of generalized linear mixed models to investigate postmortem lipids in textiles.
dc.date.updated	2024-01-31T04:57:25Z
pubs.issue	8
pubs.publication-status	Published online
pubs.volume	26
utslib.citation.issue	8

Abstract:

Human remains are oftentimes located with textile materials, making them a ubiquitous source of physical evidence. Human remains are also frequently discovered in outdoor environments, increasing the exposure to scavenging activity and soft-tissue decomposition. In such cases, postmortem interval (PMI) estimations can be challenging for investigators when attempting to use traditional methods for reconstructive purposes. Lipid analysis is an emerging area of research in forensic taphonomy, with recent works demonstrating success with the detection and monitoring of lipids over time. In this work, generalized linear mixed models (GLMMs) were utilized to perform rigorous statistical analyses on 30 lipid outcomes in combination with accumulated-degree-days (ADD). The results of this study were consistent with recent works, indicating oleic and palmitic acids to be the most suitable lipids in textiles to target for future use as soft-tissue biomarkers of human decomposition. Interspecies differences between humans and pigs were also addressed in this work.

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http://hdl.handle.net/10453/175133