Evidence map›Paper›PMID 37494000›Full record

ArticleJournal of biophotonics2023

Raman spectroscopy for postmortem interval estimation of human skeletal remains: A scoping review.

C Woess, Christian W Huck, J Badzoka, C Kappacher, R Arora, R A Lindtner, Philipp Zelger, M Schirmer, W Rabl, Johannes Pallua

Abstract readScoping Review
In one paragraph

Article in Journal of biophotonics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Exploring the Post Mortem Interval (PMI) Estimation Model by circRNAInternational journal of molecular sciences · 2025
    Article
  8. Article
  9. Article
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

10 authors.

C WoessInstitute of Forensic Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Christian W HuckInstitute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Innsbruck, Austria.
J BadzokaInstitute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Innsbruck, Austria.
C KappacherInstitute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Innsbruck, Austria.
R AroraDepartment of Orthopaedics and Traumatology, Medical University of Innsbruck, Innsbruck, Austria.
R A LindtnerDepartment of Orthopaedics and Traumatology, Medical University of Innsbruck, Innsbruck, Austria.
Philipp ZelgerUniversity Clinic for Hearing, Voice and Speech Disorders, Medical University of Innsbruck, Innsbruck, Austria.
M SchirmerDepartment of Internal Medicine, Clinic II, Medical University of Innsbruck, Innsbruck, Austria.
W RablInstitute of Forensic Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Johannes PalluaDepartment of Orthopaedics and Traumatology, Medical University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0000-0003-0203-213X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Body RemainsPostmortem ChangesBone and BonesBurialHumansSpectrum Analysis, Ramanartificial intelligencechemometricsdeep learninghuman boneorthogonal partial least squares regressionpostmortem intervalprincipal component analysisRaman parametersRaman spectrometry

Identifiers

PMID37494000
PMCPMC13631402

What OpenQuestion holds

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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.