2024-03-28T14:19:43Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1609362020-01-28T11:14:47Zcom_10261_10252com_10261_3col_10261_10255
2018-02-19T13:05:16Z
urn:hdl:10261/160936
A journey through the secret life of nanoparticles: from 2D high resolution images to 3D oxidation state mapping
Torruella, Pau
Arenal, Raúl
Yedra, Lluís
Estrader, Marta
Salazar-Álvarez, G.
López-Ortega, Alberto
Nogués, Josep
Midgley, Paul A.
Estradé, Sònia
Peiró, Francesca
Resumen del trabajo presentado a la NanoBioMed Conference, celebrada en Barcelona (España) del 22 al 24 de noviembre de 2016.-- et al.
Electron tomography has been used in the field of materials science for recovering the three dimensional (3D) structure of materials in the nanoscale. To add chemical information to this 3D volume, Energy Filtering TEM (EFTEM) is the widely spread technique. However, the selection of specific energy channels implies that significant information in the spectrum is lost. Instead, electron energy-loss spectroscopy (EELS) spectrum-images (SI) acquired in tomographic series retain all chemical information for 3D chemical reconstruction. In particular, the near edge energy losses (ELNES) contain information relative to the elemental coordination and thus, recovering of the oxidation state of a transition metal is also possible. In this work we will develop the concept of EELS spectrum volume (EELS-SV), a full EELS dataset in 4D, where every voxel of a whole volume contains a complete spectrum of energy losses. Our approach to EELS-SV reconstruction is based on the acquisition of spectrum images (SI) in tomographic mode SI, thus taking a single SI for every tilt angle and on the identification of independent components and the corresponding abundance maps (ICA analysis). We will prove the feasibility of EELS tomography from data acquired aberration corrected
TEM’s but also in uncorrected instruments thanks to the use of multivariate analysis (MVA), and blind source separation (BSS) methods combined with advanced reconstruction algorithms. We have applied this approach to obtain 3D reconstruction of advanced metal oxide nanostructured materials as FexCo(3-x)O4/Co3O4mesoporous structures and bimagnetic FeOx/FeOy core/shell nanoparticles, for which the oxidation state of Fe can be discriminated in 3D.
2018-02-19T13:05:16Z
2018-02-19T13:05:16Z
2016
2018-02-19T13:05:16Z
comunicación de congreso
NanoBioMed 2016
http://hdl.handle.net/10261/160936
eng
Sí
closedAccess