Projects per year
Abstract
Understanding the behaviour of short-chain hydrocarbons confined to porous solids informs the targeted extraction of natural resources from geological features, and underpins rational developments in separation, storage and catalytic conversion processes. Herein, we report the application of low-field (12.7 MHz) 1H nuclear magnetic resonance (NMR) relaxation measurements to characterise ethane dynamics within mesoporous silica materials exhibiting mean pore diameters between 6 and 50 nm. Our measurements provide NMR-based adsorption isotherms within the range 25–50 bar and at ambient temperature, incorporating the ethane condensation point (40.7 bar at our experimental temperature of 23.6 °C). The quantitative nature of the acquired data is validated via a direct comparison of NMR-derived excess adsorption capacities with ex situ gravimetric ethane adsorption measurements, which are demonstrated to agree to within 0.2 mmol g−1 of the observed ethane capacity. NMR (Formula presented.) relaxation time distributions are further demonstrated as a means to decouple interparticle and mesopore dominated adsorption phenomena, with unexpectedly rapid relaxation rates associated with interparticle ethane gas confirmed via a direct comparison with NMR self-diffusion analysis.
Original language | English |
---|---|
Article number | e202100794 |
Pages (from-to) | 1-11 |
Journal | ChemPhysChem |
Volume | 23 |
Issue number | 4 |
Early online date | 18 Jan 2022 |
DOIs | |
Publication status | Published - 16 Feb 2022 |
Fingerprint
Dive into the research topics of 'Low-Field NMR Relaxation Analysis of High-Pressure Ethane Adsorption in Mesoporous Silicas'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Shale Rock Characterization using Nuclear Magnetic Resonance
Johns, M., May, E. & Seltzer, S.
Australian Research Council, Chevron Australia Pty Ltd
17/09/18 → 16/09/22
Project: Research
Research output
- 2 Citations
- 1 Doctoral Thesis
-
Characterization of methane adsorption in shales using low-field NMR
Yang, K., 2022, (Unpublished)Research output: Thesis › Doctoral Thesis
File46 Downloads (Pure)