Statistical Modelling Investigation of MALDI-MSI-Based Approaches for Document Examination.
MALDI
documents
ink
machine learning
Journal
Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009
Informations de publication
Date de publication:
04 Jul 2023
04 Jul 2023
Historique:
received:
05
05
2023
revised:
21
06
2023
accepted:
30
06
2023
medline:
17
7
2023
pubmed:
14
7
2023
entrez:
14
7
2023
Statut:
epublish
Résumé
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:
Identifiants
pubmed: 37446869
pii: molecules28135207
doi: 10.3390/molecules28135207
pmc: PMC10343405
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : AUFF NOVA
ID : AUFF-E-2019-9-6
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