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解决荧光中的自吸收问题。

Solving self-absorption in fluorescence.

作者信息

Trevorah Ryan M, Chantler Christopher T, Schalken Martin J

机构信息

School of Physics, University of Melbourne, Australia.

出版信息

IUCrJ. 2019 May 10;6(Pt 4):586-602. doi: 10.1107/S2052252519005128. eCollection 2019 Jul 1.

DOI:10.1107/S2052252519005128
PMID:31316803
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6608621/
Abstract

One of the most common types of experiment in X-ray absorption spectroscopy (XAS) measures the secondary inelastically scattered fluorescence photon. This widespread approach has a dominant systematic of self-absorption of the fluorescence photon. The large impact of self-absorption compromises accuracy, analysis and insight. Presented here is a detailed self-consistent method to correct for self-absorption and attenuation in fluorescence X-ray measurements. This method and the resulting software package can be applied to any fluorescence data, for XAS or any other experimental approach detecting fluorescence or inelastically scattered radiation, leading to a general solution applicable to a wide range of experimental investigations. The high intrinsic accuracy of the processed data allows these features to be well modelled and yields deeper potential insight.

摘要

X射线吸收光谱法(XAS)中最常见的实验类型之一是测量二次非弹性散射荧光光子。这种广泛应用的方法存在荧光光子自吸收这一主要系统误差。自吸收的巨大影响损害了测量的准确性、分析能力和深入洞察能力。本文提出了一种详细的自洽方法,用于校正荧光X射线测量中的自吸收和衰减。该方法及由此产生的软件包可应用于任何荧光数据,无论是用于XAS还是任何其他检测荧光或非弹性散射辐射的实验方法,从而提供一种适用于广泛实验研究的通用解决方案。处理后数据的高固有精度使这些特征能够得到很好的建模,并能带来更深入的潜在洞察。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/9b6ce7da05db/m-06-00586-fig13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/b8933217a9ca/m-06-00586-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/7f2edb98a6df/m-06-00586-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/6a3a00b815a8/m-06-00586-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/1bdfa41bd5f7/m-06-00586-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/7e14ce5a1bd2/m-06-00586-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/93a37372e80b/m-06-00586-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/afa145513dd0/m-06-00586-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/c7055ceaf49c/m-06-00586-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/28de1c8f1d4d/m-06-00586-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/eca42aa513fe/m-06-00586-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/346366b3f57f/m-06-00586-fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/fc4ce5cd4c39/m-06-00586-fig12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/9b6ce7da05db/m-06-00586-fig13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/b8933217a9ca/m-06-00586-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/7f2edb98a6df/m-06-00586-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/6a3a00b815a8/m-06-00586-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/1bdfa41bd5f7/m-06-00586-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/7e14ce5a1bd2/m-06-00586-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/93a37372e80b/m-06-00586-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/afa145513dd0/m-06-00586-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/c7055ceaf49c/m-06-00586-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/28de1c8f1d4d/m-06-00586-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/eca42aa513fe/m-06-00586-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/346366b3f57f/m-06-00586-fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/fc4ce5cd4c39/m-06-00586-fig12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86b/6608621/9b6ce7da05db/m-06-00586-fig13.jpg

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本文引用的文献

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Methods and methodology for FTIR spectral correction of channel spectra and uncertainty, applied to ferrocene.傅里叶变换红外光谱(FTIR)通道光谱校正方法及不确定性方法,应用于二茂铁
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Reinterpretation of Dynamic Vibrational Spectroscopy to Determine the Molecular Structure and Dynamics of Ferrocene.
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CatMass: software for calculating optimal sample masses for X-ray absorption spectroscopy experiments involving complex sample compositions.CatMass:用于计算涉及复杂样品成分的X射线吸收光谱实验的最佳样品质量的软件。
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