Evidence map›Paper›PMID 33467710›Full record

ArticleMembranes2021

Application of Silver-Loaded Composite Track-Etched Membranes for Photocatalytic Decomposition of Methylene Blue under Visible Light.

Anastassiya A Mashentseva, Murat Barsbay, Nurgulim A Aimanova, Maxim V Zdorovets

Open access · goldAbstract read
In one paragraph

Article in Membranes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  9. A Novel CuNanomaterials (Basel, Switzerland) · 2022
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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

4 authors at 3 institutions in 3 countries.

Anastassiya A MashentsevaThe Institute of Nuclear Physics of the Republic of Kazakhstan, Ibragimov str., 1, Almaty 050032, Kazakhstan.
Murat BarsbayDepartment of Chemistry, Hacettepe University, 06800 Beytepe, Ankara, Turkey.ORCID 0000-0003-0788-4446
Nurgulim A AimanovaThe Institute of Nuclear Physics of the Republic of Kazakhstan, Ibragimov str., 1, Almaty 050032, Kazakhstan.ORCID 0000-0002-9150-5877
Maxim V ZdorovetsThe Institute of Nuclear Physics of the Republic of Kazakhstan, Ibragimov str., 1, Almaty 050032, Kazakhstan.
L. N. Gumilyov Eurasian National University · KZHacettepe University · TRNational Nuclear Center of the Republic of Kazakhstan · KZ

Funding

Ministry of Education and Science of the Republic of Kazakhstan AP08855527
6 · The paper itself

Abstract

In this study, the use of composite track-etched membranes (TeMs) based on polyethylene terephthalate (PET) and electrolessly deposited silver microtubes (MTs) for the decomposition of toxic phenothiazine cationic dye, methylene blue (MB), under visible light was investigated. The structure and composition of the composite membranes were elucidated by scanning electron microscopy, energy dispersive spectroscopy, and X-ray diffraction technique. Under visible light irradiation, composite membrane with embedded silver MTs (Ag/PET) displayed high photocatalytic efficiency. The effects of various parameters such as initial dye concentration, temperature, and sample exposure time on the photocatalytic degradation process were studied. The decomposition reaction of MB was found to follow the Langmuir-Hinshelwood mechanism and a pseudo-first-order kinetic model. The degradation kinetics of MB accelerated with increasing temperature and activation energy,

Indexed as

composite nanocatalystelectroless template synthesismethylene blue decompositionsilver microtubestrack-etched composite membranes

Identifiers

PMID33467710
PMCPMC7830284
OpenAlexW3118651965

What OpenQuestion holds

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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.