Evidence map›Paper›PMID 41449258›Full record

ArticleInternational journal of legal medicine2026

Peptide ratios for post-mortem interval estimation using targeted liquid chromatography triple quadrupole mass spectrometry.

Jenna Ireland, Lana Brockbals, Dennis McNevin, Matthew P Padula, Maiken Ueland

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Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Jenna IrelandCentre for Forensic Sciences, School of Mathematical and Physical Sciences, University of Technology Sydney, Sydney, NSW, 2007, Australia.
Lana BrockbalsCentre for Forensic Sciences, School of Mathematical and Physical Sciences, University of Technology Sydney, Sydney, NSW, 2007, Australia.
Dennis McNevinCentre for Forensic Sciences, School of Mathematical and Physical Sciences, University of Technology Sydney, Sydney, NSW, 2007, Australia.
Matthew P PadulaSchool of Life Sciences, University of Technology Sydney, Sydney, NSW, 2007, Australia.
Maiken UelandCentre for Forensic Sciences, School of Mathematical and Physical Sciences, University of Technology Sydney, Sydney, NSW, 2007, Australia. maiken.ueland@uts.edu.au.ORCID http://orcid.org/0000-0002-9155-3502

Funding

Australian Research Council DE210100494
6 · The paper itself

Abstract

Postmortem interval (PMI) estimation is a critical component of forensic investigations as it can help establish a timeline of events and assist in reducing a pool of missing persons or potential suspects. Despite its importance, the accuracy of PMI estimation remains challenging due to the complexity of decomposition and limitations of current methods, particularly in the later postmortem period. Proteomics has shown potential as a more objective method, with current studies taking an untargeted approach to identify informative peptide targets. Previous studies in our laboratory analysed human muscle tissue and identified 12 peptide ratios, consisting of 19 individual peptides, that were correlated with decomposition time. This study aimed to optimise the detection of these 19 peptide targets using a targeted liquid chromatography triple quadrupole mass spectrometry (LC-QQQ) method suited for casework applications and instrument platforms commonly found in forensic laboratories. Of the 19 peptide targets, 17 were optimised to be reproducible. Additionally, a longitudinal analysis in authentic human samples was conducted over a 14-day period postmortem to monitor detection throughout the decomposition process. All but one of the targets produced interpretable results, and data analysis was performed to generate peptide ratios. After log2 transformation, two of the previously proposed peptide ratios showed linear trends. Overall, this study has shown that a targeted LC-QQQ method is a viable system for the detection of PMI peptide targets from human postmortem muscle tissue and has demonstrated the potential for this type of analysis to be validated and applied in routine forensic casework.

Indexed as

PeptidesPostmortem ChangesChromatography, LiquidHumansMaleMass SpectrometryMuscle, SkeletalProteomicsReproducibility of ResultsPeptidesAnalytical flow LCLC-MS/MSMusclePost-mortem intervalProteomicsTaphonomyTriple quadrupole mass spectrometry

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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 Socratic graph.