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Cardiovascular and Respiratory Bioengineering1 January 2022, Pages 213-224

Tissue engineering—Electrospinning approach
  (Book Chapter)

  • Živanović, M.N.,
  • Filipovic, N.
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  • aDepartment of Science, University of Kragujevac, Institute of Information Technologies Kragujevac, Jovana, Kragujevac, 34000, Serbia
  • bUniversity of Kragujevac, Faculty of Engineering, Sestre Janjić 6, Kragujevac, 34000, Serbia

Abstract

The topic of tissue engineering is very important nowadays. One of the main tasks of today's science is tissue and organ regeneration and replacement. The use of electrospinning for this purpose is specifically addressed in this chapter. The use of electrospinning in tissue engineering is relatively new compared to other methodologies. The production of scaffolds is a great challenge, primarily due to the standardization of the methodology for obtaining materials with exactly the desired characteristics. In short, a scaffold must be biocompatible, biodegradable, nontoxic, elastic, and should have sufficient mechanical strength. So far, such materials have found application in the regeneration of various tissues: skin, cartilage, bone, cardiac, vascular, nerve, etc. This chapter gives a clear overview of the basic materials, their characterization, and finally, their use. In particular, the use of artificial intelligence and mathematical modeling technologies for the purpose of predicting optimal scaffolds parameters should not be neglected. Although much progress has been made toward the production and autotransplantation of new tissues, much more needs to be done until full clinical application. © 2022 Elsevier Inc. All rights reserved.

Author keywords

ElectrospinningScaffoldsTissue engineering
  • ISBN: 978-012823956-8;978-012824229-2
  • Source Type: Book
  • Original language: English
  • DOI: 10.1016/B978-0-12-823956-8.00002-X
  • Document Type: Book Chapter
  • Publisher: Elsevier


© Copyright 2022 Elsevier B.V., All rights reserved.

Cited by 1 document

Virijevic, K. , Živanovic, M.N. , Nikolic, D.
AI-Driven Optimization of PCL/PEG Electrospun Scaffolds for Enhanced In Vivo Wound Healing
(2024) ACS Applied Materials and Interfaces
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