Literature DB >> 31077976

Elemental imaging of trace elements in bone samples using micro and nano-X-ray fluorescence spectrometry.

C Streli1, M Rauwolf2, A Turyanskaya2, D Ingerle2, P Wobrauschek2.   

Abstract

Our group employs micro- and nano-X-ray fluorescence spectrometry (XRF) for the investigation of bone tissue. The manuscript presents the results of 3 various projects, in which spatial distribution of trace elements in bone samples was studied. The first study investigated the distribution of the elemental constituents of Mg-based implants at various stages of the degradation process in surrounding bone tissue with a focus on magnesium (Mg) and yttrium (Y). The analysis was performed in laboratory of Atominstitut using a special micro-XRF spectrometer for light element detection. The second study is devoted to the spatial distribution of Zn in high-grade sclerosing osteosarcoma mapped by confocal synchrotron radiation induced micro-XRF. Tumor zinc levels were compared with adjacent normal tissue. For discrimination between healthy and diseased bone quantitative backscattered electron imaging was used. The third experiment demonstrates the performance of synchrotron radiation induced nano-XRF with beam size of about 500 nm for bone tissue investigation. Special emphasis is set to advantages of micro- and nano-XRF in bone analysis as well as overcoming possible limitations.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 31077976     DOI: 10.1016/j.apradiso.2019.04.033

Source DB:  PubMed          Journal:  Appl Radiat Isot        ISSN: 0969-8043            Impact factor:   1.513


  2 in total

Review 1.  Quantitative imaging approaches to understanding biological processing of metal ions.

Authors:  David Z Zee; Keith W MacRenaris; Thomas V O'Halloran
Journal:  Curr Opin Chem Biol       Date:  2022-05-11       Impact factor: 8.972

Review 2.  Disease Ionomics: Understanding the Role of Ions in Complex Disease.

Authors:  Yan Zhang; Yinzhen Xu; Lin Zheng
Journal:  Int J Mol Sci       Date:  2020-11-17       Impact factor: 5.923

  2 in total

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