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de Cássia Mariotti K, Scorsatto Ortiz R, Flôres Ferrão M. Hyperspectral imaging in forensic science: an overview of major application areas. Sci Justice 2023; 63:387-395. [PMID: 37169464 DOI: 10.1016/j.scijus.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/08/2023] [Accepted: 04/02/2023] [Indexed: 04/09/2023]
Abstract
Analysis of evidence is a challenge. Crime scene materials are complex, diverse, sometimes of an unknown nature. Forensic science provides the most critical applications for their examination. Chemical tests, analytical methods, and techniques to process the evidence must be carefully selected by the forensic scientist. Ideally, it may be interpreted, analyzed, and judged in the original context of the crime scene. In this sense, hyperspectral imaging (HSI) has been employed as an analytical tool that maintains the integrity of the samples/objects for multiple and sequential analysis and for counter-proof exams. This paper is an overview of forensic science trends for the application of HSI techniques in the last ten years (2011-2021). The examination of documents was the main area of exploration, followed by bloodstain analysis aging process; trace analysis of explosives and gunshot residue. Chemometric tools were also addressed since they are crucial to obtain the most important information from the samples. There are great challenges in applying HSI in forensic science, but there have been clear technological and scientific advances, and a solid foundation has been built for the use of HSI in real-life cases.
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Logrado LPL, Silva MN, Laboissiere JCA, Braga JWB. Profile of explosives's use in ATMs/cash safes robberies in Brazil. J Forensic Sci 2022; 67:1441-1449. [PMID: 35514166 DOI: 10.1111/1556-4029.15056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 04/20/2022] [Accepted: 04/25/2022] [Indexed: 11/28/2022]
Abstract
This retrospective study reports data obtained by the Federal Police's National Institute of Criminalistics (INC-PF) relating to chemical analysis aimed at identifying explosives used in Automated teller machines (ATMs)/cash safes robberies between 2014 and 2020 in Brazil. 93 Real cases were studied and, based on the analysis carried out on the materials related to these cases, focusing on the type of explosive used, the following distribution profile was obtained: I) explosive mixtures based on chlorates and/or perchlorates (53%); explosive emulsion (22%); black gunpowder (13%); negative/inconclusive (11%) and organic - pentaerythritol tetranitrate (PETN) (1%). These results can contribute to investigations related to diversion/loss of explosives for criminal purposes, indicating, for example, through relationships between prevalence in the use of a certain type of explosive with a certain location, its possible origin (mining industry, explosive industries, fireworks factories, among others). The profile observed in the results can guide the selection of explosives to be studied in future research, as the possibilities are vast. Furthermore, despite the expressive number of occurrences in Brazil in the period of interest of this study, only a small fraction of samples was sent to the forensic chemistry laboratory to identify the explosive involved, which suggests that expanding chemical analysis should be encouraged in this field. In combination with an increase in professional training and collaboration trials between the laboratories, these activities can improve the chemical explosive's profile in Brazil, enabling the search for correlations between occurrences and contributing to the growth and development of this area.
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Affiliation(s)
- Lúcio Paulo Lima Logrado
- National Institute of Criminalistics, Brazilian Federal Police, Brasília, Brazil.,Institute of Chemistry, University of Brasília, Brasília, Brazil
| | - Marielly Nascimento Silva
- National Institute of Criminalistics, Brazilian Federal Police, Brasília, Brazil.,Institute of Chemistry, University of Brasília, Brasília, Brazil
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Mansoldo FRP, Berrino E, Guglielmi P, Carradori S, Carta F, Secci D, Supuran CT, Vermelho AB. An innovative spectroscopic approach for qualitative and quantitative evaluation of Mb-CO from myoglobin carbonylation reaction through chemometrics methods. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 267:120602. [PMID: 34801390 DOI: 10.1016/j.saa.2021.120602] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/13/2021] [Accepted: 11/07/2021] [Indexed: 06/13/2023]
Abstract
In this work, an innovative approach using K-means and multivariate curve resolution-purity based algorithm (MCR-Purity) for the evaluation and quantification of carboxymyoglobin (Mb-CO) formation from Deoxy-Myoglobin (Deoxy-Mb) was presented. Through a multilevel multifactor experimental design, samples with different concentrations of Mb-CO were created. The UV-Vis spectra of these samples were submitted to K-means analysis, finding 3 clusters. The mean spectra of the clusters were extracted and it was possible to detect 2 totally differentiable groups through peaks 423 and 434 nm, which are wavelengths related to the Mb-CO and Deoxy-Mb components, respectively. The spectral data were subjected to MCR-Purity analysis. The MCR-Purity result successfully described the analyzed reaction, explaining more than 99.9% of the variance (R2) with a LOF of 1.43%. Then, a predictive model of MbCO was created through the linear relationship between MCR-Purity contributions and known concentrations of MbCO. The performance parameters of the created predictive model were R2CV = 0.98, RMSECV = 0.58 and RPDcv = 7.8 for the training set, and R2P = 0.98, RMSEP = 0.7 and RPDp = 6.8 for the test set. Thus, the predictive model presented an excellent performance considering that the Mb-CO variation is comprised between 0 and 21 µM. Therefore, these results demonstrate that the application of the proposed strategy to the analysis of spectral data presenting overlapping bands is feasible and robust.
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Affiliation(s)
- Felipe R P Mansoldo
- Federal University of Rio de Janeiro (UFRJ), Institute of Microbiology Paulo de Góes, BIOINOVAR - Biocatalysis, Bioproducts and Bioenergy, Rio de Janeiro, Brazil
| | - Emanuela Berrino
- Università degli Studi di Firenze, NEUROFARBA Dept., Sezione di Scienze Farmaceutiche, Via Ugo Schiff 6, 50019 Sesto Fiorentino (Florence), Italy; Department of Drug Chemistry and Technologies, Sapienza University of Rome, P.le A. Moro 5, 00185 Rome, Italy
| | - Paolo Guglielmi
- Department of Drug Chemistry and Technologies, Sapienza University of Rome, P.le A. Moro 5, 00185 Rome, Italy
| | - Simone Carradori
- Department of Pharmacy, "G. d'Annunzio" University of Chieti-Pescara, via dei Vestini 31, 66100 Chieti, Italy
| | - Fabrizio Carta
- Università degli Studi di Firenze, NEUROFARBA Dept., Sezione di Scienze Farmaceutiche, Via Ugo Schiff 6, 50019 Sesto Fiorentino (Florence), Italy
| | - Daniela Secci
- Department of Drug Chemistry and Technologies, Sapienza University of Rome, P.le A. Moro 5, 00185 Rome, Italy
| | - Claudiu T Supuran
- Università degli Studi di Firenze, NEUROFARBA Dept., Sezione di Scienze Farmaceutiche, Via Ugo Schiff 6, 50019 Sesto Fiorentino (Florence), Italy
| | - Alane B Vermelho
- Federal University of Rio de Janeiro (UFRJ), Institute of Microbiology Paulo de Góes, BIOINOVAR - Biocatalysis, Bioproducts and Bioenergy, Rio de Janeiro, Brazil.
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Sauzier G, van Bronswijk W, Lewis SW. Chemometrics in forensic science: approaches and applications. Analyst 2021; 146:2415-2448. [PMID: 33729240 DOI: 10.1039/d1an00082a] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Forensic investigations are often reliant on physical evidence to reconstruct events surrounding a crime. However, there remains a need for more objective approaches to evidential interpretation, along with rigorously validated procedures for handling, storage and analysis. Chemometrics has been recognised as a powerful tool within forensic science for interpretation and optimisation of analytical procedures. However, careful consideration must be given to factors such as sampling, validation and underpinning study design. This tutorial review aims to provide an accessible overview of chemometric methods within the context of forensic science. The review begins with an overview of selected chemometric techniques, followed by a broad review of studies demonstrating the utility of chemometrics across various forensic disciplines. The tutorial review ends with the discussion of the challenges and emerging trends in this rapidly growing field.
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Affiliation(s)
- Georgina Sauzier
- School of Molecular and Life Sciences, Curtin University, GPO Box U1987, Perth, Western Australia 6845, Australia.
| | - Wilhelm van Bronswijk
- School of Molecular and Life Sciences, Curtin University, GPO Box U1987, Perth, Western Australia 6845, Australia.
| | - Simon W Lewis
- School of Molecular and Life Sciences, Curtin University, GPO Box U1987, Perth, Western Australia 6845, Australia.
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Ramachandran K, Kumari A, Nath Acharyya J, Chaudhary AK. Study of photo induced charge transfer mechanism of PEDOT with nitro groups of RDX, HMX and TNT explosives using anti-stokes and stokes Raman lines ratios. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 251:119360. [PMID: 33453599 DOI: 10.1016/j.saa.2020.119360] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 11/25/2020] [Accepted: 12/16/2020] [Indexed: 06/12/2023]
Abstract
The paper reports the charge transfer mechanism between poly (3,4-ethylenedioxythiophene) (PEDOT) and high energy materials such as RDX, HMX and TNT, respectively in terms of ratios of anti-stokes (AS) and stokes(S) Raman lines of NO2 bands. Generally it works as an effective sensing medium for the detection of explosives when mixed in an equal proportion and are subjected to 532 nm wavelength without any chemical treatment [1]. The pristine PEDOT is less sensitive to 532 nm wavelength (2.33 eV) but influences the Raman S and AS lines of explosives in the mixture. The study also reveals that a small quantity (one milligram) of PEDOT is sufficient to initiate the positive charge transfer mechanism between its oxidized state to the lone pairs of electrons on the oxygen atoms of the nitro group of the explosive molecules. Consequently, the intensity of the Raman spectra of RDX, HMX and TNT is dropped by an order of 22.5, 11.45 and 17.2 times, respectively along with the shift of the NO2 vibrational modes. It is also attributed to Photon-electron-phonon interaction. Finally, we have estimated the reduced mass of the functional group to ascertain the force constant and the intensity ratios of AS /S lines to confirm the charge transfer mechanism. The effect of charge transfer mechanism is also reflected in drastic change in transmission /absorption characteristics of FTIR spectra of same PEDOT and explosive mixtures.
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Affiliation(s)
- K Ramachandran
- Advanced Centre for Research in High Energy Materials, University of Hyderabad, Telangana, 500046, India; National Center for Physical Acoustics, The University of Mississippi, 145 Hill Drive University, MS 38677- 1848, United States
| | - Archana Kumari
- Advanced Centre for Research in High Energy Materials, University of Hyderabad, Telangana, 500046, India
| | - Jitendra Nath Acharyya
- Advanced Centre for Research in High Energy Materials, University of Hyderabad, Telangana, 500046, India; Department of Physics, Indian Institute of Technology, Hauz Khas, Delhi 110016, India
| | - A K Chaudhary
- Advanced Centre for Research in High Energy Materials, University of Hyderabad, Telangana, 500046, India.
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6
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Álvarez Á, Yáñez J. Screening of Gunshot Residue in Skin Using Attenuated Total Reflection Fourier Transform Infrared (ATR FT-IR) Hyperspectral Microscopy. APPLIED SPECTROSCOPY 2020; 74:400-407. [PMID: 31735068 DOI: 10.1177/0003702819892930] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The detection of gunshot residues (GSR) in skin is important in criminal forensic investigations related with firearms. Conventionally, the procedure is based on the detection of metallic or inorganic residues (IGSR). In this work, we propose attenuated total reflectance Fourier transform infrared (ATR FT-IR) hyperspectral microscopy as a complementary and nondestructive technique for detection of organic GSR (OGSR). The spectra were acquired from GSR of three ammunition manufacturers, which were collected from shooter's hands by the tape-lifting method. Before spectroscopic analysis, a Na-Ca bleach solution was added to all GSR samples on the tape for destroying skin debris. Positive detection of OGSR spectra were achieved by ATR FT-IR hyperspectral microscopy. Spectra show characteristic patterns of nitrate ester compounds which agrees with the propellant chemical composition. Characteristic ATR FT-IR spectral patterns of OGSR were measured from visualized GSR particles demonstrating the potential of ATR FT-IR hyperspectral microscopy.
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Affiliation(s)
- Ángela Álvarez
- Departamento de Química Analítica e Inorgánica, Laboratorio de Trazas Elementales y Especiación (LabTres), Facultad de Ciencias Químicas, Universidad de Concepción, Concepción, Chile
| | - Jorge Yáñez
- Departamento de Química Analítica e Inorgánica, Laboratorio de Trazas Elementales y Especiación (LabTres), Facultad de Ciencias Químicas, Universidad de Concepción, Concepción, Chile
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7
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Smith JP, Holahan EC, Smith FC, Marrero V, Booksh KS. A novel multivariate curve resolution-alternating least squares (MCR-ALS) methodology for application in hyperspectral Raman imaging analysis. Analyst 2019; 144:5425-5438. [PMID: 31407728 DOI: 10.1039/c9an00787c] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Multivariate curve resolution-alternating least squares (MCR-ALS) applied to hyperspectral Raman imaging is extensively used to spatially and spectrally resolve the individual, pure chemical species within complex, heterogeneous samples. A critical aspect of performing MCR-ALS with hyperspectral Raman imaging is the selection of the number of chemical components within the experimental data. Several methods have previously been proposed to determine the number of chemical components, but it remains a challenging task that if done incorrectly, can lead to the loss of chemical information. In this work, we show that the choice of 'optimal' number of factors in the MCR-ALS model may vary depending on the relative contribution of the targeted species to the overall spectral intensity. In a data set consisting of 27 hyperspectral Raman images of TiO2 polymorphs, it was observed that the more dominant species were best resolved with a parsimonious model. However, species with intensities near the noise level often needed more factors to be resolved than was predicted by standard methods. Based on the observations in this data set, we propose a new method that employs approximate reference spectra for determining optimal model complexity for identifying minor constituents with MCR-ALS.
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Affiliation(s)
- Joseph P Smith
- Analytical Research & Development, Merck Research Laboratories, Merck & Co., Inc., Rahway, NJ 07065, USA.
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Suppajariyawat P, Elie M, Baron M, Gonzalez-Rodriguez J. Classification of ANFO samples based on their fuel composition by GC–MS and FTIR combined with chemometrics. Forensic Sci Int 2019; 301:415-425. [DOI: 10.1016/j.forsciint.2019.06.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 05/17/2019] [Accepted: 06/03/2019] [Indexed: 11/15/2022]
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9
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Teixeira CA, Poppi RJ. Discriminating blue ballpoint pens inks in questioned documents by Raman imaging and mean-field approach independent component analysis (MF-ICA). Microchem J 2019. [DOI: 10.1016/j.microc.2018.10.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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10
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Non-Destructive Trace Detection of Explosives Using Pushbroom Scanning Hyperspectral Imaging System. SENSORS 2018; 19:s19010097. [PMID: 30597901 PMCID: PMC6339093 DOI: 10.3390/s19010097] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 12/19/2018] [Accepted: 12/23/2018] [Indexed: 01/02/2023]
Abstract
The aim of this study was to investigate the potential of the non-destructive hyperspectral imaging system (HSI) and accuracy of the model developed using Support Vector Machine (SVM) for determining trace detection of explosives. Raman spectroscopy has been used in similar studies, but no study has been published which is based on measurement of reflectance from hyperspectral sensor for trace detection of explosives. HSI used in this study has an advantage over existing techniques due to its combination of imaging system and spectroscopy, along with being contactless and non-destructive in nature. Hyperspectral images of the chemical were collected using the BaySpec hyperspectral sensor which operated in the spectral range of 400–1000 nm (144 bands). Image processing was applied on the acquired hyperspectral image to select the region of interest (ROI) and to extract the spectral reflectance of the chemicals which were stored as spectral library. Principal Component Analysis (PCA) and first derivative was applied to reduce the high dimensionality of the image and to determine the optimal wavelengths between 400 and 1000 nm. In total, 22 out of 144 wavelengths were selected by analysing the loadings of principal components (PC). SVM was used to develop the classification model. SVM model established on the whole spectrum from 400 to 1000 nm achieved an accuracy of 81.11%, whereas an accuracy of 77.17% with less computational load was achieved when SVM model was established on the optimal wavelengths selected. The results of the study demonstrate that the hyperspectral imaging system along with SVM is a promising tool for trace detection of explosives.
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11
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Pinheiro KMP, Moreira RC, Rezende KCA, Talhavini M, Logrado LPL, Baio JAF, Lanza MRV, Coltro WKT. Rapid separation of post-blast explosive residues on glass electrophoresis microchips. Electrophoresis 2018; 40:462-468. [DOI: 10.1002/elps.201800245] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 10/26/2018] [Accepted: 10/27/2018] [Indexed: 01/21/2023]
Affiliation(s)
| | - Roger C. Moreira
- Instituto de Química; Universidade Federal de Goiás; Goiânia GO Brazil
| | | | - Márcio Talhavini
- Instituto Nacional de Criminalística; Polícia Federal Brasileira; Brasília DF Brazil
| | | | - José A. F. Baio
- Instituto de Química de São Carlos; Universidade de São Paulo; São Carlos SP Brazil
| | - Marcos R. V. Lanza
- Instituto de Química de São Carlos; Universidade de São Paulo; São Carlos SP Brazil
| | - Wendell K. T. Coltro
- Instituto de Química; Universidade Federal de Goiás; Goiânia GO Brazil
- Instituto Nacional de Ciência e Tecnologia de Bioanalítica; Campinas SP Brazil
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13
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Khandasammy SR, Fikiet MA, Mistek E, Ahmed Y, Halámková L, Bueno J, Lednev IK. Bloodstains, paintings, and drugs: Raman spectroscopy applications in forensic science. Forensic Chem 2018. [DOI: 10.1016/j.forc.2018.02.002] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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14
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Ewing AV, Kazarian SG. Infrared spectroscopy and spectroscopic imaging in forensic science. Analyst 2018; 142:257-272. [PMID: 27905577 DOI: 10.1039/c6an02244h] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Infrared spectroscopy and spectroscopic imaging, are robust, label free and inherently non-destructive methods with a high chemical specificity and sensitivity that are frequently employed in forensic science research and practices. This review aims to discuss the applications and recent developments of these methodologies in this field. Furthermore, the use of recently emerged Fourier transform infrared (FT-IR) spectroscopic imaging in transmission, external reflection and Attenuated Total Reflection (ATR) modes are summarised with relevance and potential for forensic science applications. This spectroscopic imaging approach provides the opportunity to obtain the chemical composition of fingermarks and information about possible contaminants deposited at a crime scene. Research that demonstrates the great potential of these techniques for analysis of fingerprint residues, explosive materials and counterfeit drugs will be reviewed. The implications of this research for the examination of different materials are considered, along with an outlook of possible future research avenues for the application of vibrational spectroscopic methods to the analysis of forensic samples.
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Affiliation(s)
- Andrew V Ewing
- Department of Chemical Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
| | - Sergei G Kazarian
- Department of Chemical Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
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15
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Zapata F, García-Ruiz C. The discrimination of 72 nitrate, chlorate and perchlorate salts using IR and Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 189:535-542. [PMID: 28865354 DOI: 10.1016/j.saa.2017.08.058] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Revised: 08/03/2017] [Accepted: 08/19/2017] [Indexed: 06/07/2023]
Abstract
Inorganic oxidizing energetic salts including nitrates, chlorates and perchlorates are widely used in the manufacture of not only licit pyrotechnic compositions, but also illicit homemade explosive mixtures. Their identification in forensic laboratories is usually accomplished by either capillary electrophoresis or ion chromatography, with the disadvantage of dissociating the salt into its ions. On the contrary, vibrational spectroscopy, including IR and Raman, enables the non-invasive identification of the salt, i.e. avoiding its dissociation. This study focuses on the discrimination of all nitrate, chlorate and perchlorate salts that are commercially available, using both Raman and IR spectroscopy, with the aim of testing whether every salt can be unequivocally identified. Besides the visual spectra comparison by assigning every band with the corresponding molecular vibrational mode, a statistical analysis based on Pearson correlation was performed to ensure an objective identification, either using Raman, IR or both. Positively, 25 salts (out of 72) were unequivocally identified using Raman, 30 salts when using IR and 44 when combining both techniques. Negatively, some salts were undistinguishable even using both techniques demonstrating there are some salts that provide very similar Raman and IR spectra.
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Affiliation(s)
- Félix Zapata
- Department of Analytical Chemistry, Physical Chemistry and Chemical Engineering, University Institute of Research in Police Sciences (IUICP), University of Alcalá, Ctra. Madrid-Barcelona km 33.6, 28871 Alcalá de Henares (Madrid), Spain.
| | - Carmen García-Ruiz
- Department of Analytical Chemistry, Physical Chemistry and Chemical Engineering, University Institute of Research in Police Sciences (IUICP), University of Alcalá, Ctra. Madrid-Barcelona km 33.6, 28871 Alcalá de Henares (Madrid), Spain.
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Raman hyperspectral imaging in conjunction with independent component analysis as a forensic tool for explosive analysis: The case of an ATM explosion. Talanta 2017; 174:628-632. [DOI: 10.1016/j.talanta.2017.06.064] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 06/23/2017] [Accepted: 06/24/2017] [Indexed: 11/18/2022]
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17
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Analysis of different materials subjected to open-air explosions in search of explosive traces by Raman microscopy. Forensic Sci Int 2017; 275:57-64. [DOI: 10.1016/j.forsciint.2017.02.032] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Revised: 02/09/2017] [Accepted: 02/23/2017] [Indexed: 11/21/2022]
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18
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Zapata F, García-Ruiz C. Determination of Nanogram Microparticles from Explosives after Real Open-Air Explosions by Confocal Raman Microscopy. Anal Chem 2016; 88:6726-33. [DOI: 10.1021/acs.analchem.6b00927] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Félix Zapata
- Department of Analytical
Chemistry, Physical Chemistry and Chemical Engineering and University
Institute of Research in Police Sciences (IUICP), University of Alcalá, Ctra. Madrid-Barcelona Km. 33.6, 28871 Alcalá de Henares, Madrid, Spain
| | - Carmen García-Ruiz
- Department of Analytical
Chemistry, Physical Chemistry and Chemical Engineering and University
Institute of Research in Police Sciences (IUICP), University of Alcalá, Ctra. Madrid-Barcelona Km. 33.6, 28871 Alcalá de Henares, Madrid, Spain
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Chen J, Shi YE, Zhang M, Zhan J. Diethyldithiocarbamate (DDTC) induced formation of positively charged silver nanoparticles for rapid in situ identification of inorganic explosives by surface enhanced Raman spectroscopy. RSC Adv 2016. [DOI: 10.1039/c6ra06111g] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Diethyldithiocarbamate could induce the generation of positively charged silver nanoparticles for rapidin situdetection of the explosives with a portable Raman spectrometer.
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Affiliation(s)
- Juan Chen
- National Engineering Research Center for Colloidal Materials
- Key Laboratory for Colloid and Interface Chemistry of Ministry of Education
- Department of Chemistry
- Shandong University
- Jinan 250100
| | - Yu-e Shi
- National Engineering Research Center for Colloidal Materials
- Key Laboratory for Colloid and Interface Chemistry of Ministry of Education
- Department of Chemistry
- Shandong University
- Jinan 250100
| | - Min Zhang
- National Engineering Research Center for Colloidal Materials
- Key Laboratory for Colloid and Interface Chemistry of Ministry of Education
- Department of Chemistry
- Shandong University
- Jinan 250100
| | - Jinhua Zhan
- National Engineering Research Center for Colloidal Materials
- Key Laboratory for Colloid and Interface Chemistry of Ministry of Education
- Department of Chemistry
- Shandong University
- Jinan 250100
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20
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Correa DN, Zacca JJ, Rocha WFDC, Borges R, de Souza W, Augusti R, Eberlin MN, Vendramini PH. Anti-theft device staining on banknotes detected by mass spectrometry imaging. Forensic Sci Int 2015; 260:22-26. [PMID: 26784008 DOI: 10.1016/j.forsciint.2015.09.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2015] [Revised: 09/27/2015] [Accepted: 09/28/2015] [Indexed: 11/29/2022]
Abstract
We describe the identification and limits of detection of ink staining by mass spectrometry imaging (MSI), as used in anti-theft devices (ATDs). Such ink staining is applied to banknotes during automated teller machine (ATM) explosions. Desorption electrospray ionization (DESI) coupled with high-resolution and high-accuracy orbitrap mass spectrometry (MS) and a moving stage device were applied to obtain 2D molecular images of the major dyes used for staining, that is, 1-methylaminoanthraquinone (MAAQ), rhodamine B (RB) and rhodamine 6G (R6G). MAAQ could not be detected because of its inefficient desorption by DESI from the banknote cellulose surface. By contrast, ATD staining on banknotes is perceptible by the human naked eye only at concentrations higher than 0.2 μg cm(-2), whereas both RB and R6G at concentrations 200 times lower (as low as 0.001 μg cm(-2)) could be easily detected and imaged by DESI-MSI, with selective and specific identification of each analyte and their spatial distribution on samples from suspects. This technique is non-destructive, and no sample preparation is required, which ensures sample preservation for further forensic investigations.
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Affiliation(s)
- Deleon Nascimento Correa
- ThomSon Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas - UNICAMP, 13083-970 Campinas, SP, Brazil; Technical-Scientific Police Superintendency, Criminalistic Institute Dr. Octávio Eduardo de Brito Alvarenga - IC-SPTC-SP, 05507-06 São Paulo, SP, Brazil
| | - Jorge Jardim Zacca
- Brazilian Federal Police, Scientific and Technical Department - PF, 70037-900 Brasília, DF, Brazil
| | | | - Rodrigo Borges
- National Institute of Metrology, Quality and Technology - INMETRO, 25250-020 Rio de Janeiro, RJ, Brazil
| | - Wanderley de Souza
- National Institute of Metrology, Quality and Technology - INMETRO, 25250-020 Rio de Janeiro, RJ, Brazil
| | - Rodinei Augusti
- Department of Chemistry, Federal University of Minas Gerais - UFMG, 31270-901 Belo Horizonte, MG, Brazil
| | - Marcos Nogueira Eberlin
- ThomSon Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas - UNICAMP, 13083-970 Campinas, SP, Brazil
| | - Pedro Henrique Vendramini
- ThomSon Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas - UNICAMP, 13083-970 Campinas, SP, Brazil.
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Advances in explosives analysis--part II: photon and neutron methods. Anal Bioanal Chem 2015; 408:49-65. [PMID: 26446898 DOI: 10.1007/s00216-015-9043-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Accepted: 09/10/2015] [Indexed: 01/09/2023]
Abstract
The number and capability of explosives detection and analysis methods have increased dramatically since publication of the Analytical and Bioanalytical Chemistry special issue devoted to Explosives Analysis [Moore DS, Goodpaster JV, Anal Bioanal Chem 395:245-246, 2009]. Here we review and critically evaluate the latest (the past five years) important advances in explosives detection, with details of the improvements over previous methods, and suggest possible avenues towards further advances in, e.g., stand-off distance, detection limit, selectivity, and penetration through camouflage or packaging. The review consists of two parts. Part I discussed methods based on animals, chemicals (including colorimetry, molecularly imprinted polymers, electrochemistry, and immunochemistry), ions (both ion-mobility spectrometry and mass spectrometry), and mechanical devices. This part, Part II, will review methods based on photons, from very energetic photons including X-rays and gamma rays down to the terahertz range, and neutrons.
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Detection of green pea adulteration in pistachio nut granules by using Raman hyperspectral imaging. Eur Food Res Technol 2015. [DOI: 10.1007/s00217-015-2538-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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