Literature DB >> 30831699

An improved laboratory-based x-ray absorption fine structure and x-ray emission spectrometer for analytical applications in materials chemistry research.

Evan P Jahrman1, William M Holden1, Alexander S Ditter1, Devon R Mortensen1, Gerald T Seidler1, Timothy T Fister2, Stosh A Kozimor3, Louis F J Piper4, Jatinkumar Rana4, Neil C Hyatt5, Martin C Stennett5.   

Abstract

X-ray absorption fine structure (XAFS) and x-ray emission spectroscopy (XES) are advanced x-ray spectroscopies that impact a wide range of disciplines. However, unlike the majority of other spectroscopic methods, XAFS and XES are accompanied by an unusual access model, wherein the dominant use of the technique is for premier research studies at world-class facilities, i.e., synchrotron x-ray light sources. In this paper, we report the design and performance of an improved XAFS and XES spectrometer based on the general conceptual design of Seidler et al. [Rev. Sci. Instrum. 85, 113906 (2014)]. New developments include reduced mechanical degrees of freedom, much-increased flux, and a wider Bragg angle range to enable extended x-ray absorption fine structure (EXAFS) measurement and analysis for the first time with this type of modern laboratory XAFS configuration. This instrument enables a new class of routine applications that are incompatible with the mission and access model of the synchrotron light sources. To illustrate this, we provide numerous examples of x-ray absorption near edge structure (XANES), EXAFS, and XES results for a variety of problems and energy ranges. Highlights include XAFS and XES measurements of battery electrode materials, EXAFS of Ni with full modeling of results to validate monochromator performance, valence-to-core XES for 3d transition metal compounds, and uranium XANES and XES for different oxidation states. Taken en masse, these results further support the growing perspective that modern laboratory-based XAFS and XES have the potential to develop a new branch of analytical chemistry.

Entities:  

Year:  2019        PMID: 30831699     DOI: 10.1063/1.5049383

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  6 in total

1.  Feasibility of Laboratory-Based EXAFS Spectroscopy with Cryogenic Detectors.

Authors:  Simon J George; Matthew H Carpenter; Stephan Friedrich; Robin Cantor
Journal:  J Low Temp Phys       Date:  2020-07-04       Impact factor: 1.570

2.  Structural Elucidation, Aggregation, and Dynamic Behaviour of N,N,N,N-Copper(I) Schiff Base Complexes in Solid and in Solution: A Combined NMR, X-ray Spectroscopic and Crystallographic Investigation.

Authors:  Isabelle Gerz; Sergio Augusto Venturinelli Jannuzzi; Knut T Hylland; Chiara Negri; David S Wragg; Sigurd Øien-Ødegaard; Mats Tilset; Unni Olsbye; Serena DeBeer; Mohamed Amedjkouh
Journal:  Eur J Inorg Chem       Date:  2021-10-29       Impact factor: 2.551

Review 3.  In Situ/Operando Electrocatalyst Characterization by X-ray Absorption Spectroscopy.

Authors:  Janis Timoshenko; Beatriz Roldan Cuenya
Journal:  Chem Rev       Date:  2020-09-28       Impact factor: 60.622

4.  HERMES - a GUI-based software tool for pre-processing of X-ray absorption spectroscopy data from laboratory Rowland circle spectrometers.

Authors:  Marco E Seddon-Ferretti; Lucy M Mottram; Martin C Stennett; Claire L Corkhill; Neil C Hyatt
Journal:  J Synchrotron Radiat       Date:  2022-01-01       Impact factor: 2.616

5.  Demonstration of Near Edge X-ray Absorption Fine Structure Spectroscopy of Transition Metals Using Xe/He Double Stream Gas Puff Target Soft X-ray Source.

Authors:  Tomasz Fok; Przemysław Wachulak; Łukasz Węgrzyński; Andrzej Bartnik; Michał Nowak; Piotr Nyga; Jerzy Kostecki; Barbara Nasiłowska; Wojciech Skrzeczanowski; Rafał Pietruszka; Karol Janulewicz; Henryk Fiedorowicz
Journal:  Materials (Basel)       Date:  2021-11-30       Impact factor: 3.623

6.  Effect of Reconstruction Algorithm on the Identification of 3D Printing Polymers Based on Hyperspectral CT Technology Combined with Artificial Neural Network.

Authors:  Zheng Fang; Renbin Wang; Mengyi Wang; Shuo Zhong; Liquan Ding; Siyuan Chen
Journal:  Materials (Basel)       Date:  2020-04-22       Impact factor: 3.623

  6 in total

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