Evidence map›Paper›PMID 33525631›Full record

ReviewMembranes2021

Copper-Modified Polymeric Membranes for Water Treatment: A Comprehensive Review.

Andreina García, Bárbara Rodríguez, Hugo Giraldo, Yurieth Quintero, Rodrigo Quezada, Natalia Hassan, Humberto Estay

Open access · goldAbstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 55 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Andreina GarcíaMining Engineering Department, FCFM, Universidad de Chile, Santiago 8370451, Chile.ORCID 0000-0003-1607-8913
Bárbara RodríguezAdvanced Mining Technology Center (AMTC), Universidad de Chile, Santiago 8370451, Chile.ORCID 0000-0001-6091-358X
Hugo GiraldoAdvanced Mining Technology Center (AMTC), Universidad de Chile, Santiago 8370451, Chile.
Yurieth QuinteroAdvanced Mining Technology Center (AMTC), Universidad de Chile, Santiago 8370451, Chile.
Rodrigo QuezadaAdvanced Mining Technology Center (AMTC), Universidad de Chile, Santiago 8370451, Chile.
Natalia HassanPrograma Institucional de Fomento a la I+D+i, Universidad Tecnológica Metropolitana, Ignacio Valdivieso 2409, San Joaquín, Santiago 8940577, Chile.ORCID 0000-0001-5001-5102
Humberto EstayAdvanced Mining Technology Center (AMTC), Universidad de Chile, Santiago 8370451, Chile.ORCID 0000-0001-8518-7131
University of Chile · CLDirección de Investigación y Desarrollo · CL

Funding

Comisión Nacional de Investigación Científica y Tecnológica Fondecyt Postdoctoral program Project 3180093Comisión Nacional de Investigación Científica y Tecnológica PIA Project ACM170003Comisión Nacional de Investigación Científica y Tecnológica PIA Project AFB180004
6 · The paper itself

Abstract

In the last decades, the incorporation of copper in polymeric membranes for water treatment has received greater attention, as an innovative potential solution against biofouling formation on membranes, as well as, by its ability to improve other relevant membrane properties. Copper has attractive characteristics: excellent antimicrobial activity, high natural abundance, low cost and the existence of multiple cost-effective synthesis routes for obtaining copper-based materials with tunable characteristics, which favor their incorporation into polymeric membranes. This study presents a comprehensive analysis of the progress made in the area regarding modified membranes for water treatment when incorporating copper. The notable use of copper materials (metallic and oxide nanoparticles, salts, composites, metal-polymer complexes, coordination polymers) for modifying microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), forward osmosis (FO) and reverse osmosis (RO) membranes have been identified. Antibacterial and anti-fouling effect, hydrophilicity increase, improvements of the water flux, the rejection of compounds capacity and structural membrane parameters and the reduction of concentration polarization phenomena are some outstanding properties that improved. Moreover, the study acknowledges different membrane modification approaches to incorporate copper, such as, the incorporation during the membrane synthesis process (immobilization in polymer and phase inversion) or its surface modification using physical (coating, layer by layer assembly and electrospinning) and chemical (grafting, one-pot chelating, co-deposition and mussel-inspired PDA) surface modification techniques. Thus, the advantages and limitations of these modifications and their methods with insights towards a possible industrial applicability are presented. Furthermore, when copper was incorporated into membrane matrices, the study identified relevant detrimental consequences with potential to be solved, such as formation of defects, pore block, and nanoparticles agglomeration during their fabrication. Among others, the low modification stability, the uncontrolled copper ion releasing or leaching of incorporated copper material are also identified concerns. Thus, this article offers modification strategies that allow an effective copper incorporation on these polymeric membranes and solve these hinders. The article finishes with some claims about scaling up the implementation process, including long-term performance under real conditions, feasibility of production at large scale, and assessment of environmental impact.

Indexed as

biofoulingcopper nanomaterialsnanocompositespolymeric membraneswater treatment

Identifiers

PMID33525631
PMCPMC7911616
OpenAlexW3123707816

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.