Loading…
Non-destructive age estimation of biological fluid stains: An integrated analytical strategy based on near-infrared hyperspectral imaging and multivariate regression
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...
Saved in:
Published in: | Talanta (Oxford) 2022-08, Vol.245, p.123472-123472, Article 123472 |
---|---|
Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | 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.
[Display omitted]
•Development of a novel non-destructive analytical method for dating biological fluids.•Blood, semen and urine analysed on both hydrophilic and hydrophobic fabric tissues.•Near-infrared hyperspectral imaging (HSI-NIR) integrated with multivariate regression.•Degradation of biological traces and interactions with the support investigated.•Critical discussion of the proposed approach in view of a practical implementation. |
---|---|
ISSN: | 0039-9140 1873-3573 |
DOI: | 10.1016/j.talanta.2022.123472 |