Evidence map›Paper›PMID 36660750›Full record

Article3D printing and additive manufacturing2022

A Micro-Scale Non-Linear Finite Element Model to Optimize the Mechanical Behavior of Bioprinted Constructs.

Abhinaba Banerjee, Sudipto Datta, Ankita Das, Amit Roy Chowdhury, Pallab Datta

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2022. 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.

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.

Abhinaba BanerjeeDepartment of Mechanical Engineering, Indian Institute of Engineering Science and Technology, Howrah, India.ORCID https://orcid.org/0000-0002-7425-1561
Sudipto DattaCentre for Healthcare Science and Technology, Indian Institute of Engineering Science and Technology, Howrah, India.
Ankita DasCentre for Healthcare Science and Technology, Indian Institute of Engineering Science and Technology, Howrah, India.
Amit Roy ChowdhuryDepartment of Aerospace Engineering and Applied Mechanics, Indian Institute of Engineering Science and Technology, Howrah, India.
Pallab DattaDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Kolkata, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extrusion-based bioprinting is an enabling biofabrication technique that is used to create heterogeneous tissue constructs according to patient-specific geometries and compositions. The optimization of bioinks as per requirements for specific tissue applications is an essential exercise in ensuring clinical translation of the bioprinting technologies. Most notably, optimum hydrogel polymer concentrations are required to ensure adequate mechanical properties of bioprinted constructs without causing significant shear stresses on cells. However, experimental iterations are often tedious for optimizing the bioink properties. In this work, a nonlinear finite element modeling approach has been undertaken to determine the effect of different bioink parameters such as composition, concentration on the range of stresses being experienced by the cells in the bioprinted construct. The stress distribution of the cells at different parts of the constructs has also been modeled. It is found that both bioink chemical compositions and concentrations can substantially alter the stress effects experienced by the cells. Concentrated regions of softer cells near pore regions were found to increase stress concentrations by almost three times compared with stress generated in cells away from the pores. The study provides a method for rapid optimization of bioinks, design of bioprinted constructs, as well as toolpath plans for fabricating constructs with homogenous properties.

Indexed as

bioinkbioprintingcell concentrationfinite element modelingstress

Identifiers

PMID36660750
PMCPMC9831571

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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.