Evidence map›Paper›PMID 42105064›Full record

ArticleEnvironmental science and pollution research international2026

Effect of mineralization of Erythrina poeppigiana particles and accelerated carbonation on the properties of fiber cement.

Lúcia Maria Joaquim Assane, Ianca Oliveira Borges, Felipe Gomes Batista, Lorran de Sousa Arantes, Murilo Daniel de Mello Innocentini, Ricardo Gabriel de Almeida Mesquita, José Benedito Guimarães Junior, Lourival Marin Mendes

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Article in Environmental science and pollution research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

5 · Who and what money

Authors and funding

8 authors.

Lúcia Maria Joaquim AssaneDepartment of Forest Sciences, Federal University of Lavras, Lavras, Brazil.
Ianca Oliveira BorgesDepartment of Forest Sciences, Federal University of Lavras, Lavras, Brazil. iancaborges@hotmail.com.ORCID http://orcid.org/0000-0003-4370-4705
Felipe Gomes BatistaDepartment of Forest Sciences, Federal University of Lavras, Lavras, Brazil.
Lorran de Sousa ArantesDepartment of Forest Sciences, Federal University of Lavras, Lavras, Brazil.
Murilo Daniel de Mello InnocentiniDepartment of Forest Sciences, Federal University of Lavras, Lavras, Brazil.
Ricardo Gabriel de Almeida MesquitaDepartment of Forest Sciences, Federal University of Lavras, Lavras, Brazil.
José Benedito Guimarães JuniorDepartment of Forest Sciences, Federal University of Lavras, Lavras, Brazil.
Lourival Marin MendesDepartment of Forest Sciences, Federal University of Lavras, Lavras, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fiber cement is widely used in the construction industry due to its satisfactory physical and mechanical properties. However, the need to enhance these characteristics has driven research focused on the development of new additives and the optimization of manufacturing processes. In this context, the present study aimed to develop and evaluate extruded fiber cement composites reinforced with Erythrina poeppigiana particles. The particles were mineralized with 9% aluminum sulfate [Al₂(SO₄)₃] and chemically characterized. The composites were produced using 66.7% Portland cement (CPV-ARI), 28.3% limestone, and 5% particles. After 72 h of curing, the specimens underwent accelerated carbonation for 24 h. Composite analyses were performed after 28 days of curing. The combination of aluminum sulfate treatment and carbonation (STMC) resulted in composites with improved performance, as evidenced by increased flexural strength (MOR), modulus of elasticity (MOE), and toughness, along with a significant reduction in porosity, water absorption, thermal conductivity, and air permeability. These results demonstrate the technical feasibility of the treated composites, indicating their potential for application in construction systems requiring high structural performance and durability.

Indexed as

Construction MaterialsMaterials TestingPermeabilityPorosityAccelerated carbonationAluminum sulfateCalcium carbonateDurabilityFiber cement composites

Identifiers

PMID42105064
PMCPMC13190822

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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.