Grayscale-Element Bayesian Method Based on Synchrotron Radiation Nano-CT: Quantitative Characterization of Elemental...

Area of Science:

• Materials Science
• Analytical Chemistry
• Nanotechnology

Background:

• Nanosacle elemental analysis presents challenges in precision, depth, and sample destruction.
• Conventional techniques struggle with matrix effects and limited detection capabilities.

Purpose of the Study:

• To introduce a novel, nondestructive method for high-precision quantitative elemental analysis at the nanoscale.
• To overcome limitations of existing techniques in materials characterization.

Main Methods:

• Integration of grayscale information from synchrotron radiation nano-CT with a Bayesian inversion framework.
• Development of a grayscale probability model and probability mass functions via convolution with standard materials.
• Implementation of unsupervised element quantification without prior knowledge.

Main Results:

• The Grayscale Bayesian Elemental Quantification Analysis (GBEQA) method was validated on FeNi alloys and NCM90 precursor.
• Results showed high agreement with inductively coupled plasma atomic emission spectrometry (ICP-AES).
• Successfully characterized nanoscale element distribution heterogeneities missed by conventional methods.

Conclusions:

• GBEQA establishes a new paradigm for nondestructive, 3D-resolution elemental analysis.
• The method demonstrates universality and significant implications for complex systems like alloys and energy materials.
• Advances nanoscale materials characterization and elemental distribution analysis.