Evidence map›Paper›PMID 34436400›Full record

ArticleMembranes2021

Preparation of Hydrophobic PET Track-Etched Membranes for Separation of Oil-Water Emulsion.

Ilya V Korolkov, Asiya R Narmukhamedova, Galina B Melnikova, Indira B Muslimova, Arman B Yeszhanov, Zh K Zhatkanbayeva, Sergei A Chizhik, Maxim V Zdorovets

Abstract read
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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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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  7. Review
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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

8 authors.

Ilya V KorolkovL.N. Gumilyov Eurasian National University, Satpaev str. 5, Nur-Sultan 010008, Kazakhstan.ORCID 0000-0002-0766-2803
Asiya R NarmukhamedovaL.N. Gumilyov Eurasian National University, Satpaev str. 5, Nur-Sultan 010008, Kazakhstan.
Galina B MelnikovaL.N. Gumilyov Eurasian National University, Satpaev str. 5, Nur-Sultan 010008, Kazakhstan.
Indira B MuslimovaL.N. Gumilyov Eurasian National University, Satpaev str. 5, Nur-Sultan 010008, Kazakhstan.
Arman B YeszhanovL.N. Gumilyov Eurasian National University, Satpaev str. 5, Nur-Sultan 010008, Kazakhstan.
Zh K ZhatkanbayevaL.N. Gumilyov Eurasian National University, Satpaev str. 5, Nur-Sultan 010008, Kazakhstan.
Sergei A ChizhikA.V. Luikov Heat and Mass Transfer Institute of the National Academy of Sciences of Belarus, P. Brovki str., 15, 220072 Minsk, Belarus.
Maxim V ZdorovetsL.N. Gumilyov Eurasian National University, Satpaev str. 5, Nur-Sultan 010008, Kazakhstan.ORCID 0000-0003-2992-1375

Funding

Belarusian Republican Foundation for Basic Research contr. F20MS-025 of 04.06.2020the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan AP09057934
6 · The paper itself

Abstract

The paper describes the separation of an oil-water emulsion by filtration using poly(ethylene terephthalate) track-etched membranes (PET TeMs) with regular pore geometry and narrow pore size distribution. PET TeMs were modified with trichloro(octyl)silane to increase their hydrophobic properties. Conditions for the modification of PET TeMs with trichloro(octyl)silane were investigated. The results of changes in the pore diameters and the contact angle depend on the concentration of trichloro(octyl)silane and the soaking time are presented. The obtained samples were characterized by FTIR, AFM, SEM-EDX and gas-permeability test. Chloroform-water and cetane-water emulsions have been used as a test liquid for oil-water separation.

Indexed as

hydrophobic modificationsilanetrack-etched membraneswater–oil separation

Identifiers

PMID34436400
PMCPMC8398724

What OpenQuestion holds

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Registered trials

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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.