Evidence map›Paper›PMID 42477324›Full record

ArticleScientific reports2026

Introducing a recycling method for iron oxide from cold forming mild scale and its application in alkyd resin-based primer paint.

Seyyed Majid Peighambari Sattari, Majid Kavanlouei, Seyyed Ahmadreza Khajehmohammadilar

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

3 authors.

Seyyed Majid Peighambari SattariDepartment of Materials Engineering, Urmia University of Technology, Urmia, P.O.Box 57155-419, Urmia, Iran. majid.peighambari@uut.ac.ir.
Majid KavanloueiDepartment of Materials Science and Engineering, Faculty of Engineering, Urmia University, Urmia, Iran. m.kavanlouei@urmia.ac.ir.
Seyyed Ahmadreza KhajehmohammadilarResearch Centre for Advanced Materials, Faculty of Materials Engineering, Sahand University of Technology, P.O.Box 51335-1996, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Millions of tons of iron oxide-rich sludge waste are generated yearly by the steelmaking industry, posing significant environmental disposal challenges. This study aimed to develop a sustainable and economical technology by recycling this secondary material, specifically cold-forming oxide sludge, into a high-performance iron oxide pigment for use in corrosion-resistant coatings. The methodology involved a multi-stage purification process applied to the raw sludge: initial drying, separation of organic contaminants using a methanol solvent, magnetic separation to remove residual iron, and subsequent fine mechanical milling using a jet mill. The resulting powder was subjected to a crucial heat treatment at 400 ℃ to homogenize the microstructure. Finally, the refined iron oxide powder was mixed with an alkyd resin base and additives to successfully formulate a dark brown, liquid anti-rust and corrosion primer paint. The structural and chemical purity of the recovered pigment were characterized using XRD and XRF, while particle size and morphology were determined via DLS and SEM analysis, which indicated a particle size of approximately 50 to 100 nm. The performance of the final paint was rigorously validated against the ISIRI 4817 standard, employing tests such as salt spray (ASTM B117), pull-off adhesion (ASTM D4541), scratch resistance, humidity exposure, and resistance to petroleum solvents. The material characterization confirmed the successful recovery of the desired iron oxide phases (Fe

Indexed as

Corrosion resistanceOxide scalePigmentRecyclingSteel forming

Identifiers

PMID42477324
PMCPMC13385697

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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.