Recent Advances in Smart Contact Lenses

Joohee Kim, Eunkyung Cha, Jang Ung Park

Research output: Contribution to journalReview articlepeer-review

43 Citations (Scopus)


The eyes can provide rich physiological information and offer broad diagnostic potential as a sensing site, making the use of contact lens sensors viable for noninvasive monitoring of many diseases and conditions. Therefore, extensive research efforts recently are devoted to the development of smart contact lenses for healthcare monitoring. Herein, physical biomarkers, which can be obtained from the eyes, and chemical biomarkers, which can be obtained from tears are discussed. Then, the latest advances in smart contact lenses with biosensors that diagnose diseases are reviewed. The subsequent content summarizes and classifies the techniques that can be used for the transmission of data based on the methods to deliver physiological information. In addition, representative examples of other devices for drug delivery energy storage are provided, and the challenges that should be overcome to develop smart contact lenses are discussed.

Original languageEnglish
Article number1900728
JournalAdvanced Materials Technologies
Issue number1
Publication statusPublished - 2020 Jan 1

Bibliographical note

Funding Information:
J.K. and E.C. contributed equally to this work. This work was supported by the Ministry of Science & ICT (MSIT) and the Ministry of Trade, Industry and Energy (MOTIE) of Korea through the National Research Foundation (2019R1A2B5B03069358 and 2016R1A5A1009926), the Bio & Medical Technology Development Program (2018M3A9F1021649), the Nano Material Technology Development Program (2015M3A7B4050308 and 2016M3A7B4910635), and the Industrial Technology Innovation Program (10080577). Also, the authors thank financial support by the Institute for Basic Science (IBS-R026-D1), the Research Program (2018-22-0194), and Post Doc. Researcher Supporting program of 2019 (2019-12-0010) funded by Yonsei University.

Publisher Copyright:
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Mechanics of Materials
  • Industrial and Manufacturing Engineering


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