IntroductionThe estimation of post-mortem interval (PMI) remains a major challenge in forensic science. Most of the proposed approaches lack the reliability required to meet the rigorous forensic standards.ObjectivesWe applied H-1 NMR metabolomics to estimate PMI on ovine vitreous humour comparing the results with the actual scientific gold standard, namely vitreous potassium concentrations.MethodsVitreous humour samples were collected in a time frame ranging from 6 to 86 h after death. Experiments were performed by using H-1 NMR metabolomics and ion capillary analysis. Data were submitted to multivariate statistical data analysis.ResultsA multivariate calibration model was built to estimate PMI based on 47 vitreous humour samples. The model was validated with an independent test set of 24 samples, obtaining a prediction error on the entire range of 6.9 h for PMI < 24 h, 7.4 h for PMI between 24 and 48 h, and 10.3 h for PMI > 48 h. Time-related modifications of the H-1 NMR vitreous metabolomic profile could predict PMI better than potassium up to 48 h after death, whilst a combination of the two is better than the single approach for higher PMI estimation.ConclusionThe present study, although in a proof-of-concept animal model, shows that vitreous metabolomics can be a powerful tool to predict PMI providing a more accurate estimation compared to the widely studied approach based on vitreous potassium concentrations.

PMI estimation through metabolomics and potassium analysis on animal vitreous humour

Locci E.
Primo
;
Chighine A.
;
Ferino G.;Demontis R.;d'Aloja E.
2023-01-01

Abstract

IntroductionThe estimation of post-mortem interval (PMI) remains a major challenge in forensic science. Most of the proposed approaches lack the reliability required to meet the rigorous forensic standards.ObjectivesWe applied H-1 NMR metabolomics to estimate PMI on ovine vitreous humour comparing the results with the actual scientific gold standard, namely vitreous potassium concentrations.MethodsVitreous humour samples were collected in a time frame ranging from 6 to 86 h after death. Experiments were performed by using H-1 NMR metabolomics and ion capillary analysis. Data were submitted to multivariate statistical data analysis.ResultsA multivariate calibration model was built to estimate PMI based on 47 vitreous humour samples. The model was validated with an independent test set of 24 samples, obtaining a prediction error on the entire range of 6.9 h for PMI < 24 h, 7.4 h for PMI between 24 and 48 h, and 10.3 h for PMI > 48 h. Time-related modifications of the H-1 NMR vitreous metabolomic profile could predict PMI better than potassium up to 48 h after death, whilst a combination of the two is better than the single approach for higher PMI estimation.ConclusionThe present study, although in a proof-of-concept animal model, shows that vitreous metabolomics can be a powerful tool to predict PMI providing a more accurate estimation compared to the widely studied approach based on vitreous potassium concentrations.
2023
1H NMR metabolomics; Animal model; CIA; PMI, Potassium concentration; Vitreous humour
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/357138
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