Evidence map›Paper›PMID 40219227›Full record

ArticlePolymers2025

Elasticity in Porous 3D-Printed Polylactic Acid Scaffolds for Biomedical Applications: A Predictive Approach.

Matteo Sestini, Dario Puppi, Simona Braccini, Teresa Macchi, Beata Matungano, Sven Macolic, Tommaso Guazzini, Gianluca Parrini, Mario Milazzo, Serena Danti

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Matteo SestiniDepartment of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 2, 56122 Pisa, Italy.ORCID 0009-0001-6955-1244
Dario PuppiDepartment of Chemistry and Industrial Chemistry, University of Pisa, Via Moruzzi 13, 56124 Pisa, Italy.ORCID 0000-0002-9251-4388
Simona BracciniDepartment of Chemistry and Industrial Chemistry, University of Pisa, Via Moruzzi 13, 56124 Pisa, Italy.ORCID 0000-0001-8188-9726
Teresa MacchiConsorzio Interuniversitario Nazionale per la Scienza e Tecnologia dei Materiali (INSTM), via G. Giusti 9, 50121 Florence, Italy.
Beata MatunganoDepartment of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 2, 56122 Pisa, Italy.
Sven MacolicDepartment of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 2, 56122 Pisa, Italy.
Tommaso GuazziniL.M.P.E. S.r.l. S.B., Parco Scientifico di Capannori, Via Nuova, 44/A, 55018 Capannori, Italy.
Gianluca ParriniFabrica Machinale, Via Giuntini 13, Cascina, 56021 Pisa, Italy.
Mario MilazzoDepartment of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 2, 56122 Pisa, Italy.ORCID 0000-0001-8429-5544
Serena DantiDepartment of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 2, 56122 Pisa, Italy.ORCID 0000-0002-8155-8537

Funding

PNRR - MISSION 4 COMPONENT 2 INVESTMENT 1.4 CENTRE "National Centre for HPC, Big Data and Quantum Computing (CN1) Project code CN00000013, CUP I53C22000690001
6 · The paper itself

Abstract

Additive manufacturing (AM) is rapidly advancing, particularly in biomedical applications, necessitating a deeper understanding of the mechanical behavior of 3D-printed materials. Structures created using fused deposition modeling (FDM) exhibit anisotropic properties due to fabrication inhomogeneity and material architecture. Finite element modeling (FEM) is commonly used to predict mechanical behavior, though studies on porous structures have not deeply investigated the influence of geometrical features on global mechanical behavior. This study aimed to correlate the mechanical properties of porous polylactic acid scaffolds with different patterns and infill densities, fabricated via AM through the synergies of experimental and computational approaches. Tensile testing and FEM simulations were conducted, revealing differences in elastic modulus and tensile strength based on infill orientation. A sensitivity analysis on the main geometrical features assessed variations in filament dimensions and layer spacing. FEM simulations showed strong agreement with experimental data, validating their predictive capability, with deviations due to minor structural defects and irregularities in the extruded filaments. This study established for the first time the influence of geometrical details on the elastic properties of porous scaffolds, opening up to new tailored design for, but not limited to, biomedical applications.

Indexed as

additive manufacturingbiomaterialscomputational materials sciencefinite element modelingsensitivity analysis

Identifiers

PMID40219227
PMCPMC11991604

What OpenQuestion holds

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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.