Evidence map›Paper›PMID 42347388›Full record

ArticleToxics2026

A Novel Cerium-Loaded Amyloid Hybrid Membrane for Advanced Removal of Fluorine-18 in Medical Wastewater.

Yue Xing, Fan Zhang, Xu Zhang, Yuezhou Wei, Chengtao Yue, Xiangbiao Yin

Abstract read
In one paragraph

Article in Toxics, 2026. 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

6 authors.

Yue XingSchool of Nuclear Science and Technology, University of South China, 28 Changsheng West Road, Hengyang 421001, China.
Fan ZhangSchool of Nuclear Science and Technology, University of South China, 28 Changsheng West Road, Hengyang 421001, China.ORCID 0009-0001-8447-6879
Xu ZhangSchool of Nuclear Science and Technology, University of South China, 28 Changsheng West Road, Hengyang 421001, China.
Yuezhou WeiSchool of Nuclear Science and Technology, University of South China, 28 Changsheng West Road, Hengyang 421001, China.ORCID 0000-0003-3821-9078
Chengtao YueSchool of Nuclear Science and Technology, University of South China, 28 Changsheng West Road, Hengyang 421001, China.
Xiangbiao YinSchool of Nuclear Science and Technology, University of South China, 28 Changsheng West Road, Hengyang 421001, China.ORCID 0000-0003-2319-1789

Funding

Hunan Province Graduate Research Innovation Project CX20230946National Natural Science Foundation of China 22206073National Natural Science Foundation of China 22350710186National Natural Science Foundation of China U23B20167Scientific Research Program of FuRong Laboratory 2023SK2098
6 · The paper itself

Abstract

Despite its critical role in disease diagnosis as a radiopharmaceutical, Fluorine-18 generates medical wastewater that necessitates efficient treatment, for which membrane adsorption stands out as a potent method, albeit one that demands high-performance membranes with exceptional permeability and adsorption capacity. This study presents a novel cerium-loaded amyloid fibril hybrid membrane designed for efficient removal of fluorine-18 from such wastewater. The membrane is fabricated through a facile process involving oxidation-precipitation of cerium species onto amyloid fibrils, followed by vacuum filtration, with further compositional tuning via incorporation of porous silica or activated carbon dopants. The resulting membrane retains the characteristic amyloid fibril structure and exhibits high water permeability with a flux of up to 803.3 L/(m

Indexed as

adsorptive removalamyloid fibrilcerium oxidefluorine-18hybrid membrane

Identifiers

PMID42347388
PMCPMC13306774

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.