Evidence map›Paper›PMID 36755730›Full record

ReviewChemical science2023

Unlocking the potential of polymeric desalination membranes by understanding molecular-level interactions and transport mechanisms.

Trisha R Nickerson, Emma N Antonio, Dylan P McNally, Michael F Toney, Chunmei Ban, Anthony P Straub

Abstract readReview
In one paragraph

Review in Chemical science, 2023. 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.

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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

6 authors.

Trisha R NickersonDepartment of Chemical and Biological Engineering, University of Colorado Boulder Boulder CO 80309 USA michael.toney@colorado.edu.
Emma N AntonioDepartment of Chemical and Biological Engineering, University of Colorado Boulder Boulder CO 80309 USA michael.toney@colorado.edu.ORCID https://orcid.org/0000-0003-3249-4837
Dylan P McNallyMaterials Science and Engineering Program, University of Colorado Boulder Boulder CO 80309 USA chunmei.ban@colorado.edu.
Michael F ToneyDepartment of Chemical and Biological Engineering, University of Colorado Boulder Boulder CO 80309 USA michael.toney@colorado.edu.ORCID https://orcid.org/0000-0002-7513-1166
Chunmei BanMaterials Science and Engineering Program, University of Colorado Boulder Boulder CO 80309 USA chunmei.ban@colorado.edu.ORCID https://orcid.org/0000-0002-1472-1496
Anthony P StraubMaterials Science and Engineering Program, University of Colorado Boulder Boulder CO 80309 USA chunmei.ban@colorado.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyamide reverse osmosis (PA-RO) membranes achieve remarkably high water permeability and salt rejection, making them a key technology for addressing water shortages through processes including seawater desalination and wastewater reuse. However, current state-of-the-art membranes suffer from challenges related to inadequate selectivity, fouling, and a poor ability of existing models to predict performance. In this Perspective, we assert that a molecular understanding of the mechanisms that govern selectivity and transport of PA-RO and other polymer membranes is crucial to both guide future membrane development efforts and improve the predictive capability of transport models. We summarize the current understanding of ion, water, and polymer interactions in PA-RO membranes, drawing insights from nanofiltration and ion exchange membranes. Building on this knowledge, we explore how these interactions impact the transport properties of membranes, highlighting assumptions of transport models that warrant further investigation to improve predictive capabilities and elucidate underlying transport mechanisms. We then underscore recent advances in

Identifiers

PMID36755730
PMCPMC9890600

What OpenQuestion holds

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LicenceCC BY
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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.