Evidence map›Paper›PMID 42106352›Full record

ArticleScientific reports2026

Robust ZIF-67/AC/PDMS hybrid nanocomposite for superhydrophobic steel protection.

Huda F Khalil, Mohamed Abdel Rafea, Mervette El-Batouti, Sara Gad, Mohamed H Eisa, Sherif G Elsharkawy

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Huda F KhalilElectronic Materials Department, Advanced Technology and New Material Institute (ATNMI), City of Scientific Research and Technological Applications (SRTA-City), Alexandria, 21934, Egypt. Hudafarid85@gmail.com.
Mohamed Abdel RafeaDepartment of Physics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Saudi Arabia.
Mervette El-BatoutiChemistry Department, Faculty of Science, Alexandria University, Alexandria, 21934, Egypt.
Sara GadElectronic Materials Department, Advanced Technology and New Material Institute (ATNMI), City of Scientific Research and Technological Applications (SRTA-City), Alexandria, 21934, Egypt.
Mohamed H EisaDepartment of Physics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Saudi Arabia.
Sherif G ElsharkawyBasic and Applied Sciences, College of Engineering and Technology, AASTMT, 21934, Alexandria, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A superhydrophobic coating synthesized from Cobalt-based Zeolitic Imidazolate Framework (ZIF-67), Activated Carbon (AC), and Polydimethylsiloxane (PDMS) was successfully fabricated on a steel substrate. This coating was synthesized with concentration ratios S2 (1 wt% ZIF-67), S3 (3 wt% ZIF-67), S4 (5 wt% ZIF-67) and S5 (7 wt% ZIF-67), respectively. XRD and HR-TEM were applied to examine the crystalline structure and morphology of the synthesized nanocomposite. The results revealed S4 (5 wt% ZIF-67) composite as an optimized coating as it performed an exceptional surface wettability with a water contact angle (WCA) of 170° and superior chemical stability. Long-time laps of immersion tests in different pH range (3-11) nominated the S4 coating for retaining superhydrophobic integrity over 48 h, even placed in aggressive acidic or alkaline media. Electrochemical Impedance Spectroscopy (EIS) confirmed a robust corrosion protection performance of the S4 coating, as it recorded a high charge transfer resistance (R

Indexed as

AnticorrosionCassie-Baxter stateContact angleHybrid nanocompositesSurface roughness

Identifiers

PMID42106352
PMCPMC13157503

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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.