Keum Do Hee, Kim Su-Kyoung, Koo Jahyun, Lee Geon-Hui, Jeon Cheonhoo, Mok Jee Won, Mun Beom Ho, Lee Keon Jae, Kamrani Ehsan, Joo Choun-Ki, Shin Sangbaie, Sim Jae-Yoon, Myung David, Yun Seok Hyun, Bao Zhenan, Hahn Sei Kwang
Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 37673, Korea.
Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 37673, Korea.
Sci Adv. 2020 Apr 24;6(17):eaba3252. doi: 10.1126/sciadv.aba3252. eCollection 2020 Apr.
A smart contact lens can be used as an excellent interface between the human body and an electronic device for wearable healthcare applications. Despite wide investigations of smart contact lenses for diagnostic applications, there has been no report on electrically controlled drug delivery in combination with real-time biometric analysis. Here, we developed smart contact lenses for both continuous glucose monitoring and treatment of diabetic retinopathy. The smart contact lens device, built on a biocompatible polymer, contains ultrathin, flexible electrical circuits and a microcontroller chip for real-time electrochemical biosensing, on-demand controlled drug delivery, wireless power management, and data communication. In diabetic rabbit models, we could measure tear glucose levels to be validated by the conventional invasive blood glucose tests and trigger drugs to be released from reservoirs for treating diabetic retinopathy. Together, we successfully demonstrated the feasibility of smart contact lenses for noninvasive and continuous diabetic diagnosis and diabetic retinopathy therapy.
智能隐形眼镜可作为人体与电子设备之间的优良接口,用于可穿戴医疗保健应用。尽管对用于诊断应用的智能隐形眼镜进行了广泛研究,但尚无关于结合实时生物特征分析进行电控药物递送的报道。在此,我们开发了用于连续血糖监测和糖尿病视网膜病变治疗的智能隐形眼镜。该智能隐形眼镜装置基于生物相容性聚合物构建,包含超薄、柔性电路以及用于实时电化学生物传感、按需控制药物递送、无线电源管理和数据通信的微控制器芯片。在糖尿病兔模型中,我们能够测量泪液葡萄糖水平,并通过传统的侵入性血糖测试进行验证,还能触发药物从储库中释放以治疗糖尿病视网膜病变。我们共同成功证明了智能隐形眼镜用于无创和连续糖尿病诊断及糖尿病视网膜病变治疗的可行性。