Evidence map›Paper›PMID 40041685›Full record

ArticleMacromolecules2025

Grazing Incidence Wide-Angle X-ray Scattering of Water Adsorption in Polyamide Barrier Layers of Reverse Osmosis Membranes.

Qinyi Fu, Size Zheng, Nisha Verma, Roberto Gambarini, Tao Wei, Benjamin M Ocko, Benjamin S Hsiao

Abstract read
In one paragraph

Article in Macromolecules, 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. 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.

Qinyi FuDepartment of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
Size ZhengDepartment of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
Nisha VermaDepartment of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
Roberto GambariniDepartment of Chemical Engineering, University of South Carolina, Columbia, South Carolina 29208, United States.
Tao WeiDepartment of Chemical Engineering, University of South Carolina, Columbia, South Carolina 29208, United States.
Benjamin M OckoNational Synchrotron Light Source II, Brookhaven National Laboratory, Upton, New York 11973, United States.ORCID https://orcid.org/0000-0003-2596-1206
Benjamin S HsiaoDepartment of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.ORCID https://orcid.org/0000-0002-3180-1826

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the relationship between the intermolecular structure of aromatic polyamide (PA) scaffold and the water molecules in the barrier layers of reverse osmosis (RO) membranes, a grazing incidence wide-angle X-ray scattering (GIWAXS) study was carried out on freestanding PA thin films at varying relative humidity (RH) conditions. The scattering results were analyzed by an interference scattering model, containing a phase factor between a PA chain and an adsorbed water molecule. This model yielded good fits to the GIWAXS profiles where the water adsorption was found to vary linearly with RH. Atomistic molecular dynamics (MD) simulations were also performed to complement the experimental study. The simulations revealed that a rapid condensation layer initially formed on the PA film surface, followed by the slow water molecule diffusion inside the PA membrane. Sparse adsorbed water, isolated in subnanopores of the PA film adjacent to the polar atoms, even in very low quantities, modifies the X-ray scattering. Atomistic simulations at the microscopic scale provide partial support for several X-ray scattering findings.

Identifiers

PMID40041685
PMCPMC11875081

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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.