Evidence map›Paper›PMID 41502686›Full record

ArticleACS omega2025

Sustainable Optimization of Lightweight Aggregate Production from Bauxite Residue via Nonlinear Programming.

Larissa Pereira de Siqueira, Hugo Fernando Meiguins da Silva, Mailson Batista de Vilhena, Agenor Sousa Santos Neto, Bruno Marques Viegas, José Antônio da Silva Souza, Emanuel Negrão Macêdo

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

7 authors.

Larissa Pereira de SiqueiraFaculty of Chemical Engineering, Federal University of Pará, Belém 66075-110, Brazil.
Hugo Fernando Meiguins da SilvaFaculty of Chemical Engineering, Federal University of Pará, Belém 66075-110, Brazil.
Mailson Batista de VilhenaDepartment of Production Engineering, State University of Amapá, Macapá 68900-070, Brazil.
Agenor Sousa Santos NetoDepartment of Production Engineering, State University of Amapá, Macapá 68900-070, Brazil.
Bruno Marques ViegasGraduate Program in Biotechnology, Federal University of Pará, Belém 66075-110, Brazil.ORCID https://orcid.org/0000-0002-2768-652X
José Antônio da Silva SouzaGraduate Program in Process Engineering, Federal University of Pará, Belém 66075-110, Brazil.
Emanuel Negrão MacêdoFaculty of Chemical Engineering, Federal University of Pará, Belém 66075-110, Brazil.ORCID https://orcid.org/0000-0002-4652-8316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, lightweight aggregates were developed from mixtures of bauxite residue and clay, using a nonlinear programming model to determine the optimum composition. The aggregates were characterized using TGA/DTG/DSC analysis, X-ray diffraction, scanning electron microscopy and physical tests of apparent density, porosity and water absorption, carried out on three samples (BR50, BR30.50 and BR0). The results showed that the bauxite residue favored the formation of amorphous and porous phases, reducing the density of the aggregates. A nonlinear programming model was developed to determine the optimal composition of a lightweight aggregate, resulting in a mixture containing 30.50% bauxite residue and 69.50% clay. This composition yielded a material with a density of 0.78 ± 0.03 g/cm

Identifiers

PMID41502686
PMCPMC12771972

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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.