Anne Selent, Vladimir V. Zhivonitko, Igor V. Koptyug, Ville-Veikko Telkki, Quantifying the adsorption of flowing gas mixtures in porous materials by remote detection NMR, Microporous and Mesoporous Materials, Volume 269, 2018, Pages 148-151, ISSN 1387-1811, https://doi.org/10.1016/j.micromeso.2017.05.040
Quantifying the adsorption of flowing gas mixtures in porous materials by remote detection NMR
|Author:||Selent, Anne1; Zhivonitko, Vladimir V.2,3; Koptyug, Igor V.2,3;|
1NMR Research Unit, University of Oulu, P.O.Box 3000, FIN-90014, Finland
2aboratory of Magnetic Resonance Microimaging, International Tomography Center SB RAS, Instututskaya St. 3A, 630090 Novosibirsk, Russia
3Novosibirsk State University, Pirogova St. 2, 630090 Novosibirsk, Russia
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018062926663
|Publish Date:|| 2019-05-19
Traditional adsorption measurements are carried out at static conditions for a single gas component, and multi-component adsorption measurements are challenging and time-consuming. Here we introduce an efficient remote detection NMR method for in situ analysis of adsorption of flowing gas in mesoporous materials. We investigated adsorption of continuously flowing propane and propene gases as well as their mixture in packed beds of controlled pore glass and silica gel materials. Remote detection provided from 300 to 700 -fold sensitivity enhancement as compared to a direct experiment carried out by a large coil around the packed bed. The unique time-of-flight information obtained using this method was utilized in flow velocity determination, and the velocities were converted into amount of adsorbed gas. As the detection was performed outside the packed bed region, the spectra were not influenced by the porous materials. Because resonances of each gas component were well-resolved in the spectra, the amount of adsorption of each gas component could be determined from the same data, measured in a few minutes.
Microporous and mesoporous materials
|Pages:||148 - 151|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
114 Physical sciences
116 Chemical sciences
V.-V.T. acknowledges the Academy of Finland for financial support (grant numbers 289649 and 294027). A.S. thanks the Graduate School of Computational Chemistry and Molecular Spectroscopy (LASKEMO) for funding. V.V.Z. and I.V.K. thank RFBR (grant 16-03-00407-a) for financial support.
|Academy of Finland Grant Number:||
289649 (Academy of Finland Funding decision)
294027 (Academy of Finland Funding decision)
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