Non-destructive age estimation of biological fluid stains: An integrated analytical strategy based on near-infrared hyperspectral imaging and multivariate regression.

Aging estimation Biological fluid Forensic analysis Hyperspectral imaging (HSI) Near infrared (NIR) spectroscopy Partial least squares (PLS) regression

Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Aug 2022
Historique:
received: 02 03 2022
revised: 07 04 2022
accepted: 08 04 2022
pubmed: 25 4 2022
medline: 31 5 2022
entrez: 24 4 2022
Statut: ppublish

Résumé

From a criminalistic point of view, the accurate dating of biological traces found at the crime scene, together with its compatibility with the estimated crime perpetration timeframe, enables to limit the number of suspects by assessing their alibis and clarifying the sequence of events. The present study delineates, for the first time, the possibility of dating biological fluids such as semen and urine, as well as blood traces, by using a novel non-destructive analytical strategy based on hyperspectral imaging in the near infared region (HSI-NIR), coupled with multivariate regression methods. Investigated aspects of the present study include not only the progressive degradation of the biological trace itself, but also the effects of its interactions with the support on which it is absorbed, in particular the hydrophilic vs. hydrophobic character of fabric tissues. Results are critically discussed, highlighting potential and limitations of the proposed approach for a practical implementation.

Identifiants

pubmed: 35462136
pii: S0039-9140(22)00268-5
doi: 10.1016/j.talanta.2022.123472
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123472

Informations de copyright

Copyright © 2022. Published by Elsevier B.V.

Auteurs

Cristina Manis (C)

Dipartimento di Chimica, Università degli Studi di Torino, Torino, Italy.

Cristina Malegori (C)

Dipartimento di Farmacia (DIFAR), Università degli Studi di Genova, Genova, Italy.

Eugenio Alladio (E)

Dipartimento di Chimica, Università degli Studi di Torino, Torino, Italy; Centro Regionale Antidoping e di Tossicologia "A. Bertinaria", Orbassano, Italy.

Marco Vincenti (M)

Dipartimento di Chimica, Università degli Studi di Torino, Torino, Italy; Centro Regionale Antidoping e di Tossicologia "A. Bertinaria", Orbassano, Italy. Electronic address: marco.vincenti@unito.it.

Paolo Garofano (P)

Centro Regionale Antidoping e di Tossicologia "A. Bertinaria", Orbassano, Italy.

Filippo Barni (F)

Reparto Carabinieri Investigazioni Scientifiche, Sezione di Biologia, Roma, Italy.

Andrea Berti (A)

Reparto Carabinieri Investigazioni Scientifiche, Sezione di Biologia, Roma, Italy.

Paolo Oliveri (P)

Dipartimento di Farmacia (DIFAR), Università degli Studi di Genova, Genova, Italy. Electronic address: oliveri@difar.unige.it.

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Classifications MeSH