Evidence map›Paper›PMID 42041505›Full record

ArticleBiomimetics (Basel, Switzerland)2026

An Experimental Measurement Method to Characterize and Apply Platinum Silicon Material for a Biomechanical Replica of the Thoracic Aorta.

Mario Alberto Grave-Capistrán, Francesco Lamonaca, Giuseppe Carbone, Christopher René Torres-SanMiguel

Abstract read
In one paragraph

Article in Biomimetics (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.

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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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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.

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4 · The record

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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.

Mario Alberto Grave-CapistránInstituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica, Sección de Estudios de Posgrado e Investigación, Unidad Zacatenco, Mexico City 07738, Mexico.ORCID 0000-0003-0911-4963
Francesco LamonacaDepartment of Computer Science, Modelling, Electronic and System Science, University of Calabria, 87036 Rende, Italy.ORCID 0000-0002-6263-8929
Giuseppe CarboneDepartment of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy.ORCID 0000-0003-0831-8358
Christopher René Torres-SanMiguelInstituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica, Sección de Estudios de Posgrado e Investigación, Unidad Zacatenco, Mexico City 07738, Mexico.ORCID 0000-0003-0291-7384

Funding

Secretaría de Educación, Ciencia, Tecnología e innovación SECTEI/025/2024Secretaria de Investigación y Posgrado / IPN SIP 20250106Secretaria de Investigación y Posgrado / IPN SIP 20250288
6 · The paper itself

Abstract

Currently, silicone is a common material used in medical research and biomedical applications. This research aims to characterize extra-soft platinum silicone (shore A 00 50) and compare its mechanical behavior with that of the human thoracic aorta. By developing molds to get samples, for tensile testing according to ISO 37 and ASTM D412, and for compression testing according to ISO 7743 and ASTM D575, using a universal testing machine for tensile and compression tests, and applying digital image correlation (DIC) algorithms, the mechanical properties were characterized in a total of 10 tensile samples and 6 compression samples. The results show an ultimate tensile strength up to 1.77 ± 0.12 MPa in the ASTM samples and 2.10 ± 0.14 MPa in the ISO samples; alongside an incremental elastic module of 80.08 ± 7.94 kPa and 117.98 ± 11.39 kPa; finally, an elongation at break of 1114.49 ± 76.77% and 936.08 ± 63.56%, corresponding to the values of a healthy thoracic aorta. The replica of the thoracic aorta in this material was developed by a brush method, with a thickness of 1.82 mm, a length from the aortic arch to the descending aorta of 200.49 mm, and diameters of 20.45 and 16.05 mm for the ascending and descending aorta, respectively.

Indexed as

biomechanical applicationDIC methodmechanical characterizationplatinum siliconethoracic aortauncertainty

Identifiers

PMID42041505
PMCPMC13113696

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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.