Evidence map›Paper›PMID 41807651›Full record

ArticleScientific reports2026

Performance improvements of recycled concrete and ceramic aggregates using graphene oxide nanocoating.

Andrea Antolín-Rodríguez, Julia García-González, Manuel Ignacio Guerra-Romero, Andrés Juan-Valdés

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

4 authors.

Andrea Antolín-RodríguezINMATECO Research Group (Engineering for Materials and Eco-Efficiency), Department of Agricultural Engineering and Sciences, University of Leon, León, Spain. aantolin@comillas.edu.
Julia García-GonzálezINMATECO Research Group (Engineering for Materials and Eco-Efficiency), Department of Agricultural Engineering and Sciences, University of Leon, León, Spain.
Manuel Ignacio Guerra-RomeroINMATECO Research Group (Engineering for Materials and Eco-Efficiency), Department of Agricultural Engineering and Sciences, University of Leon, León, Spain.
Andrés Juan-ValdésINMATECO Research Group (Engineering for Materials and Eco-Efficiency), Department of Agricultural Engineering and Sciences, University of Leon, León, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Construction and demolition waste (CDW) represents-35% of global waste and-40% of related emissions. Recycled aggregates from CDW support sustainability and circular economy strategies. This study investigates the enhancement of recycled concrete and ceramic aggregates using graphene oxide (GO) nanocoating, applied without coupling agents. The coating removes fine particles from aggregate surfaces and provides waterproofing. Ceramic particles, due to higher porosity, absorb more GO than concrete particles. Experimental results show water absorption reductions of 19% (concrete) and 25% (ceramic) aggregates. GO forms a uniform layer, decreases microporosity, preserves surface roughness, and reduces particle detachment by 17% and 25% for concrete and ceramic aggregates, respectively. SEM analysis confirms a pore-filling effect consistent with waterproof behavior. These findings demonstrate the GO nanocoating effectively improves durability and performance of recycled aggregates, offering a practical route towards sustainable construction materials.

Indexed as

Construction and demolition wasteGraphene oxideSurface nanoengineeringUltrasonic attackWater absorption

Identifiers

PMID41807651
PMCPMC13096131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.