JOURNAL ARTICLE

Intraocular Pressure Monitoring Smart Contact Lens with High Environmental Stability.

  • Published In: Advanced Functional Materials, 2024, v. 34, n. 34. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yang, Huan; Zhu, Hengtian; Liu, Hanwen; Mao, Zhengyi; Luo, Junxian; Zhu, Shugeng; Hu, Zizhong; Yuan, Songtao; Xu, Fei 3 of 3

Abstract

Smart contact lenses (SCLs), integrating various functional components, serve as a platform for wirelessly intraocular pressure (IOP) monitoring. Accurate and dynamic measurements offer crucial clinical references for patients with ocular hypertension. Nevertheless, the complex ocular environment poses great challenges, particularly for inductor–capacitor–resistor (LCR) type IOP sensors, which suffer signal instability due to variations of ocular dielectric properties. Here, an innovative IOP monitoring sensor with robust environmental stability, achieved by integrating the ground shield, is proposed. Employing a capacitive pressure sensor with porous polydimethylsiloxane (PDMS) structure encased in a hydrogel, the study successfully demonstrates high‐sensitivity monitoring of IOP changes using in vitro porcine eyes. This optimized design empowers the wireless IOP sensor with a sensitivity of 1.15 ‰/mmHg. It exhibits exceptional frequency stability after undergoing 100 wear cycles on ten distinct porcine eyes and remains reliable across a wide range of metabolite concentrations typical of normal eyes. Notably, any observed frequency shift translates into IOP changes within a 3 mmHg range, showcasing its suitability for repeated use and daily IOP monitoring. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Advanced Functional Materials. 2024/08, Vol. 34, Issue 34, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:1616-301X
  • DOI:10.1002/adfm.202400722
  • Accession Number:179169187
  • Copyright Statement:Copyright of Advanced Functional Materials is the property of Wiley-Blackwell 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.