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Modellierung der Hämoglobindegeneration im UV-Vis-Bereich als Unterstützung der forensischen Altersschätzung von Blutflecken.

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Název: Modellierung der Hämoglobindegeneration im UV-Vis-Bereich als Unterstützung der forensischen Altersschätzung von Blutflecken. (German)
Alternate Title: Modelling of hemoglobin degeneration in the UV-Vis range as support for the forensic age estimation of bloodstains. (English)
Autoři: Bergmann, Tommy, Heinke, Florian, Thomas, Aurélien, Grabherr, Silke, Labudde, Dirk
Zdroj: Rechtsmedizin; Apr2025, Vol. 35 Issue 2, p89-100, 12p
Témata: ULTRAVIOLET-visible spectroscopy, CRIME scenes, BLOOD testing, BLOODSTAINS, STATISTICAL models
Abstract (English): Background: The forensic age estimation of bloodstains using UV-Vis spectroscopy is based on the degradation of hemoglobin derivatives and offers a promising method for crime scene work. However, environmental factors such as temperature, light and humidity complicate the practical application as they influence the ageing processes. Aim of the work: The aim of this thesis is the modeling of hemoglobin derivatives in aging bloodstains. Simulation-based spectra can be used to mathematically model blood ageing processes under different environmental conditions in order to improve forensic blood analysis. Methodology: Aging whole blood samples were analyzed under controlled conditions using UV-Vis spectroscopy. A statistical model was developed for modeling using the Hamiltonian Monte Carlo (HMC) method. The iterative process included the identification of spectral influences, their integration into the model and a stepwise optimization of the parameters. Results and discussion: The models allow a realistic simulation of the hemoglobin derivative curves, which agree well with experimental data. The results show the potential of statistical modeling to complement experimental investigations and improve forensic UV-Vis spectroscopy. Further work is needed to capture environmental influences in more detail. [ABSTRACT FROM AUTHOR]
Abstract (German): Zusammenfassung: Hintergrund: Die forensische Altersschätzung von Blutflecken mittels UV-Vis-Spektroskopie basiert auf der Degradation von Hämoglobinderivaten und bietet eine vielversprechende Methode für die Tatortarbeit. Allerdings erschweren Umweltfaktoren wie Temperatur, Licht und Feuchtigkeit die praktische Anwendung, da sie die Alterungsprozesse beeinflussen. Ziel der Arbeit: Ziel dieser Arbeit ist die Modellierung der Hämoglobinderivatverläufe in alternden Blutflecken. Durch simulationsbasierte Spektren können Blutalterungsprozesse unter verschiedenen Umweltbedingungen mathematisch abgebildet werden, um die forensische Blutanalyse zu verbessern. Methodik: Alternde Vollblutproben wurden unter kontrollierten Bedingungen mittels UV-Vis-Spektroskopie analysiert. Zur Modellierung wurde ein statistisches Modell mit der Hamiltonian-Monte-Carlo(HMC)-Methode entwickelt. Der iterative Prozess umfasste die Identifikation spektraler Einflüsse, deren Integration ins Modell und eine schrittweise Optimierung der Parameter. Ergebnisse und Diskussion: Die Modelle ermöglichen eine realitätsnahe Simulation der Hämoglobinderivatverläufe, die mit experimentellen Daten gut übereinstimmen. Die Ergebnisse zeigen das Potenzial statistischer Modellierung zur Ergänzung experimenteller Untersuchungen und Verbesserung der forensischen UV-Vis-Spektroskopie. Weitere Arbeiten sind nötig, um Umwelteinflüsse detaillierter zu erfassen. [ABSTRACT FROM AUTHOR]
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Databáze: Biomedical Index
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Abstrakt:Background: The forensic age estimation of bloodstains using UV-Vis spectroscopy is based on the degradation of hemoglobin derivatives and offers a promising method for crime scene work. However, environmental factors such as temperature, light and humidity complicate the practical application as they influence the ageing processes. Aim of the work: The aim of this thesis is the modeling of hemoglobin derivatives in aging bloodstains. Simulation-based spectra can be used to mathematically model blood ageing processes under different environmental conditions in order to improve forensic blood analysis. Methodology: Aging whole blood samples were analyzed under controlled conditions using UV-Vis spectroscopy. A statistical model was developed for modeling using the Hamiltonian Monte Carlo (HMC) method. The iterative process included the identification of spectral influences, their integration into the model and a stepwise optimization of the parameters. Results and discussion: The models allow a realistic simulation of the hemoglobin derivative curves, which agree well with experimental data. The results show the potential of statistical modeling to complement experimental investigations and improve forensic UV-Vis spectroscopy. Further work is needed to capture environmental influences in more detail. [ABSTRACT FROM AUTHOR]
ISSN:09379819
DOI:10.1007/s00194-025-00750-y