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Functionally graded biomimetic biomaterials in dentistry: an evidence-based update

  • University of Oslo
  • Kuwait University
  • Taibah University
  • Riphah International University
  • Dar Al Uloom University
  • King Saud University
  • International Medical University

Research output: Contribution to journalReview articlepeer-review

24 Scopus citations

Abstract

Design and development of novel therapeutic strategies to regenerate lost tissue structure and function is a serious clinical hurdle for researchers. Traditionally, much of the research is dedicated in optimising properties of scaffolds. Current synthetic biomaterials remain rudimentary in comparison to their natural counterparts. The ability to incorporate biologically inspired elements into the design of synthetic materials has advanced with time. Recent reports suggest that functionally graded material mimicking the natural tissue morphology can have a more exaggerated response on the targeted tissue. The aim of this review is to deliver an overview of the functionally graded concept with respect to applications in clinical dentistry. A comprehensive understanding of spatiotemporal arrangement in fields of restorative, prosthodontics, periodontics, orthodontics and oral surgery is presented. Different processing techniques have been adapted to achieve such gradients ranging from additive manufacturing (three dimensional printing/rapid prototyping) to conventional techniques of freeze gelation, freeze drying, electrospinning and particulate leaching. The scope of employing additive manufacturing technique as a reliable and predictable tool for the design and accurate reproduction of biomimetic templates is vast by any measure. Further research in the materials used and refinement of the synthesis techniques will continue to expand the frontiers of functionally graded membrane based biomaterials application in the clinical domain.

Original languageEnglish
Pages (from-to)1144-1162
Number of pages19
JournalJournal of Biomaterials Science, Polymer Edition
Volume31
Issue number9
DOIs
StatePublished - 12 Jun 2020
Externally publishedYes

Keywords

  • Computational modelling
  • dentistry
  • finite element analysis
  • functional gradients
  • membranes
  • tissue regeneration

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