Evidence map›Paper›PMID 42757172›Full record

ArticleNature water2025

Design principles of catalytic reactive membranes for water treatment.

Yanghua Duan, Ruoyu Wang, Amit N Shocron, Menachem Elimelech

Abstract read
In one paragraph

Article in Nature water, 2025. 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. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Stable TiMembranes · 2025
    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

4 authors.

Yanghua DuanDepartment of Civil and Environmental Engineering, Rice University, Houston, TX, USA.ORCID 0000-0003-2587-1278
Ruoyu WangDepartment of Civil and Environmental Engineering, Rice University, Houston, TX, USA.
Amit N ShocronDepartment of Chemical and Environmental Engineering, Yale University, New Haven, CT, USA.ORCID 0000-0002-9247-905X
Menachem ElimelechDepartment of Civil and Environmental Engineering, Rice University, Houston, TX, USA.ORCID 0000-0003-4186-1563

Funding

SENSORS FOR WATER CONTAMINANT DETECTION AND MONITORINGP42ES033815 · NIEHS · YALE UNIVERSITY · PI VASILIS VASILIOU · 2022 to 2026
$9.5M
NIEHS NIH HHS P42 ES033815
6 · The paper itself

Abstract

Reactive nanofiltration membranes integrate catalytic transformation with molecular separation to remove diverse aqueous contaminants. However, their development is hindered by an incomplete understanding of the interplay between solute mass transport and chemical reactions. Here we introduce key design principles by systematically evaluating their performance using a modelling approach. Efficient oxidant transport is essential for maximizing contaminant degradation. For membranes with surface-loaded catalysts, avoiding mass transport limitations ensures effective catalyst utilization, whereas for membranes with interior-loaded catalysts, optimizing oxidant partitioning enhances oxidant utilization efficiency. In addition, selective solute rejection reduces interference from natural organic matter, facilitating more selective contaminant transformation inside membrane pores. Consequently, contaminant transformation is dominated by surface-catalysed reactions at low permeate water fluxes, while interior-catalysed reactions dominate at high fluxes. However, rejecting both oxidants and contaminants does not enhance surface-catalysed treatment performance under an optimally designed scenario, highlighting the need for strategic design of membrane rejection. Beyond organic contaminant removal, nanofiltration membranes also minimize secondary contamination by rejecting the produced salts during the catalytic reactions. Furthermore, strategic selection of oxidant-catalyst pairs can enhance treatment performance by generating suitable reactive species. By establishing a theoretical framework for designing and optimizing reactive nanofiltration membranes, this study provides critical insights into the development of advanced water treatment technologies.

Identifiers

PMID42757172
PMCPMC13584355

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.