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Related Experiment Video

Updated: Oct 21, 2025

Core/shell Printing Scaffolds For Tissue Engineering Of Tubular Structures
05:52

Core/shell Printing Scaffolds For Tissue Engineering Of Tubular Structures

Published on: September 27, 2019

9.5K

Extrusion-based 3D (Bio)Printed Tissue Engineering Scaffolds: Process-Structure-Quality Relationships.

Samuel Gerdes1, Srikanthan Ramesh2, Azadeh Mostafavi1

  • 1Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, Nebraska 68588-0526, United States.

ACS Biomaterials Science & Engineering
|September 9, 2021
PubMed
Summary

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This summary is machine-generated.

Biological additive manufacturing (Bio-AM) creates tissue scaffolds but can introduce defects affecting mechanical properties and cell response. This review details extrusion-based Bio-AM, defect causes, detection, and future research directions.

Area of Science:

  • Biomaterials Science
  • Tissue Engineering
  • Additive Manufacturing

Background:

  • Biological additive manufacturing (Bio-AM) offers precise fabrication of biomimetic scaffolds for tissue engineering.
  • However, Bio-AM processes are prone to defects that compromise scaffold integrity and biological performance.

Purpose of the Study:

  • To review extrusion-based Bio-AM processes for scaffold fabrication.
  • To identify factors contributing to scaffold defects and their impact on mechanical properties and cellular responses.
  • To discuss defect detection methods and future research directions.

Main Methods:

  • Review of extrusion-based Bio-AM techniques.
  • Analysis of architectural and mechanotransduction parameters influencing cell-scaffold interactions.
Keywords:
3D printingBio-AMdefectsmaterial rheologyscaffoldstissue engineering

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  • Examination of defect formation mechanisms and detection tools.
  • Main Results:

    • Bio-AM defects stem from material issues, processing parameters, environmental factors, and design flaws.
    • These defects significantly alter scaffold mechanical properties and lead to unpredictable cellular behavior.
    • Various tools exist for detecting defects in fabricated scaffolds.

    Conclusions:

    • Addressing defects in Bio-AM is crucial for reliable tissue engineering scaffold development.
    • Further research is needed to overcome current limitations and advance Bio-AM technologies.
    • Optimizing Bio-AM processes will enhance scaffold performance and predictability.