RT journal article
T1 Quantitative Evaluation of Supported Catalysts Key Properties from Electron Tomography Studies: Assessing Accuracy Using Material-Realistic 3D-Models
A1 Bouzaine, A.
A1 Muñoz Ocaña, Juan Manuel
A1 Rodríguez Chía, Antonio Manuel
A1 Hungría Hernández, Ana Belén
A1 Calvino Gámez, José Juan
A1 López Haro, Miguel
A2 Ciencia de los Materiales e Ingeniería Metalúrgica y Química Inorgánica
A2 Estadística e Investigación Operativa
K1 Supported catalysts
K1 Electron Tomography
K1 Nanometrology
K1 Error assessment
AB Electron Tomography (ET) reconstructions can be analysed, via segmentation techniques, to obtain quantitative, 3D-information about individual nanoparticles in supported catalysts. This includes values of parameters out of reach for any other technique, like their volume and surface, which are required to determine the dispersion of the supported particle system or the specific surface area of the support; two figures that play a major role in the performance of this type of catalysts. However, both the experimental conditions during the acquisition of the tilt series and the limited fidelity of the reconstruction and segmentation algorithms, restrict the quality of the ET results and introduce an undefined amount of error both in the qualitative features of the reconstructions and in all the quantitative parameters measured from them. Here, a method based on the use of well-defined 3D geometrical models (phantoms), with morphological features closely resembling those observed in experimental images of an Au/CeO2 catalyst, has been devised to provide a precise estimation of the accuracy of the reconstructions. Using this approach, the influence of noise and the number of projections on the errors of reconstructions obtained using a Total Variation Minimization in 3D (TVM-3D) algorithm have been determined. Likewise, the benefits of using smart denoising techniques based on Undecimated Wavelet Transforms (UWT) have been also evaluated. The results clearly reveal a large impact of usual noise levels on both the quality of the reconstructions and nanometrological measurement errors. Quantitative clues about the key role of UWT to largely compensate them are also provided.
PB SPRINGER
SN 1022-5528
YR 2022
FD 2022-06
LK http://hdl.handle.net/10498/27027
UL http://hdl.handle.net/10498/27027
LA eng
NO This work has received support from Projects: PID2020-113006-RB-I00, PID2019-110018GA-I00, PID2020-114594GB-C22, funded by MCIN/AEI/https://doi.org/10.13039/501100011033.This work has also been co-financed by Project ref: MAT2017-87579-R and by the 2014 -2020 ERDF Operational Programme and by the Department of Economy, Knowledge, Business and University of the Regional Government of Andalusia, Project references: FEDER-UCA18-107139, FEDERUCA18-106895 and P18-FR-1422. STEM ET experiments were recorded at the DME-UCA Node of the Spanish Singular Infrastructure for Electron Microscopy of Materials (ICTS ELECMI).
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026