Evidence map›Paper›PMID 40568536›Full record

ArticleIndustrial & engineering chemistry research2025

Characterizing Transport Properties of Surface Charged Nanofiltration Membranes via Model-Based Data Analytics.

Xinhong Liu, Laurianne Estrada, Jonathan A Ouimet, Matthew McClure, David R Latulippe, William A Phillip, Alexander W Dowling

Abstract read
In one paragraph

Article in Industrial & engineering chemistry research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Interfacial electroneutrality controls transport of asymmetric salts through charge-patterned mosaic membranes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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.

Xinhong LiuDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.ORCID https://orcid.org/0000-0002-9051-2469
Laurianne EstradaDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.
Jonathan A OuimetDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.ORCID https://orcid.org/0000-0001-7545-3176
Matthew McClureDepartment of Chemical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.
David R LatulippeDepartment of Chemical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID https://orcid.org/0000-0003-2873-0606
William A PhillipDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.ORCID https://orcid.org/0000-0001-8871-585X
Alexander W DowlingDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.ORCID https://orcid.org/0000-0001-9383-7499

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents an integrated framework for characterizing the transport properties of surface-charged nanofiltration (NF) membranes through dynamic diafiltration experiments and model-based data analytics. By incorporating startup dynamics, time corrections, and the influence of water flux on solute permeation, the framework effectively captures key transport properties governing membrane performance. A comparison of lag and overflow experimental modes highlights the superior precision of the lag startup mode, improving parameter estimates by 8%, 138%, and 83% as quantified by A-, D-, and E-optimality, respectively. Diafiltration experiments in the diluting regime further enhance model discrimination, enabling the identification of dominant transport mechanisms. This work marks a step toward developing self-driving laboratories (SDLs) that leverage model-based design of experiments (MBDoE) to expedite the characterization and development of high-performance NF membranes. The framework provides critical insights into transport phenomena, enabling the inverse design of membranes tailored to the demands of modern separation systems.

Identifiers

PMID40568536
PMCPMC12186744

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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.