Short and long time bloodstains age determination by colorimetric analysis: A pilot study

Alessandro Marrone; Daniele La Russa; Alberto Montesanto; Vincenzo Lagani; Mauro F. La Russa; Daniela Pellegrino

doi:10.3390/molecules26206272

Short and long time bloodstains age determination by colorimetric analysis: A pilot study

Alessandro Marrone, Daniele La Russa, Alberto Montesanto, Vincenzo Lagani, Mauro F. La Russa, Daniela Pellegrino

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Bloodstains found at crime scenes represent a crucial source of information for investigative purposes. However, in forensic practice, no technique is currently used to estimate the time from deposition of bloodstains. This preliminary study focuses on the age estimation of bloodstains by exploiting the color variations over time due to the oxidation of the blood. For this purpose, we used a colorimetric methodology in order to easily obtain objective, univocal and reproducible results. We developed two bloodstain age prediction algorithms: a short-term and a long-term useful model for the first 24h and 60 days, respectively. Both models showed high levels of classification accuracy, particularly for the long-term model. Although a small-scale study, these results improve the potential application of colorimetric analysis in the time-line reconstruction of violent criminal events.

Original language	English (US)
Journal	Molecules
Volume	26
Issue number	20
DOIs	https://doi.org/10.3390/molecules26206272
State	Published - Oct 2 2021
Externally published	Yes

ASJC Scopus subject areas

Organic Chemistry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/molecules26206272

Cite this

@article{f23a52ac43244ce281709f64c31f7cc5,

title = "Short and long time bloodstains age determination by colorimetric analysis: A pilot study",

abstract = "Bloodstains found at crime scenes represent a crucial source of information for investigative purposes. However, in forensic practice, no technique is currently used to estimate the time from deposition of bloodstains. This preliminary study focuses on the age estimation of bloodstains by exploiting the color variations over time due to the oxidation of the blood. For this purpose, we used a colorimetric methodology in order to easily obtain objective, univocal and reproducible results. We developed two bloodstain age prediction algorithms: a short-term and a long-term useful model for the first 24h and 60 days, respectively. Both models showed high levels of classification accuracy, particularly for the long-term model. Although a small-scale study, these results improve the potential application of colorimetric analysis in the time-line reconstruction of violent criminal events.",

author = "Alessandro Marrone and {La Russa}, Daniele and Alberto Montesanto and Vincenzo Lagani and {La Russa}, {Mauro F.} and Daniela Pellegrino",

note = "Generated from Scopus record by KAUST IRTS on 2023-09-23",

year = "2021",

month = oct,

day = "2",

doi = "10.3390/molecules26206272",

language = "English (US)",

volume = "26",

journal = "Molecules",

issn = "1420-3049",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "20",

}

TY - JOUR

T1 - Short and long time bloodstains age determination by colorimetric analysis: A pilot study

AU - Marrone, Alessandro

AU - La Russa, Daniele

AU - Montesanto, Alberto

AU - Lagani, Vincenzo

AU - La Russa, Mauro F.

AU - Pellegrino, Daniela

N1 - Generated from Scopus record by KAUST IRTS on 2023-09-23

PY - 2021/10/2

Y1 - 2021/10/2

N2 - Bloodstains found at crime scenes represent a crucial source of information for investigative purposes. However, in forensic practice, no technique is currently used to estimate the time from deposition of bloodstains. This preliminary study focuses on the age estimation of bloodstains by exploiting the color variations over time due to the oxidation of the blood. For this purpose, we used a colorimetric methodology in order to easily obtain objective, univocal and reproducible results. We developed two bloodstain age prediction algorithms: a short-term and a long-term useful model for the first 24h and 60 days, respectively. Both models showed high levels of classification accuracy, particularly for the long-term model. Although a small-scale study, these results improve the potential application of colorimetric analysis in the time-line reconstruction of violent criminal events.

AB - Bloodstains found at crime scenes represent a crucial source of information for investigative purposes. However, in forensic practice, no technique is currently used to estimate the time from deposition of bloodstains. This preliminary study focuses on the age estimation of bloodstains by exploiting the color variations over time due to the oxidation of the blood. For this purpose, we used a colorimetric methodology in order to easily obtain objective, univocal and reproducible results. We developed two bloodstain age prediction algorithms: a short-term and a long-term useful model for the first 24h and 60 days, respectively. Both models showed high levels of classification accuracy, particularly for the long-term model. Although a small-scale study, these results improve the potential application of colorimetric analysis in the time-line reconstruction of violent criminal events.

UR - https://www.mdpi.com/1420-3049/26/20/6272

UR - http://www.scopus.com/inward/record.url?scp=85117440075&partnerID=8YFLogxK

U2 - 10.3390/molecules26206272

DO - 10.3390/molecules26206272

M3 - Article

SN - 1420-3049

VL - 26

JO - Molecules

JF - Molecules

IS - 20

ER -

Short and long time bloodstains age determination by colorimetric analysis: A pilot study

Abstract

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this