Evidence map›Paper›PMID 37720838›Full record

ArticleRSC advances2023

Proton penetration mechanism and selective hydrogen isotope separation through two-dimensional biphenylene.

Jiahui Zhao, Changti Pan, Yue Zhang, Xiyu Li, Guozhen Zhang, Li Yang

Abstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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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

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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

6 authors.

Jiahui ZhaoInstitutes of Physical Science and Information Technology, Anhui University Hefei Anhui 230601 China yangli91@mail.ustc.edu.cn.
Changti PanInstitutes of Physical Science and Information Technology, Anhui University Hefei Anhui 230601 China yangli91@mail.ustc.edu.cn.
Yue ZhangInstitutes of Physical Science and Information Technology, Anhui University Hefei Anhui 230601 China yangli91@mail.ustc.edu.cn.
Xiyu LiHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China Hefei Anhui 230026 China xylizy@ustc.edu.cn gzzhang@ustc.edu.cn.ORCID https://orcid.org/0000-0001-8080-0443
Guozhen ZhangHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China Hefei Anhui 230026 China xylizy@ustc.edu.cn gzzhang@ustc.edu.cn.ORCID https://orcid.org/0000-0003-0125-9666
Li YangInstitutes of Physical Science and Information Technology, Anhui University Hefei Anhui 230601 China yangli91@mail.ustc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogen isotope separation is of prime significance in various scientific and industrial applications. Nevertheless, the existing technologies are often expensive and energy demanding. Two-dimensional carbon materials are regarded as promising candidates for cost-effective separation of different hydrogen isotopes. Herein, based on theoretical calculations, we have systematically investigated the proton penetration mechanism and the associated isotope separation behavior through two-dimensional biphenylene, a novel graphene allotrope. The unique non-uniform rings with different sizes in the biphenylene layer resemble the topological defects of graphene, serving as proton transmission channels. We found that a proton can readily pass through biphenylene with a low energy barrier in some specific patterns. Furthermore, large kinetic isotope effect ratios for proton-deuteron (13.58) and proton-triton (53.10) were observed in an aqueous environment. We thus conclude that biphenylene would be a potential carbon material used for hydrogen isotope separation. This subtle exploitation of the natural structural specificity of biphenylene provides new insight into the search for materials for hydrogen isotope separation.

Identifiers

PMID37720838
PMCPMC10503273

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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.