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Kjeldbjerg Lassen J, Bradshaw R, Villesen P, Francese S. Statistical Modelling Investigation of MALDI-MSI-Based Approaches for Document Examination. Molecules 2023; 28:5207. [PMID: 37446869 DOI: 10.3390/molecules28135207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 06/21/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
Questioned document examination aims to assess if a document of interest has been forged. Spectroscopy-based methods are the gold standard for this type of evaluation. In the past 15 years, Matrix-Assisted Laser Desorption Ionisation-Mass Spectrometry Imaging (MALDI-MSI) has emerged as a powerful analytical tool for the examination of finger marks, blood, and hair. Therefore, this study intended to explore the possibility of expanding the forensic versatility of this technique through its application to questioned documents. Specifically, a combination of MALDI-MSI and chemometric approaches was investigated for the differentiation of seven gel pens, through their ink composition, over 44 days to assess: (i) the ability of MALDI MSI to detect and image ink chemical composition and (ii) the robustness of the combined approach for the classification of different pens over time. The training data were modelled using elastic net logistic regression to obtain probabilities for each pen class and assess the time effect on the ink. This strategy led the classification model to yield predictions matching the ground truth. This model was validated using signatures generated by different pens (blind to the analyst), yielding a 100% accuracy in machine learning cross-validation. These data indicate that the coupling of MALDI-MSI with machine learning was robust for ink discrimination within the dataset and conditions investigated, which justifies further studies, including that of confounders such as paper brands and environmental factors.
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Affiliation(s)
- Johan Kjeldbjerg Lassen
- Bioinformatics Research Center, Aarhus University, Universitetsbyen 81, 3. Building 1872, DK-8000 Aarhus, Denmark
| | - Robert Bradshaw
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK
| | - Palle Villesen
- Bioinformatics Research Center, Aarhus University, Universitetsbyen 81, 3. Building 1872, DK-8000 Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, DK-8200 Aarhus, Denmark
| | - Simona Francese
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK
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In depth investigation of the capabilities and limitations of combined proteomic-MALDI MS based approach for the forensic detection of blood. Sci Justice 2022; 62:602-609. [DOI: 10.1016/j.scijus.2022.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/10/2022] [Accepted: 09/05/2022] [Indexed: 11/18/2022]
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Kennedy K, Cole L, Witt M, Sealey M, Francese S. Forensic Discrimination of Differentially Sourced Animal Blood Using a Bottom-Up Proteomics Based MALDI MS Approach. Molecules 2022; 27:molecules27072039. [PMID: 35408438 PMCID: PMC9000818 DOI: 10.3390/molecules27072039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/09/2022] [Accepted: 03/16/2022] [Indexed: 01/31/2023] Open
Abstract
Recently published work has reported the development and application of a bottom-up proteomic approach to distinguish between human and animal blood (down to animal species level), by rapid screening using Matrix Assisted Laser Desorption Ionisation Mass Spectrometry (MALDI MS). In that study, it was additionally observed that intravenous animal blood exhibits different spectral profiles from blood collected within the animal chest cavity as well as from the diluted blood collected within packets of meat. In this follow-up study we explored the resulting hypothesis that, depending on how blood is shed or collected, protein biomarker profiles vary to the extent of systematically permitting a distinction between possible sources of blood (for example, flesh wound versus packaged meat). This intelligence may be important in reconstructing the dynamics of the crime. The combination of statistical analysis and tandem mass spectrometry has yielded additional animal blood markers as well as confirming the ability to correctly determine the animal species from which blood derived, regardless of the retailer selling it (amongst the five investigated). These data confirm the initial hypothesis and demonstrate the opportunity for the proteomics-MALDI combined approach to provide additional intelligence to the investigation of violent crimes when examining blood evidence.
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Affiliation(s)
- Katie Kennedy
- Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK; (K.K.); (L.C.)
| | - Laura Cole
- Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK; (K.K.); (L.C.)
| | - Matthias Witt
- Bruker Daltonics GmbH & Co. KG, 28359 Bremen, Germany;
| | - Mark Sealey
- Defence Science and Technology Laboratories (DSTL), Porton Down SP4 0JQ, UK;
| | - Simona Francese
- Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK; (K.K.); (L.C.)
- Correspondence:
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Heaton C, Witt M, Cole L, Eyre J, Tazzyman S, McColm R, Francese S. Detection and mapping of haemoglobin variants in blood fingermarks by MALDI MS for suspect "profiling". Analyst 2021; 146:4290-4302. [PMID: 34105523 DOI: 10.1039/d1an00578b] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Over the past seven years Matrix Assisted Laser Desorption Ionisation Mass Spectrometry Profiling (MALDI MSP) and Imaging (MALDI MSI) have proven to be feasible tools for the detection of blood and its provenance in stains and fingermarks. However, whilst this capability as a confirmatory test addresses the primary questions at the scene of a violent crime, additional intelligence recoverable from blood can also prove important for investigations. A DNA profile is the most obvious and important example of such intelligence; however, it is not always suitable for identification purposes, depending on quantity, age and environmental conditions. Proteins are much more stable and determining the presence of haemoglobin variants in blood recovered at a crime scene may provide associative and possibly corroborating evidence on the presence of an individual at a particular location. This evidence gains more incriminatory value, the lower the incidence of the variant in a certain geographical area or population and may contribute to narrowing down the pool of suspects. In this study, a MALDI based mass spectrometric method has been developed and tested on six haemoglobin variants for their fast and reliable identification and mapping in blood fingermarks.
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Affiliation(s)
- Cameron Heaton
- Biomolecular Science Research Centre, Centre for Mass Spectrometry Imaging, Sheffield Hallam University, Sheffield, UK.
| | | | - Laura Cole
- Biomolecular Science Research Centre, Centre for Mass Spectrometry Imaging, Sheffield Hallam University, Sheffield, UK.
| | - Jason Eyre
- Sheffield Teaching Hospitals, Sheffield, UK
| | | | - Richard McColm
- Defence Science and Technology Laboratory, Porton Down, UK
| | - Simona Francese
- Biomolecular Science Research Centre, Centre for Mass Spectrometry Imaging, Sheffield Hallam University, Sheffield, UK.
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Kennedy K, Bengiat R, Heaton C, Herman Y, Oz C, Elad ML, Cole L, Francese S. "MALDI-CSI": A proposed method for the tandem detection of human blood and DNA typing from enhanced fingermarks. Forensic Sci Int 2021; 323:110774. [PMID: 33930825 DOI: 10.1016/j.forsciint.2021.110774] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 03/22/2021] [Accepted: 03/27/2021] [Indexed: 01/25/2023]
Abstract
Matrix Assisted Laser Desorption Ionization Mass Spectrometry Profiling and Imaging (MALDI MSP and MALDI MSI), in combination with bottom up proteomics, have proven to successfully detect and map blood-derived peptide signatures in blood fingermarks, with high specificity and compatibility with a number of blood enhancement techniques (BET). In the present study, the application of MALDI MSP and MSI to blood marks has been investigated further. In particular, the MALDI based detection and visualisation of blood has been explored in tandem with DNA typing. This investigation has been undertaken in a scenario simulating blood fingermarks on painted walls. In the present study, two sets of marks were analysed with each set comprising of a depletion series of four marks deposited on a surface treated to simulate painted walls: Set I - developed with Ninhydrin (NIN) and Set II- developed with Acid Black-1 (AB-1). For both sets, the application of MALDI MSP was successful in detecting haem and human specific haemoglobin peptide markers. MALDI MSI also provided molecular images by visualising haem on the ridge pattern enhanced by BET. The feasibility of successful and subsequent DNA profiling from the recovered fingermarks was also assessed for marks that had undergone enzymatic in situ digestion and MALDI MSI; it was observed that in 73% of the samples analysed, a DNA profile suitable for comparison was obtained. Based on these results, a possible operational workflow has been proposed incorporating the use of a MALDI MS based approach as a confirmatory test for human blood enabling subsequent DNA typing.
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Affiliation(s)
- Katie Kennedy
- Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK
| | - Ravell Bengiat
- Latent Fingerprint Laboratory, Division of Identification and Forensic Science (DIFS), Israel Police, National H.Q., Jerusalem 9780204, Israel
| | - Cameron Heaton
- Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK
| | - Yael Herman
- Biology & DNA Laboratory, Division of Identification and Forensic Science (DIFS), Israel Police, National H.Q., Jerusalem 9780204, Israel
| | - Carla Oz
- Biology & DNA Laboratory, Division of Identification and Forensic Science (DIFS), Israel Police, National H.Q., Jerusalem 9780204, Israel
| | - Michal Levin Elad
- Latent Fingerprint Laboratory, Division of Identification and Forensic Science (DIFS), Israel Police, National H.Q., Jerusalem 9780204, Israel
| | - Laura Cole
- Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK
| | - Simona Francese
- Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK.
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Abstract
Proteomics, the large-scale study of all proteins of an organism or system, is a powerful tool for studying biological systems. It can provide a holistic view of the physiological and biochemical states of given samples through identification and quantification of large numbers of peptides and proteins. In forensic science, proteomics can be used as a confirmatory and orthogonal technique for well-built genomic analyses. Proteomics is highly valuable in cases where nucleic acids are absent or degraded, such as hair and bone samples. It can be used to identify body fluids, ethnic group, gender, individual, and estimate post-mortem interval using bone, muscle, and decomposition fluid samples. Compared to genomic analysis, proteomics can provide a better global picture of a sample. It has been used in forensic science for a wide range of sample types and applications. In this review, we briefly introduce proteomic methods, including sample preparation techniques, data acquisition using liquid chromatography-tandem mass spectrometry, and data analysis using database search, spectral library search, and de novo sequencing. We also summarize recent applications in the past decade of proteomics in forensic science with a special focus on human samples, including hair, bone, body fluids, fingernail, muscle, brain, and fingermark, and address the challenges, considerations, and future developments of forensic proteomics.
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