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Updated: Sep 14, 2025

Quantifying X-Ray Fluorescence Data Using MAPS
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Quantifying X-Ray Fluorescence Data Using MAPS

Published on: February 17, 2018

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基于机器学习的X射线吸收光谱数据分析的新框架:XASDAML

Xue Han1, Haodong Yao1, Fei Zhan1

  • 1Multi-disciplinary Research Division, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.

Journal of synchrotron radiation
|July 21, 2025
PubMed
概括

射线吸收光谱 (XAS) 分析得到了机器学习平台XASDAML的增强. 该工具有效处理大型XAS数据集,预测结构性质,并发现材料模式.

关键词:
在X射线吸收光谱学 (XAS) 中.集成的数据处理系统.这是一个模块化机器学习框架.

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Atomic Absorption Spectroscopy: Overview01:27

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Atomic absorption spectroscopy (AAS) is a technique used to analyze elements by measuring electromagnetic radiation (EMR) absorbed by atoms, which causes them to transition to a higher-energy orbit. The most crucial step in AAS is atomization, where the analyte is converted into gas-phase atoms, typically through a flame or furnace. Some of these atoms become thermally excited in the flame, while most remain in the ground state.
When irradiated by EMR of a particular wavelength, these...
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Atomic absorption spectroscopy (AAS) relies on the Beer-Lambert law, which requires that the radiation source emits a narrow range of wavelengths to match the absorption characteristics of the analyte atom. The primary criteria for choosing an appropriate radiation source in AAS is to provide a precise and intense emission at specific wavelengths that will allow accurate detection of the analyte.
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For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
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