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Title: Robust framework and software implementation for fast speciation mapping

Journal Article · · Journal of Synchrotron Radiation (Online)
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [1]
  1. Univ. Paris-Saclay, Saint-Aubin (France). CNRS, Ministere de la Culture, UVSQ, IPANEMA
  2. SLAC National Accelerator Lab., Menlo Park, CA (United States). Stanford Synchrotron Radiation Lightsource (SSRL)
  3. Univ. Paris-Saclay, Saint-Aubin (France). CNRS, Ministere de la Culture, UVSQ, IPANEMA; Synchrotron SOLEIL, Gif-sur-Yvette (France); Univ. of Lausanne (Switzerland)
  4. Univ. Paris Descartes, Paris (France). Lab. de Biomathematiques; Hopital Saint-Louis, Assistance Publique Hopitaux de Paris (France)

One of the greatest benefits of synchrotron radiation is the ability to perform chemical speciation analysis through X-ray absorption spectroscopies (XAS). XAS imaging of large sample areas can be performed with either full-field or raster-scanning modalities. A common practice to reduce acquisition time while decreasing dose and/or increasing spatial resolution is to compare X-ray fluorescence images collected at a few diagnostic energies. In this work, several authors have used different multivariate data processing strategies to establish speciation maps. Furthermore, the theoretical aspects and assumptions that are often made in the analysis of these datasets are focused on. A robust framework is developed to perform speciation mapping in large bulk samples at high spatial resolution by comparison with known references. Two fully operational software implementations are provided: a user-friendly implementation within the MicroAnalysis Toolkit software, and a dedicated script developed under the R environment. The procedure is exemplified through the study of a cross section of a typical fossil specimen. Additionally, the algorithm provides accurate speciation and concentration mapping while decreasing the data collection time by typically two or three orders of magnitude compared with the collection of whole spectra at each pixel. Whereas acquisition of spectral datacubes on large areas leads to very high irradiation times and doses, which can considerably lengthen experiments and generate significant alteration of radiation-sensitive materials, this sparse excitation energy procedure brings the total irradiation dose greatly below radiation damage thresholds identified in previous studies. This approach is particularly adapted to the chemical study of heterogeneous radiation-sensitive samples encountered in environmental, material, and life sciences.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE); Horizon 2020
Grant/Contract Number:
AC02-76SF00515; 654028; ANR-l1-EQPX-0034; 20141143
OSTI ID:
1647024
Journal Information:
Journal of Synchrotron Radiation (Online), Vol. 27, Issue 4; ISSN 1600-5775
Publisher:
International Union of CrystallographyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 3 works
Citation information provided by
Web of Science

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