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Updated: May 18, 2026

Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
Published on: July 5, 2016
EEL spectroscopic tomography: towards a new dimension in nanomaterials analysis
Lluís Yedra1, Alberto Eljarrat, Raúl Arenal
1Laboratory of Electron Nanoscopies (LENS)-MIND/IN2UB, Dept. d'Electrònica, Universitat de Barcelona, c/ Martí Franquès 1, E-08028 Barcelona, Spain. llyedra@el.ub.es
Electron energy-loss spectroscopy (EELS) tomography reconstructs 3D nanostructure chemical information. This study demonstrates the feasibility of EELS tomography for detailed materials analysis.
Area of Science:
- Materials Science
- Analytical Chemistry
- Nanotechnology
Background:
- Electron tomography is crucial for 3D nanostructure imaging.
- Spectroscopic signals add a chemical dimension to 3D reconstructions.
- Conventional energy-filtered TEM (EFTEM) tomography loses significant spectral information.
Purpose of the Study:
- To demonstrate the feasibility of electron energy-loss spectroscopy (EELS) tomography for 3D chemical mapping.
- To showcase the advantages of EELS spectrum images (SI) over EFTEM for retaining full chemical information.
- To apply EELS tomography to mesoporous materials for advanced materials characterization.
Main Methods:
- Utilizing an aberration-corrected transmission electron microscope for data acquisition at 80 kV.
- Employing electron energy-loss spectroscopy (EELS) spectrum images (SI) for tomographic reconstruction.
- Applying Multivariate Analysis (MVA) for data processing of EELS-SI data.
Main Results:
- Feasibility of EELS tomography at low voltages (80 kV) and short acquisition times is proven.
- Full chemical information from EELS spectra is retained in the 3D reconstruction.
- Successful application to Fe(x)Co((3-x))O(4)@Co(3)O(4) mesoporous materials.
Conclusions:
- EELS tomography offers a powerful new approach for 3D chemical analysis of nanostructured materials.
- This technique overcomes the limitations of EFTEM by preserving complete spectral data.
- The study opens new avenues for understanding complex material compositions and structures in three dimensions.
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