<sup>17</sup>O\nand <sup>31</sup>P Solid-State NMR\nInvestigations of Faceted Indium Oxide Nanomaterials

Facet engineering of oxides has been developed as an\neffective\napproach to generating the desired properties for a variety of applications,\nespecially in catalysis. Hence, it is of great significance to unravel\nthe difference in the surface structures of oxides with varied exposed\nfacets in order to understand the facet–morphology–property\nrelationships and rationally construct nanostructures with improved\nproperties. Although electron microscopy techniques have been widely\napplied to visualize the facet structure of oxides, the volume of\nthe sample tested by such methods is rather small, and the information\nextracted may not be representative of the whole sample. Furthermore,\nchemical bonding information is often unavailable. Herein, four nanostructured\nindium oxide (In<sub>2</sub>O<sub>3</sub>) samples with diverse exposed\nfacets are prepared, and <sup>17</sup>O and <sup>31</sup>P magic angle\nspinning (MAS) solid-state NMR spectroscopies are applied to investigate\ntheir surface structures and acid sites. <sup>17</sup>O and <sup>31</sup>P NMR spectra of hexagonal In<sub>2</sub>O<sub>3</sub> (h-In<sub>2</sub>O<sub>3</sub>) and cubic In<sub>2</sub>O<sub>3</sub> (c-In<sub>2</sub>O<sub>3</sub>) differ significantly, indicating distinct structures\nand properties. For example, h-In<sub>2</sub>O<sub>3</sub> possesses\na stronger surface acidity than c-In<sub>2</sub>O<sub>3</sub> samples,\nwith h-In<sub>2</sub>O<sub>3</sub> nanorods exhibiting the highest\nacidity. These results lead to a better understanding of the structure–property\nrelationships of faceted In<sub>2</sub>O<sub>3</sub> nanomaterials\nfor catalysis.

Publication Details

Journal
Figshare
Published
2024-12-24
DOI
https://doi.org/10.1021/acs.jpcc.4c07412.s001
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

17O\nand 31P Solid-State NMR\nInvestigations of Faceted Indium Oxide Nanomaterials

Figshare
Advanced NMR Techniques and Applications
article

17O\nand 31P Solid-State NMR\nInvestigations of Faceted Indium Oxide Nanomaterials

article en

Abstract

Facet engineering of oxides has been developed as an\neffective\napproach to generating the desired properties for a variety of applications,\nespecially in catalysis. Hence, it is of great significance to unravel\nthe difference in the surface structures of oxides with varied exposed\nfacets in order to understand the facet–morphology–property\nrelationships and rationally construct nanostructures with improved\nproperties. Although electron microscopy techniques have been widely\napplied to visualize the facet structure of oxides, the volume of\nthe sample tested by such methods is rather small, and the information\nextracted may not be representative of the whole sample. Furthermore,\nchemical bonding information is often unavailable. Herein, four nanostructured\nindium oxide (In<sub>2</sub>O<sub>3</sub>) samples with diverse exposed\nfacets are prepared, and <sup>17</sup>O and <sup>31</sup>P magic angle\nspinning (MAS) solid-state NMR spectroscopies are applied to investigate\ntheir surface structures and acid sites. <sup>17</sup>O and <sup>31</sup>P NMR spectra of hexagonal In<sub>2</sub>O<sub>3</sub> (h-In<sub>2</sub>O<sub>3</sub>) and cubic In<sub>2</sub>O<sub>3</sub> (c-In<sub>2</sub>O<sub>3</sub>) differ significantly, indicating distinct structures\nand properties. For example, h-In<sub>2</sub>O<sub>3</sub> possesses\na stronger surface acidity than c-In<sub>2</sub>O<sub>3</sub> samples,\nwith h-In<sub>2</sub>O<sub>3</sub> nanorods exhibiting the highest\nacidity. These results lead to a better understanding of the structure–property\nrelationships of faceted In<sub>2</sub>O<sub>3</sub> nanomaterials\nfor catalysis.

Figshare
Openalex Percentile: Top 65%
Advanced NMR Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.