JOURNAL ARTICLE

Corneal bioengineering via electrospun nanofibers and nanoparticles.

  • Published In: Journal of Biomaterials Applications, 2026, v. 40, n. 9. P. 1094 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Salehi, Majid; Arabpour, Zohreh; Zamani, Sepehr; Alizadeh, Morteza; Gharibshahiyan, Maliheh; Rezvani, Milad; Aldaghi, Niloofar; Yekesadat, Seyed Meysam; R Djalilian, Ali 3 of 3

Abstract

This article focuses on the application of nanotechnology in corneal tissue engineering, emphasizing the use of electrospun nanofibrous scaffolds and polymeric nanoparticles to improve corneal repair and drug delivery. Nanomaterials enhance scaffold properties such as mechanical strength, optical transparency, permeability, and enable targeted, sustained release of therapeutic agents to address inflammation, infection, and neovascularization. Both natural and synthetic polymers, alone or in hybrid composites, are employed to fabricate biocompatible, biodegradable scaffolds that mimic the corneal extracellular matrix and support cellular adhesion, proliferation, and differentiation. The review also discusses characterization methods for engineered scaffolds, preclinical testing models, and highlights challenges including achieving controlled degradation, maintaining optical clarity, and replicating the cornea’s multilayered structure. Future directions suggest integrating nanotechnology with bioprinting, stem cell therapy, and stimulus-responsive materials to develop patient-specific, multifunctional corneal constructs for clinical translation.

Additional Information

  • Source:Journal of Biomaterials Applications. 2026/04, Vol. 40, Issue 9, p1094
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2026
  • ISSN:0885-3282
  • DOI:10.1177/08853282251393784
  • Accession Number:192008698
  • Copyright Statement:Copyright of Journal of Biomaterials Applications is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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