journal article·2024-06-10

Smart Contact Lens for Colorimetric Visualization of Glucose Levels in the Body Fluid

Jeongin Seo, Jumi Kang, Jungwoo Kim, Hyeju Han, Minok Park, Mikyung Shin, Kyueui Lee

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Abstract

Frequent blood glucose monitoring is a crucial routine for diabetic patients. Traditional invasive methods can cause discomfort and pain and even pose a risk of infection. As a result, researchers have been exploring noninvasive techniques. However, a limited number of products have been developed for the market due to their high cost. In this study, we developed a low-cost, highly accessible, and noninvasive contact lens-based glucose monitoring system. We functionalized the surface of the contact lens with boronic acid, which has a strong but reversible binding affinity to glucose. To achieve facile conjugation of boronic acid, we utilized a functional coating layer called poly(tannic acid). The functionalized contact lens binds to glucose in body fluids (e.g., tear) and releases it when soaked in an enzymatic cocktail, allowing for the glucose level to be quantified through a colorimetric assay. Importantly, the transparency and oxygen permeability of the contact lens, which are crucial for practical use, were maintained after functionalization, and the lenses showed high biocompatibility. Based on the analysis of colorimetric data generated by the smartphone application and ultraviolet-visible (UV-vis) spectra, we believe that this contact lens has a high potential to be used as a smart diagnostic tool for monitoring and managing blood glucose levels.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Electrochemical sensors and biosensors · Ocular Surface and Contact Lens

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry and Green-Nano Materials Research Center, Kyungpook National University, Daegu 41566, South Korea

Department of Chemistry, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea

Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University (SKKU), Suwon 16419, South Korea

Energy Technologies Area, Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720, United States

Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, South Korea

Department of Biomedical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, South Korea

KNU Institute of Basic Sciences and KNU G-LAMP Project Group, Kyungpook National University, Daegu 41566, South Korea

Biomedical Research Institute, Kyungpook National University Hospital, Daegu 41940, South Korea

Funding

Korea Health Industry Development Institute · National Research Foundation of Korea · Ministry of Knowledge Economy

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