Evidence map›Paper›PMID 34436368›Full record

ReviewMembranes2021

Advances in the Synthesis and Application of Anti-Fouling Membranes Using Two-Dimensional Nanomaterials.

Asif Shahzad, Jae-Min Oh, Mudassar Azam, Jibran Iqbal, Sabir Hussain, Waheed Miran, Kashif Rasool

Abstract readReview
In one paragraph

Review in Membranes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. A Hydrofluoric Acid-Free Green Synthesis of Magnetic M.TiNanomaterials (Basel, Switzerland) · 2022
    Article
  7. 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.

Asif ShahzadDepartment of Energy and Materials Engineering, Dongguk University-Seoul, Seoul 04620, Korea.
Jae-Min OhDepartment of Energy and Materials Engineering, Dongguk University-Seoul, Seoul 04620, Korea.ORCID 0000-0003-1638-9957
Mudassar AzamInstitute of Chemical Engineering & Technology, University of Punjab, Lahore 54590, Pakistan.ORCID 0000-0002-4557-2817
Jibran IqbalCollege of Natural and Health Sciences, Zayed University, Abu Dhabi 144534, United Arab Emirates.ORCID 0000-0003-0140-2661
Sabir HussainDepartment of Environmental Sciences and Engineering, Government College University, Faisalabad 38000, Pakistan.
Waheed MiranInternational Center for Materials Nanoarchitectonics, National Institute for Materials Science, Tsukuba 305-0044, Japan.ORCID 0000-0002-8380-1537
Kashif RasoolQatar Environment and Energy Research Institute, Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha 5824, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article provides a comprehensive review of the recent progress in the application of advanced two-dimensional nanomaterials (2DNMs) in membranes fabrication and application for water purification. The membranes fouling, its types, and anti-fouling mechanisms of different 2DNMs containing membrane systems are also discussed. The developments in membrane synthesis and modification using 2DNMs, especially graphene and graphene family materials, carbon nanotubes (CNTs), MXenes, and others are critically reviewed. Further, the application potential of next-generation 2DNMs-based membranes in water/wastewater treatment systems is surveyed. Finally, the current problems and future opportunities of applying 2DNMs for anti-fouling membranes are also debated.

Indexed as

anti-foulinggraphenemembranesMXenesnanomaterialstwo-dimensional

Identifiers

PMID34436368
PMCPMC8402026

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.