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Optimisation of EDS quantitative f-ratio method via ZAF correction
Jiayi Chen1,2, Yue Sun2, Liujia Tian2
1School of Energy and Materials, Shanghai Polytechnic University, Shanghai, China.
This study introduces an efficient f-ratio quantitative method for Cold Field Emission Scanning Electron Microscope/Energy Dispersive X-Ray Spectroscopy (CFE-SEM/EDS) analysis. The new approach simplifies calculations by using preset curves and ZAF correction, improving accuracy for elemental analysis.
Area of Science:
- Materials Science
- Analytical Chemistry
- Physics
Background:
- Traditional f-ratio quantitative methods for CFE-SEM/EDS rely on complex real-time simulations.
- Matrix effects in quantitative analysis pose significant challenges for accuracy.
- Accurate elemental quantification is crucial for material characterization.
Purpose of the Study:
- To develop an efficient and accurate quantitative f-ratio method for CFE-SEM/EDS systems.
- To overcome the computational burden of traditional real-time simulation methods.
- To enable precise elemental analysis of samples with varying matrix compositions.
Main Methods:
- Proposed an 'preset curve + ZAF correction' strategy to replace real-time simulation.
- Utilized pre-constructed 'f-ratio vs. concentration' models from standard samples.
- Implemented an iterative approach to determine the absorption parameter (χ).
- Established f-ratio models for P-In, As-Ga, S-Zn, Se-Cd, and S-Fe systems.
Main Results:
- Successfully applied the ZAF correction f-ratio method to binary (As-In, Se-Zn) and ternary (S-As-Fe) systems.
- Demonstrated the effectiveness of preset curves and ZAF correction in compensating for matrix effects.
- Achieved satisfactory precision in quantitative f-ratio analysis of unknown samples.
Conclusions:
- The 'preset curve + ZAF correction' f-ratio method offers an efficient alternative to traditional simulation-based approaches.
- This method significantly enhances the accuracy and applicability of EDS quantitative analysis in CFE-SEM.
- The developed technique provides a robust solution for elemental quantification in complex materials.
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