This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Selective reductive amination of biomass-derived aldehydes/ketones to primary amines
Abstract: Primary amines are important feedstocks to many industries but are highly challenging to synthesise in bulk. We request 7 days on TOSCA to carry out inelastic neutron scattering (INS) study of a multifunctional catalyst for the efficient reductive amination of biomass-derived aldehydes and ketones with high selectivity to primary amines. The proposed study will investigate the vibrational spectroscopy of the catalyst, adsorption of guest molecules and any possible reaction intermediates on catalyst surface. In particular, this study aims to reveal the roles of the MOF on promoting the catalytic efficiency and selectivity. This recently-discovered multifunctional catalyst by our group exhibit extremely high selectivity of reductive amination of biomass-derived substrates to primary amines with significant industrial value.
Principal Investigator: Professor Sihai Yang
Experimenter: Dr Qingqing Mei
Experimenter: Dr Longfei LIN
Local Contact: Dr Svemir Rudic
DOI: 10.5286/ISIS.E.RB2000141
ISIS Experiment Number: RB2000141
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.RB2000141-1 | TOSCA | 07 October 2023 | Download |
10.5286/ISIS.E.RB2000141-2 | TOSCA | 10 October 2023 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
Select the data format above to find
out more about it.
Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Professor Sihai Yang et al; (2020): Selective reductive amination of biomass-derived aldehydes/ketones to primary amines , STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2000141
Data is released under the CC-BY-4.0 license.