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MALDI Imaging of blood and blood provenance in old fingermarks
Poster Title: MALDI Imaging of blood and blood provenance in old fingermarks
Submitted on 08 Mar 2022
Author(s): Matthias Witt 1 Cameron Heaton, 2 Katie Kennedy, 2 Glenn Langenburg, 3 Simona Francese, 2
Affiliations: 1 Bruker Daltonics GmbH & Co. KG, Bremen, Germany 2 Sheffield Hallam University, Sheffield, UK 3 Bruker Elite Forensic Services, Saint Paul, MN, US
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Poster Information
Abstract: Reliable confirmation of the presence of blood in stains and marks is crucial to reconstruct the dynamics of a violent crime. MALDI MS Profiling (MALDI MSP) and MALDI MS Imaging (MALDI MSI) have been shown to be suitable confirmatory tests to this effect [1 4]. However, additional and important information is based on the attribution of the source of blood (animal or human), as a few murder cases in the public domain demonstrate. The Fingermark Research Group at Sheffield Hallam University, recently published on the validation of a MALDI MSP method to detect and distinguish between human and animal blood (down to the animal species level) in enhanced blood marks and stains analyzed in a blind fashion [5]. Here we use a combination of bottom up proteomics and MALDI MSI to visualize blood of bovine or human origin in 4 year old fingermarks. These are unused marks originating from the batch of blind samples on which the Kennedy et al. publication [5] was based.Summary: This short investigation confirmed the ability of MALDI MSI to image blood fingermarks and yield ridge detail in old fingermarks. This capability was contextual to detecting and imaging, for the first time, biomarkers enabling discrimination of non human blood with the clear indication of bovine blood. As the marks were 4 years old by the time they were imaged, these results show that, by using a high end mass spectrometer capable of high sensitivity, spatial and mass resolution, it may be possiReferences: [1] Bradshaw R et al. (2014), Sci . Just. J. Forensic Sci . Soc . 54, 110 117;
[2] Patel E et al. (2015), Analyst 141, 191 198
[3] Kamanna S et al. (2017), Rapid Commun. Mass Spectrom . 31, 1927 1937; [4] Deininger L et al. (2016), Proteomics 16, 1707 1717; [5] Kennedy et al. (2020), Scientific Reports 10, 17087 17104
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