Evidence map›Paper›PMID 41828273›Full record

ArticleMaterials (Basel, Switzerland)2026

Multi-Objective Optimization of Mechanical and Geometric Properties of 3D-Printed PLA Porous Scaffolds for Biomedical Applications.

Alejandro González González, Patricia C Zambrano-Robledo, Deivis Avila, Marcelino Rivas, Ramón Quiza

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

5 authors.

Alejandro González GonzálezCentro de Estudio de Fabricación Avanzada y Sostenible (CEFAS), Universidad de Matanzas, Matanzas 40100, Cuba.ORCID 0000-0003-2904-9660
Patricia C Zambrano-RobledoCentro de Innovación e Investigación en Ingeniería Aeronáutica, Facultad de Ingeniería Mecánica y Eléctrica, Universidad Autónoma de Nuevo León, San Nicolás de los Garza 66455, NL, Mexico.ORCID 0000-0002-9491-0069
Deivis AvilaEscuela Politécnica Superior de Ingeniería, Universidad de La Laguna (ULL), Avenida Ángel Guimerá Jorge, s/n. 456-38200, 38200 Santa Cruz de Tenerife, Tenerife, Spain.ORCID 0000-0001-6460-7571
Marcelino RivasCentro de Estudio de Fabricación Avanzada y Sostenible (CEFAS), Universidad de Matanzas, Matanzas 40100, Cuba.
Ramón QuizaCentro de Estudio de Fabricación Avanzada y Sostenible (CEFAS), Universidad de Matanzas, Matanzas 40100, Cuba.ORCID 0000-0003-1293-6044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porous scaffolds fabricated via fused deposition modeling (FDM) are promising for bone tissue engineering, but their mechanical performance and geometric fidelity are governed by complex interactions between process parameters and architectural design. This study presents a multi-objective optimization framework for poly (lactic acid) (PLA) scaffolds based on three triply periodic minimal surface (TPMS) topologies-Gyroid, Primitive, and Diamond. A Box-Behnken design combined with response surface methodology was used to model compressive strength, elastic modulus, yield strength, energy absorption density, and discrepancies in volume and porosity as functions of layer thickness (0.05-0.15 mm), extrusion temperature (210-220 °C), and target porosity (50-70%). The resulting quadratic models exhibited strong predictive capability (R

Indexed as

biomedical scaffoldsfused deposition modelingmulti-objective optimizationobjective reductionresponse surface methodologytriply periodic minimal surfaces

Identifiers

PMID41828273
PMCPMC12986510

What OpenQuestion holds

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Registered trials

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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.