Statistical Modelling Investigation of MALDI-MSI-Based Approaches for Document Examination.

Johan Kjeldbjerg Lassen, Robert Bradshaw, Palle Villesen, Simona Francese

Abstract read

In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–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

1 citing paper in PubMed.

MALDI-MSI: A potential game changer in forensic sciences.Forensic science, medicine, and pathology · 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.

Johan Kjeldbjerg LassenBioinformatics Research Center, Aarhus University, Universitetsbyen 81, 3. Building 1872, DK-8000 Aarhus, Denmark.

Robert BradshawCentre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK.ORCID 0000-0003-1533-2166

Palle VillesenBioinformatics Research Center, Aarhus University, Universitetsbyen 81, 3. Building 1872, DK-8000 Aarhus, Denmark.ORCID 0000-0001-7589-8781

Simona FranceseCentre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK.ORCID 0000-0002-1381-1262

Funding

AUFF NOVA AUFF-E-2019-9-6

6 · The paper itself

Abstract

Questioned document examination aims to assess if a document of interest has been forged. Spectroscopy-based methods are the gold standard for this type of evaluation. In the past 15 years, Matrix-Assisted Laser Desorption Ionisation-Mass Spectrometry Imaging (MALDI-MSI) has emerged as a powerful analytical tool for the examination of finger marks, blood, and hair. Therefore, this study intended to explore the possibility of expanding the forensic versatility of this technique through its application to questioned documents. Specifically, a combination of MALDI-MSI and chemometric approaches was investigated for the differentiation of seven gel pens, through their ink composition, over 44 days to assess:

Indexed as

Forensic MedicineModels, StatisticalSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionizationdocumentsinkmachine learningMALDI

Identifiers

PMID37446869

DOI10.3390/molecules28135207

PMCPMC10343405

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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 OpenQuestion graph.