Abstract
Porous boron nitride (BN) has proven promising as a novel class of
inorganic materials in the field of separations and particularly
adsorption. Owing to its high surface area and thermal stability, porous
BN has been researched for CO2 capture and water cleaning,
for instance. However, research remains at the laboratory scale due to a
lack of understanding of the formation mechanism of porous BN, which is
largely a “black box” and prevents scale up. Partial reaction pathways
have been unveiled, but they omit critical steps in the formation,
including the porosity development, which is key to adsorption. To
unlock the potential of porous BN at a larger scale, we have
investigated its formation from the perspective of both chemical
formation and porosity development. We have characterized reaction
intermediates obtained at different temperatures with a range of
analytical and spectroscopic tools. Using these analyses, we propose a
mechanism highlighting the key stages of BN formation, including
intermediates and gaseous species formed in the process. We identified
the crucial formation of nonporous carbon nitride to form porous BN with
release of porogens, such as CO2. This work paves the way for the use of porous BN at an industrial level for gas and liquid separations.
Original language | English |
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Journal | Journal of Physical Chemistry C |
Volume | Articles ASAP |
Early online date | 3 Dec 2021 |
DOIs | |
Publication status | E-pub ahead of print - 3 Dec 2021 |
Keywords
- Boron nitride
- Porosity
- Formation mechanism
- Adsorption
- Materials characterisation
- Spectroscopy
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Dive into the research topics of 'Formation mechanism and porosity development in porous boron nitride'. Together they form a unique fingerprint.Datasets
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Formation Mechanism and Porosity Development in Porous Boron Nitride (dataset)
L'Hermitte, A. (Creator), Dawson, D. M. (Creator), Ferrer, P. (Creator), Roy, K. (Creator), Held, G. (Creator), Tian, T. (Creator) & Petit, C. (Creator), University of St Andrews, 9 Dec 2021
DOI: 10.17630/19f8aab8-4c25-4bea-970b-d703f385ed01
Dataset
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