Evidence map›Paper›PMID 38540706›Full record

ArticleBiomolecules2024

Volabolomic Fingerprinting for Post-Mortem Interval Estimation: A Novel Physiological Approach.

Andrea Mazzatenta, Tiziana Pietrangelo, Roberto Demontis, Cristian D'Ovidio

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Adaptive Machine Learning for Electronic Nose-Based Forensic VOC Classification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  3. RedefiningFrontiers in microbiology · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Andrea MazzatentaNeuroscience, Imaging and Clinical Science Department, "G. d'Annunzio" University of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0001-5132-0029
Tiziana PietrangeloNeuroscience, Imaging and Clinical Science Department, "G. d'Annunzio" University of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0002-7507-1255
Roberto DemontisDipartimento di Scienze Mediche e Sanità Pubblica, Università degli Studi di Cagliari and Azienda Ospedaliero-Universitaria di Cagliari, 09123 Cagliari, Italy.ORCID 0000-0003-2306-9767
Cristian D'OvidioMedicine and Aging Sciences Department, "G. d'Annunzio" University of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0002-5801-8444
University of Chieti-Pescara · ITUniversity of Cagliari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Death is a multifaceted process wherein each individual cell and tissue has a metabolic homeostasis and a time of functional cessation defined by the dying process as well as by intrinsic and extrinsic factors. Decomposition is physiologically associated with the release of different types of volatile organic compounds (VOCs), and these form volaboloma mortis. The main purpose of this study was to record the volabolomic fingerprint produced by volatile molecules during the physiological decomposition process of human tissue and muscle cells. The volatile chemical signature has important implications for an open issue in forensics and pathology, namely the estimation of the postmortem interval (PMI), which decreases in accuracy with the passage of time. Volatile metabolites emitted from human tissues and muscle cells at 0, 24, 48, and 72 h were recorded in real time with an electronic nose sensor device. The key findings were the continuous sampling of VOCs emitted from tissues and cells. These showed a common behavior as time progressed; particularly, after 48 h the distributions became dispersed, and after 72 h they became more variable. Volabolomic fingerprinting associated with time progression relevant to the study of PMIs was reconstructed. Additionally, there may be broader applications, such as in dog training procedures for detecting human remains, and perhaps even for studying scavenger and insect attractants.

Indexed as

Postmortem ChangesAutopsyHumanse-noseforensic metabolomicsforensic sciencehuman decompositionPMIpost-mortem interval estimationskeletal musclevolabolomicsvolatile metabolite biomarkers

Identifiers

PMID38540706
PMCPMC10968422
OpenAlexW4392233888

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.