Evidence map›Paper›PMID 35564151›Full record

ReviewNanomaterials (Basel, Switzerland)2022

Efficient Selective Removal of Radionuclides by Sorption and Catalytic Reduction Using Nanomaterials.

Min Xu, Yawen Cai, Guohe Chen, Bingfeng Li, Zhongshan Chen, Baowei Hu, Xiangke Wang

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Min XuSchool of Life Science, Shaoxing University, Huancheng West Road 508, Shaoxing 312000, China.
Yawen CaiSchool of Life Science, Shaoxing University, Huancheng West Road 508, Shaoxing 312000, China.
Guohe ChenSchool of Life Science, Shaoxing University, Huancheng West Road 508, Shaoxing 312000, China.
Bingfeng LiPower China Sichuan Electric Power Engineering Co., Ltd., Chengdu 610041, China.
Zhongshan ChenCollege of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China.
Baowei HuSchool of Life Science, Shaoxing University, Huancheng West Road 508, Shaoxing 312000, China.
Xiangke WangSchool of Life Science, Shaoxing University, Huancheng West Road 508, Shaoxing 312000, China.ORCID 0000-0002-3352-1617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the fast development of industry and nuclear energy, large amounts of different radionuclides are inevitably released into the environment. The efficient solidification or elimination of radionuclides is thereby crucial to environmental pollution and human health because of the radioactive hazardous of long-lived radionuclides. The properties of negatively or positively charged radionuclides are quite different, which informs the difficulty of simultaneous elimination of the radionuclides. Herein, we summarized recent works about the selective sorption or catalytic reduction of target radionuclides using different kinds of nanomaterials, such as carbon-based nanomaterials, metal-organic frameworks, and covalent organic frameworks, and their interaction mechanisms are discussed in detail on the basis of batch sorption results, spectroscopy analysis and computational calculations. The sorption-photocatalytic/electrocatalytic reduction of radionuclides from high valent to low valent is an efficient strategy for in situ solidification/immobilization of radionuclides. The special functional groups for the high complexation of target radionuclides and the controlled structures of nanomaterials can selectively bind radionuclides from complicated systems. The challenges and future perspective are finally described, summarized, and discussed.

Indexed as

catalytic reductioneliminationnanomaterialsradionuclidessorption

Identifiers

PMID35564151
PMCPMC9100083

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.