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Trace CO 2 capture by an ultramicroporous physisorbent with low water affinity

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Nov 2019Embargo end date: 10 Jan 2020 United Kingdom, New Zealand, Ireland Publisher:American Association for the Advancement of Science (AAAS)Journal:Science Advances, volume 5 (eissn: 2375-2548,

Copyright policy )Publicly fundedFunded by:NSF | MRI: Acquisition of a Com..., SFI | Green Adsorbents for Clea..., SFI | SRC SEC: Advanced Biomime... +1 projects

Authors: Mukherjee, Soumya; Sikdar, Nivedita; O'Nolan, Daniel; Franz, Douglas M; Gascón, Victoria; Kumar, Amrit; Kumar, Naveen; +5 Authors

doi: 10.1126/sciadv.aax9171 , 10.17863/cam.47760

pmid: 31819904

pmc: PMC6884411

handle: 10092/102835

Trace CO 2 capture by an ultramicroporous physisorbent with low water affinity

- Summary
- Subjects
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Abstract

The first sorbent with high CO 2 selectivity and poor water affinity addresses need for trace CO 2 remediation in confined spaces.

Countries

United Kingdom, New Zealand, Ireland

Related Organizations

University of Cambridge
United Kingdom
MacDiarmid Institute for Advanced Materials and Nanotechnology
New Zealand
Florida Southern College
United States
MacDiarmid Institute for Advanced Materials and Nanotechnology
New Zealand
University of Zurich
Switzerland

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Keywords

34 Chemical Sciences, 4004 Chemical Engineering, carbon dioxide, health problem, environmental, Fields of Research::40 - Engineering::4016 - Materials engineering::401605 - Functional materials, Fields of Research::40 - Engineering::4004 - Chemical engineering::400401 - Carbon capture engineering (excl. sequestration), 40 Engineering

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	149
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%