Evidence map›Paper›PMID 33611731›Full record

ArticleEnvironmental science and pollution research international2021

Photocatalytic purification of contaminated air in intensive care units by ZnSn(OH)

Xinyi Peng, Mengmeng Jiang, Xinchen Wang, Danzhen Li, Shuhui Sun, Yu Shao, Yi Zheng

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. 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

7 authors.

Xinyi PengState Key Laboratory of Photocatalysis on Energy and Environment, Research Institute of Photocatalysis, Fuzhou University, Fuzhou, 350116, People's Republic of China.
Mengmeng JiangState Key Laboratory of Photocatalysis on Energy and Environment, Research Institute of Photocatalysis, Fuzhou University, Fuzhou, 350116, People's Republic of China.
Xinchen WangState Key Laboratory of Photocatalysis on Energy and Environment, Research Institute of Photocatalysis, Fuzhou University, Fuzhou, 350116, People's Republic of China.
Danzhen LiState Key Laboratory of Photocatalysis on Energy and Environment, Research Institute of Photocatalysis, Fuzhou University, Fuzhou, 350116, People's Republic of China.
Shuhui SunInstitut National de la Recherche Scientifique-Énergie Matériaux et Télécommunications, Varennes, Quebec, J3X 1S2, Canada.
Yu ShaoState Key Laboratory of Photocatalysis on Energy and Environment, Research Institute of Photocatalysis, Fuzhou University, Fuzhou, 350116, People's Republic of China. Shaoyu@fzu.edu.cn.
Yi ZhengState Key Laboratory of Photocatalysis on Energy and Environment, Research Institute of Photocatalysis, Fuzhou University, Fuzhou, 350116, People's Republic of China. Yizheng@fzu.edu.cn.ORCID http://orcid.org/0000-0002-8870-201X

Funding

National Natural Science Foundation of China 21673044
6 · The paper itself

Abstract

The air purification in intensive care units (ICU) involving the removal of smog and volatile organic compounds (VOCs), disinfection, and sterilization are closely linked to important health issues. The environmental photocatalysis technology that could decompose gaseous pollutants into small molecular inorganic substances provides the potential solution. In a chamber of 30-m

Indexed as

Air PollutantsAir PollutionAir Pollution, IndoorNanoparticlesVolatile Organic CompoundsCatalysisIntensive Care UnitsAir PollutantsVolatile Organic CompoundsAir pollutionCOIntensive care unitPhotocatalysisVolatile organic compoundsZnSn(OH)6

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.