journal article·2020-04-22

Highly Transparent and Sensitive Graphene Sensors for Continuous and Non-invasive Intraocular Pressure Monitoring

Jiandong Xu, Tianrui Cui, Thomas Hirtz, Yancong Qiao, Xiaoshi Li, Fanhui Zhong, Xiaolin Han, Yi Yang, Sheng Zhang, Tian-Ling Ren

ACS Applied Materials & Interfaces· Volume 12· Issue 16
Publisher page

Abstract

Intraocular pressure (IOP) is the prime indicator for the diagnosis and treatment of glaucoma. IOP has circadian rhythm changes and is dependent on body gestures; therefore, a single measurement in the clinic can be misleading for diagnosis. Herein, few-layer graphene is utilized to develop non-invasive sensors with high transparency, sensitivity, linearity, and biocompatibility for 24 h continuous IOP monitoring. The graphene Wheatstone bridge consisting of two strain gauges and two compensating resistors is designed to improve the sensitivity and accuracy of IOP measurement. Testing results on a silicone eyeball indicate that the output voltage of the sensor is proportional to the IOP fluctuation. Under the various ranges and speeds of IOP fluctuation, the sensor exhibits excellent performance of dynamic cycles and step responses with an average sensitivity of 150 μV/mmHg. With the linear relationship, the average relative error between the calibrated IOP and the standard pressure is maintained at about 5%. More than 100 cycles and interval time measurements illustrate that the sensor possesses significant stability, durability, and reliability. Furthermore, a wireless system is designed for the sensor to realize IOP monitoring using a mobile phone. This sensor, with the average transparency of 85% and its ease of fabrication, as well as its portability for continuous IOP monitoring, brings new promise to the diagnosis and treatment of glaucoma.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Retinopathy of Prematurity Studies · Ocular Surface and Contact Lens

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

Affiliations

Institute of Microelectronics, Tsinghua University, Beijing 100084, P. R. China

Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, P. R. China

Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, P. R. China

Funding

Ministry of Science and Technology of the People's Republic of China · Natural Science Foundation of Beijing Municipality · National Natural Science Foundation of China · Science and Technology Program of Shenzhen City · Beijing Innovation Center for Future Chip

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