Integration of Cholesterol Oxidase‐Based Biosensors on a Smart Contact Lens for Wireless Cholesterol Monitoring from Tears

Cholesterol plays a critical role in physiological functions, but elevated levels increase the risk of cardiovascular disease. Regular cholesterol monitoring is essential for elderly or obese individuals. Current methods, such as blood tests, are invasive, inconvenient, and require a professional operator. In contrast, tears, as an accessible body fluid, offer a promising alternative for noninvasive monitoring due to their correlation with blood cholesterol levels. Herein, a noninvasive approach for monitoring cholesterol levels in tears using a biosensor integrated into a smart contact lens is reported. The biosensor employs cholesterol oxidases as the biocatalyst, coupled with an osmium‐based mediator, to detect cholesterol concentrations ranging from 0.1 mM to 1.2 mM in artificial tears. A key challenge is the extremely low cholesterol concentration in tears, which is addressed using a parity‐time (P‐T) symmetry‐based magnetic resonance coupling system. This system enables wireless signal reading and achieves high sensitivity due to its high‐quality (Q) factor, which can achieve a detection limit of 0.061 mM. This portable, high‐sensitivity smart contact lens demonstrates significant potential as a wearable device for continuous, noninvasive cholesterol monitoring. The findings contribute to advancing tear‐based diagnostic systems and highlight the scientific importance of utilizing tear biomarkers for health monitoring.

Authors

Institutions

Publication Details

Journal
Advanced Intelligent Systems
Published
2025-06-29
DOI
https://doi.org/10.1002/aisy.202500368
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of Cholesterol Oxidase‐Based Biosensors on a Smart Contact Lens for Wireless Cholesterol Monitoring from Tears

Yuta Nishina, Saman Azhari, Yang Cui, Takeo Miyake et al.
Advanced Intelligent Systems
Analytical Chemistry and Sensors
article

Integration of Cholesterol Oxidase‐Based Biosensors on a Smart Contact Lens for Wireless Cholesterol Monitoring from Tears

Yuta Nishina, Saman Azhari, Yang Cui, Takeo Miyake, Lin Zhuo
article en

Abstract

Cholesterol plays a critical role in physiological functions, but elevated levels increase the risk of cardiovascular disease. Regular cholesterol monitoring is essential for elderly or obese individuals. Current methods, such as blood tests, are invasive, inconvenient, and require a professional operator. In contrast, tears, as an accessible body fluid, offer a promising alternative for noninvasive monitoring due to their correlation with blood cholesterol levels. Herein, a noninvasive approach for monitoring cholesterol levels in tears using a biosensor integrated into a smart contact lens is reported. The biosensor employs cholesterol oxidases as the biocatalyst, coupled with an osmium‐based mediator, to detect cholesterol concentrations ranging from 0.1 mM to 1.2 mM in artificial tears. A key challenge is the extremely low cholesterol concentration in tears, which is addressed using a parity‐time (P‐T) symmetry‐based magnetic resonance coupling system. This system enables wireless signal reading and achieves high sensitivity due to its high‐quality (Q) factor, which can achieve a detection limit of 0.061 mM. This portable, high‐sensitivity smart contact lens demonstrates significant potential as a wearable device for continuous, noninvasive cholesterol monitoring. The findings contribute to advancing tear‐based diagnostic systems and highlight the scientific importance of utilizing tear biomarkers for health monitoring.

Advanced Intelligent SystemsVol. 7(12)
Waseda University (JP), Okayama University (JP), The University of Kitakyushu (JP)
Canon Foundation in Europe, Japan Agency for Medical Research and Development, Ministry of Education, Culture, Sports, Science and Technology, Kitakyushu Foundation for the Advancement of Industry, Science and Technology, Japan Society for the Promotion of Science
Openalex Percentile: Top 78%
Analytical Chemistry and Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.