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AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
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Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092
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Statistical White-Line Analysis in High-Throughput TXM-XANES for Chemical State Quantification.

Jing Wang1,2, Wenhua Zuo2, Weiyuan Huang2

  • 1Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.

Photon Science
|March 30, 2026
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Summary
This summary is machine-generated.

A new statistical method enhances transmission X-ray microscopy (TXM) X-ray absorption near-edge structure (XANES) analysis. This approach enables robust, high-throughput chemical state mapping at the nanoscale without complex data processing.

Keywords:
TXMXANESdata analysisenergy storage materialswhite-line energy

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Spectroscopy

Background:

  • Transmission X-ray microscopy (TXM) coupled with X-ray absorption near-edge structure (XANES) offers 3D chemical state mapping at the nanoscale.
  • TXM-XANES suffers from low signal-to-noise ratios and computationally intensive analysis due to small voxel sizes.

Purpose of the Study:

  • To develop a statistical framework for direct chemical state extraction from TXM-XANES white-line peak positions.
  • To overcome the limitations of conventional volume-averaged XANES (VA-XANES) analysis in TXM-XANES.

Main Methods:

  • Developed a statistical white-line analysis framework applicable under specific structural and compositional conditions.
  • Utilized low-order polynomial fitting for white-line feature analysis in voxel spectra.
  • Validated the method on layered oxide cathode materials.

Main Results:

  • Chemical state information was directly extracted from white-line peak positions without voxel-wise background subtraction or normalization.
  • Extracted energy distributions showed strong correlation with conventional volume-averaged XANES (VA-XANES) results.
  • The method demonstrated accuracy in reproducing white-line features.

Conclusions:

  • The statistical approach enables high-throughput, dose-efficient, and noise-robust chemical state quantification in TXM-XANES.
  • This method is broadly applicable to functional materials requiring nanoscale oxidation-state mapping.
  • Simplifies TXM-XANES data analysis for chemical state determination.