In depth investigation of the capabilities and limitations of combined proteomic-MALDI MS based approach for the forensic detection of blood

Kennedy, Katie; Gannicliffe, Chris; Cole, Laura; Sealey, Mark; Francese, Simona

doi:10.1016/j.scijus.2022.09.001

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…In particular, seven black gel pens were selected, the ink of each of which was indistinguishable by the eye (except for pen 6 after MALDI matrix deposition, which bled into the paper and changed colour; data not shown). The MALDI-MSI data of these gel pen ink strokes were acquired in triplicate from 10 × 10 pixels areas per stroke across 14 time points (0, 3,7,9,13,17,20,24,28,31,35,38,41, and 44 days) spanning 44 days (mean = 22.1; SD = 14.2) (Figure 1). From each replicate image, an average mass spectrum was exported, yielding 294 observations in total.…”

Section: Resultsmentioning

confidence: 99%

“…The ink sample dataset was generated by drawing one line each at 2-4-day intervals over the sampling period of 44 days (0, 3,7,9,13,17,20,24,28,31,35,38,41, and 44 days) on a sheet of paper (Table 2). Before ink deposition, each pen was primed to ensure consistent ink deposition.…”

Section: Generation Of Sample Datasetsmentioning

confidence: 99%

“…In this study, a combination of Matrix-Assisted Laser Desorption Ionisation–Mass Spectrometry Imaging (MALDI-MSI) and chemometrics was used to investigate the hypothesis that this combined method could differentiate the ink of seven ballpoint pens. MALDI-MSI was selected due to its demonstrated ability to provide intelligence in an operational context in regards to finger marks [ 24 , 25 , 26 ] and blood [ 27 , 28 , 29 ] as well as hair [ 30 ]. In its profiling modality, it has also shown promise for ink analysis [ 31 , 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

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Statistical Modelling Investigation of MALDI-MSI-Based Approaches for Document Examination

et al. 2023

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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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Section: Resultsmentioning

confidence: 99%

Section: Generation Of Sample Datasetsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Statistical Modelling Investigation of MALDI-MSI-Based Approaches for Document Examination

et al. 2023

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“…2021 年, Heaton 等 [83] 指出 MALDI 仪器在快速检测、识别血指印中六种血红蛋白变体(Hb var)方面具有良好效果, 可用于提供额外的嫌疑人人身信息. 2022 年 , Kennedy 等 [84] 对基于…”

Section: 基质辅助激光解吸电离质谱技术unclassified

血指印检测技术研究进展

Peng,

Zhang,

Zhang

2024

Sci. Sin.-Chim

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Blood fingermark, as a common piece of evidence at crime scenes, plays an important role in personal recognition, crime scene reconstruction, and criminal investigation. In recent years, with the deep integration of blood fingermark detection and new reagents, advanced materials, modern analytical methods as well as immunological techniques, the sensitivity, specificity, contrast and applicability of blood fingermark detection have been continuously improved. Moreover, greater breakthroughs have been made in the analysis of endogenous and exogenous fingermark components, the compatibility of touch DNA, and identification of fingermark aging time. This paper outlines the research progress of blood fingermark detection technology both domestically and internationally, which includes not only traditional chemical reagents based on the mechanism of haem catalysis, protein staining and amino acid reaction, but also emerging methods based on novel materials and devices. A brief analysis of the advantages and disadvantages of each method is discussed, and finally, a prospective outlook is presented on the challenges and future prospects of existing techniques, aiming to offer guidance for scholars and practitioners in forensic science.

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