Unknown

Dataset Information

0

Linker depletion for missing cluster defects in non-UiO metal-organic frameworks.


ABSTRACT: Defect engineering is a valuable tool to tune the properties of metal-organic frameworks. However, defect chemistry remains still predominantly limited to UiO-type MOFs. We describe the preferential formation of missing cluster defects in heterometallic titanium-organic frameworks of the MUV-10 family when synthesised in sub-stoichiometric linker conditions. Our results show the value of integrating experimental work, computational modelling and thorough characterization in rationalizing the impact of defects over the porosity and structure of this family of materials. Correlation of experiment with computational models reveals the dominance of missing cluster vacancies in the pore size distribution of defective MUV-10. These same models were used to investigate the correlation of defects by synchrotron X-ray diffraction. The diffraction at low reflection angles is dominated by diffuse scattering that is indicative of short-range order and cannot be indexed to the defective structural models generated. In addition to the low atomic scattering factor of titanium, these results confirm the need for high-resolution electron microscopy methods for modelling nanoscale disorder in titanium MOFs.

SUBMITTER: Lazaro IA 

PROVIDER: S-EPMC8442692 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Linker depletion for missing cluster defects in non-UiO metal-organic frameworks.

Lázaro Isabel Abánades IA   Almora-Barrios Neyvis N   Tatay Sergio S   Popescu Catalin C   Martí-Gastaldo Carlos C  

Chemical science 20210804 35


Defect engineering is a valuable tool to tune the properties of metal-organic frameworks. However, defect chemistry remains still predominantly limited to UiO-type MOFs. We describe the preferential formation of missing cluster defects in heterometallic titanium-organic frameworks of the MUV-10 family when synthesised in sub-stoichiometric linker conditions. Our results show the value of integrating experimental work, computational modelling and thorough characterization in rationalizing the imp  ...[more]

Similar Datasets

| S-EPMC10236271 | biostudies-literature
| S-EPMC10018648 | biostudies-literature
| S-EPMC9067581 | biostudies-literature
| S-EPMC10103745 | biostudies-literature
| S-EPMC8442697 | biostudies-literature
| S-EPMC10246652 | biostudies-literature