Lower limits of detection of synchrotron radiation high-energy X-ray fluorescence spectrometry and its possibility for the forensic application for discrimination of glass fragments

Nakanishi, Tetsuya; Nishiwaki, Yoshinori; Miyamoto, Naoki; Shimoda, Osamu; Watanabe, Seiya; Muratsu, Seiji; Takatsu, Masahisa; Terada, Yasuko; Suzuki, Yasuhiro; Kasamatsu, Masaaki; Suzuki, Shinichi

doi:10.1016/j.forsciint.2007.07.001

Cited by 22 publications

(15 citation statements)

References 22 publications

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“…The detection limit depends in part on the instrument used to generate the spectrum, the detector used to collect the data, and the element that is being evaluated. Modern synchrotron stations permit trace-element analysis in the picogram range 116–118 . Collecting fluorescence spectra is a quick experiment to perform, which can confirm the presence of the desired metal in the sample, and also may show the presence of contaminant metals in addition to the metal of interest.…”

Section: Introductionmentioning

confidence: 99%

Characterizing metal-binding sites in proteins with X-ray crystallography

et al. 2018

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Metals have crucial roles in many physiological, pathological, toxicological, pharmaceutical, and diagnostic processes. Proper handling of metal-containing macromolecule samples for structural studies is not trivial, and failure to handle them properly is often a source of irreproducibility caused by issues such as pH changes, incorporation of unexpected metals, or oxidization/reduction of the metal. This protocol outlines the guidelines and best practices for characterizing metal-binding sites in protein structures and alerts experimenters to potential pitfalls during the preparation and handling of metal-containing protein samples for X-ray crystallography studies. The protocol features strategies for controlling the sample pH and the metal oxidation state, recording X-ray fluorescence (XRF) spectra, and collecting diffraction data sets above and below the corresponding metal absorption edges. This protocol should allow experimenters to gather sufficient evidence to unambiguously determine the identity and location of the metal of interest, as well as to accurately characterize the coordinating ligands in the metal binding environment within the protein. Meticulous handling of metal-containing macromolecule samples as described in this protocol should enhance experimental reproducibility in biomedical sciences, especially in X-ray macromolecular crystallography. For most samples, the protocol can be completed within a period of 7-190 d, most of which (2-180 d) is devoted to growing the crystal. The protocol should be readily understandable to structural biologists, particularly protein crystallographers with an intermediate level of experience.

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Section: Introductionmentioning

confidence: 99%

Characterizing metal-binding sites in proteins with X-ray crystallography

et al. 2018

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“…(1,61) Synchrotron radiation has been increasingly applied for the detection of trace elements to differentiate glass fragments. (58,59,62) amounts of heavy elements present in different samples; e.g. three different glass samples with matching RI values could be differentiated according to their Ce peak-area ratios, which were found to be 11.6 ± 0.3, 40.1 ± 0.1, and 524.9 ± 0.9.…”

Section: Glass and Soilmentioning

confidence: 99%

X‐Ray Fluorescence in Forensic ScienceUpdate based on the original article by Claude Roux and Chris Lennard,Encyclopedia of Analytical Chemistry, © 2000, John Wiley & Sons, Ltd.

Roux

Taudte

Lennard

2013

Encyclopedia of Analytical Chemistry

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This article describes the applications of X‐ray fluorescence (XRF) as an analytical tool in forensic science, including its limitations and practical aspects. The use of XRF is specifically discussed for the analysis of materials of forensic interest such as metals, gunshot residues (GSRs), paint, glass, soil, fibers, plastic and general polymers, documents, and miscellaneous types of evidence. Developments such as biological tissues micro‐XRF, 3‐D micro‐XRF — an adaptation of micro‐XRF — and total XRF are also described. These specialized techniques have highly desirable characteristics for the elemental profiling of a wide range of forensic samples, and hence we can anticipate that they will find significant use in forensic laboratories in the future.

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“…Imaging X Ray fluorescence is the evolution of point micro-XRF and allows to obtain spatial and compositional information simultaneously (Tsuji et al, 2005). This approach is actually applied in many different research areas, as: biology and medicine (Paunesku et al, 2006), cultural heritage (Rosi et al, 2004;Monico et al 2011;Pronti et al, 2015;, forensic research (Dhara et al, 2010;Nakanishi et al 2008), natural science . In this work, benchtop micro-XRF was utilized to identify and classify asbestos fibers (Bonifazi et al, 2015;Bonifazi et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Micro X-Ray Fluorescence Imaging Coupled With Chemometrics to Detect and Classify Asbestos Fibers in Demolition Waste

Serranti

Capobianco

Malinconico³

et al. 2020

Detritus

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Asbestos was largely used in the past by several countries all over the world. From 1900 to 1990 asbestos-containing materials (ACMs) were produced in large amounts and mainly utilized for the production of insulation, flame retardant materials, as well as to improve the mechanical and the chemical characteristics of construction materials. Its extensive use has therefore led to the presence of fibers in existing buildings and within the construction and demolition waste. A fast, reliable and accurate recognition of ACMs represents an important target to be reached. In this paper the use of micro X-ray fluorescence (micro-XRF) technique coupled with a statistical multivariate approach was applied and discussed with reference to ACMs characterization. Different elemental maps of the ACMs were preliminary acquired in order to evaluate distribution and composition of asbestos fibers, then samples energy spectra where collected and processed using chemometric methods to perform an automatic classification of the different typologies of asbestos fibers. Spectral data were analyzed using PLS-Toolbox™ (Eigenvector Research, Inc.) running into Matlab® (The Mathworks, Inc.) environment. An automatic classification model was then built and applied. Results showed that asbestos fibers were correctly identified and classified according to their chemical composition. The proposed approach, based on micro-XRF analysis combined with an automatic classification of the elemental maps, is not only effective and non-destructive, it is fast and it does not require the presence of a trained operator. The application of the developed methodology can help to correctly characterize and manage demolition waste where ACMs are present.

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Lower limits of detection of synchrotron radiation high-energy X-ray fluorescence spectrometry and its possibility for the forensic application for discrimination of glass fragments

Cited by 22 publications

References 22 publications

Characterizing metal-binding sites in proteins with X-ray crystallography

Characterizing metal-binding sites in proteins with X-ray crystallography

X‐Ray Fluorescence in Forensic ScienceUpdate based on the original article by Claude Roux and Chris Lennard,Encyclopedia of Analytical Chemistry, © 2000, John Wiley & Sons, Ltd.

Micro X-Ray Fluorescence Imaging Coupled With Chemometrics to Detect and Classify Asbestos Fibers in Demolition Waste

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