Evidence map›Paper›PMID 35479526›Full record

ArticleRSC advances2021

Controllable growth of Cu-Bi co-doped ZnO nanospheres on cotton fabrics and a study on their photocatalytic performance in visible light.

Liuqi Cao, Liming Wang, Lihui Xu, Yong Shen, Mingrui Xie, Huimin Hao

Abstract read
In one paragraph

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Liuqi CaoSchool of Textiles and Fashion, Shanghai University of Engineering Science Shanghai 201620 China nirvanaclq@163.com +86-17856927352.ORCID https://orcid.org/0000-0003-3894-0842
Liming WangSchool of Textiles and Fashion, Shanghai University of Engineering Science Shanghai 201620 China nirvanaclq@163.com +86-17856927352.
Lihui XuSchool of Textiles and Fashion, Shanghai University of Engineering Science Shanghai 201620 China nirvanaclq@163.com +86-17856927352.
Yong ShenSchool of Textiles and Fashion, Shanghai University of Engineering Science Shanghai 201620 China nirvanaclq@163.com +86-17856927352.
Mingrui XieSchool of Textiles and Fashion, Shanghai University of Engineering Science Shanghai 201620 China nirvanaclq@163.com +86-17856927352.
Huimin HaoSchool of Textiles and Fashion, Shanghai University of Engineering Science Shanghai 201620 China nirvanaclq@163.com +86-17856927352.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cu-Bi co-doped ZnO nanospheres were obtained by adopting Bi and Cu to dope ZnO to improve their photocatalytic performance in the visible region. Cu-Bi co-doped ZnO nanospheres were successfully grown on the surface of cotton fabric by a sol-gel assisted hydrothermal method with citric acid as a morphology control agent. The obtained products were characterized by X-ray diffraction analysis (XRD), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS) and diffuse reflectance spectroscopy (DRS). The results showed that the size of ZnO nanospheres was about 200 nm and doping with Cu and Bi did not change their morphology. Cu-Bi co-doped ZnO nanospheres presented a hexagonal wurtzite structure with high crystallinity; meanwhile, their band gap was also obviously reduced due to doping, from 3.24 eV to 2.82 eV. Cu-Bi co-doped ZnO nanospheres endowed the cotton fabric with excellent UV (ultraviolet) resistance with a UPF (Ultraviolet Protection Factor) value of 283.54 after 40 washes. Cotton fabric with 3% Bi-5% Cu co-doped ZnO on the surface showed 98.66% degradation of methylene blue (MB) solution under visible light irradiation for 150 min, indicating remarkable photocatalytic performance.

Identifiers

PMID35479526
PMCPMC9040613

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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.