Research Data Leeds Repository

Characterisation data for 'Ultrasound-assisted continuous aqueous synthesis of sulfonate, imidazolate, and carboxylate MOFs with high space time yield'

Citation

Sun, Chao and Pham, Sang and Boyall, Sarah L. and Douglas, Ben and Britton, Andrew J. and Micklethwaite, Stuart and Chamberlain, Thomas W. and Besenhard, Maximilian O. and Brydson, Rik and Wu, Ke-Jun and Collins, Sean M. (2025) Characterisation data for 'Ultrasound-assisted continuous aqueous synthesis of sulfonate, imidazolate, and carboxylate MOFs with high space time yield'. University of Leeds. [Dataset] https://doi.org/10.5518/1609¹

Dataset description

Metal–organic frameworks exhibit promising properties for applications from gas separations to energy applications. Yet scale-up with non-toxic solvents remains a challenge. Combining the increased heat and mass transfer of flow reactors with the enhanced mixing and nucleation rates of sono-chemical synthesis, we developed an ultrasound-assisted two-phase flow platform for the aqueous synthesis of MOFs spanning three ligand chemistries, sulfonate Ca-NDS (water), imidazolate ZIF-8, and carboxylate UiO-66-NH2. This dataset includes the characterisation data supporting these results, highlighting the potential of ultrasound-assisted flow synthesis for MOFs.

Keywords:

metal-organic frameworks, flow chemistry, materials characterisation

Subjects:

F000 - Physical sciences > F200 - Materials science²

Divisions:

Faculty of Engineering and Physical Sciences > School of Chemical and Process Engineering³

Related resources:

Location	Type
https://doi.org/10.1038/s42004-025-01548-5⁴	Publication
https://eprints.whiterose.ac.uk/id/eprint/226449/⁵	Publication

License:

Creative Commons Attribution 4.0 International (CC BY 4.0)

Date deposited:

15 May 2025 13:54

URI:

https://archive.researchdata.leeds.ac.uk/id/eprint/1410⁶

Additional details

Creators or authors:

Creators	ORCID	Primary affiliation	Primary affiliation ID	Primary affiliation ID type	Secondary affiliation	Secondary affiliation ID	Secondary affiliation ID type
Sun, Chao	https://orcid.org/0000-0001-7307-5685⁷	University of Leeds	https://ror.org/024mrxd33	ror
Pham, Sang	https://orcid.org/0000-0002-7347-4317⁸	University of Leeds	https://ror.org/024mrxd33	ror
Boyall, Sarah L.	https://orcid.org/0000-0001-5049-8335⁹	University of Leeds	https://ror.org/024mrxd33	ror
Douglas, Ben	https://orcid.org/0009-0002-9096-1325¹⁰	University of Leeds	https://ror.org/024mrxd33	ror
Britton, Andrew J.	https://orcid.org/0000-0003-4712-3414¹¹	University of Leeds	https://ror.org/024mrxd33	ror
Micklethwaite, Stuart	https://orcid.org/0000-0001-7335-2785¹²	University of Leeds	https://ror.org/024mrxd33	ror
Chamberlain, Thomas W.	https://orcid.org/0000-0001-8100-6452¹³	University of Leeds	https://ror.org/024mrxd33	ror
Besenhard, Maximilian O.	https://orcid.org/0000-0002-5079-617X¹⁴	University College London	https://ror.org/02jx3x895	ror
Brydson, Rik	https://orcid.org/0000-0003-2003-7612¹⁵	University of Leeds	https://ror.org/024mrxd33	ror
Wu, Ke-Jun	https://orcid.org/0000-0001-8658-5449¹⁶	University of Leeds	https://ror.org/024mrxd33	ror	Zhejiang University	https://ror.org/00a2xv884	ror
Collins, Sean M.	https://orcid.org/0000-0002-5151-6360¹⁷	University of Leeds	https://ror.org/024mrxd33	ror

Type of data:

Dataset

Research funders:

Royal Society, UK Research and Innovation, Engineering and Physical Sciences Research Council

Grant numbers:

RGS\R2\212076, EP/Y024583/1, EP/V028855/1

Publication date:

2025

Resource language:

English

Metadata language:

English

Publisher:

University of Leeds

Contact email:

s.m.collins@leeds.ac.uk¹⁸

Last Modified:

05 Jun 2025 15:44

Files

Documentation

README_Collins_2025.txt [7kB]

¹⁹

README_Collins_2025.txt [7kB]

²¹

Data

BET data [93kB]

²³

BET data [93kB]

²⁵

FTIR data [33kB]

²⁷

FTIR data [33kB]

²⁹

TGA data [104kB]

³¹

TGA data [104kB]

³³

XPS data [120kB]

³⁵

XPS data [120kB]

³⁷

XRD data [236kB]

³⁹

XRD data [236kB]

⁴¹

Ultrasound power and space time yield [467B]

⁴³