Evidence map›Paper›PMID 39862162›Full record

ArticleACS applied materials & interfaces2025

High-Purity Ethylene Production from Ethane/Ethylene Mixtures at Ambient Conditions by Ethane-Selective Fluorine-Doped Activated Carbon Adsorbents.

Fahmi Anwar, Anish Mathai Varghese, Suresh Kuppireddy, Anastasios Gotzias, Maryam Khaleel, Kean Wang, Georgios N Karanikolos

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fahmi AnwarDepartment of Chemical & Petroleum Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi 127788, UAE.
Anish Mathai VargheseDepartment of Chemical & Petroleum Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi 127788, UAE.ORCID 0000-0002-1293-9512
Suresh KuppireddyRenewable and Sustainable Energy Research Center, Technology Innovation Institute (TII), P.O. Box 9639, Masdar City, Abu Dhabi 9639, UAE.ORCID 0000-0003-0956-6521
Anastasios GotziasInstitute of Nanoscience and Nanotechnology, National Center for Scientific Research Demokritos, Athens 15310, Greece.ORCID 0000-0002-0823-0703
Maryam KhaleelDepartment of Chemical & Petroleum Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi 127788, UAE.ORCID 0000-0002-4343-0364
Kean WangFood, Chemical and BioTechnology Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683.
Georgios N KaranikolosDepartment of Chemical Engineering, University of Patras, Patras 26504, Greece.ORCID 0000-0001-5823-7076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Energy-efficient separation of light alkanes from alkenes is considered as one of the most important separations of the chemical industry today due to the high energy penalty associated with the applied conventional cryogenic technologies. This study introduces fluorine-doped activated carbon adsorbents, where elemental fluorine incorporation into the carbon matrix plays a unique role in achieving high ethane selectivity. This enhanced selectivity arises from specific interactions between surface-doped fluorine atoms and ethane molecules, coupled with porosity modulation. Consequently, an equilibrium ethane/ethylene selectivity of as high as 3.9 at 298 K and 1 bar was achieved. Furthermore, polymer-grade ethylene (purity >99.99%) with a productivity of 1.6 mmol/g was obtained in a breakthrough run at ambient conditions from a binary ethane/ethylene (1/9

Indexed as

breakthroughethane/ethylene mixturesfluorine-doped activated carbonMonte Carlo simulationsparaffin-selective adsorbentsseparation

Identifiers

PMID39862162
PMCPMC11803616

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.