Department of Electrical & Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Department of Informatics and Telecommunications, School of Informatics and Telecommunications, University of Ioannina, 471 00 Arta, Greece.
Biosensors (Basel). 2021 Jun 9;11(6):189. doi: 10.3390/bios11060189.
Diabetes mellitus (DM) is a chronic disease that must be carefully managed to prevent serious complications such as cardiovascular disease, retinopathy, nephropathy and neuropathy. Self-monitoring of blood glucose is a crucial tool for managing diabetes and, at present, all relevant procedures are invasive while they only provide periodic measurements. The pain and measurement intermittency associated with invasive techniques resulted in the exploration of painless, continuous, and non-invasive techniques of glucose measurement that would facilitate intensive management. The focus of this review paper is the existing solutions for continuous non-invasive glucose monitoring via contact lenses (CLs) and to carry out a detailed, qualitative, and comparative analysis to inform prospective researchers on viable pathways. Direct glucose monitoring via CLs is contingent on the detection of biomarkers present in the lacrimal fluid. In this review, emphasis is given on two types of sensors: a graphene-AgNW hybrid sensor and an amperometric sensor. Both sensors can detect the presence of glucose in the lacrimal fluid by using the enzyme, glucose oxidase. Additionally, this review covers fabrication procedures for CL biosensors. Ever since Google published the first glucose monitoring embedded system on a CL, CL biosensors have been considered state-of-the-art in the medical device research and development industry. The CL not only has to have a sensory system, it must also have an embedded integrated circuit (IC) for readout and wireless communication. Moreover, to retain mobility and ease of use of the CLs used for continuous glucose monitoring, the power supply to the solid-state IC on such CLs must be wireless. Currently, there are four methods of powering CLs: utilizing solar energy, via a biofuel cell, or by inductive or radiofrequency (RF) power. Although, there are many limitations associated with each method, the limitations common to all, are safety restrictions and CL size limitations. Bearing this in mind, RF power has received most of the attention in reported literature, whereas solar power has received the least attention in the literature. CLs seem a very promising target for cutting edge biotechnological applications of diagnostic, prognostic and therapeutic relevance.
糖尿病(DM)是一种慢性病,必须精心管理,以预防心血管疾病、视网膜病变、肾病和神经病变等严重并发症。自我监测血糖是管理糖尿病的重要工具,目前所有相关的程序都是侵入性的,而这些程序只提供定期测量。与侵入性技术相关的疼痛和测量间断性促使人们探索无痛、连续和非侵入性的血糖测量技术,以促进强化管理。本文综述的重点是通过隐形眼镜(CL)进行连续非侵入性血糖监测的现有解决方案,并进行详细、定性和比较分析,为未来的研究人员提供可行的途径。通过隐形眼镜直接监测血糖取决于泪液中生物标志物的检测。在本综述中,重点介绍了两种类型的传感器:石墨烯-AgNW 混合传感器和安培传感器。这两种传感器都可以通过使用酶葡萄糖氧化酶来检测泪液中葡萄糖的存在。此外,本综述还涵盖了 CL 生物传感器的制造程序。自从谷歌在隐形眼镜上发布了第一个葡萄糖监测嵌入式系统以来,隐形眼镜生物传感器一直被认为是医疗器械研发行业的最新技术。隐形眼镜不仅必须具有传感系统,还必须具有用于读取和无线通信的嵌入式集成电路(IC)。此外,为了保持用于连续血糖监测的隐形眼镜的移动性和易用性,此类隐形眼镜上的固态 IC 的电源必须是无线的。目前,有四种为隐形眼镜供电的方法:利用太阳能、生物燃料电池、感应或射频(RF)功率。虽然每种方法都存在许多限制,但所有方法都存在共同的限制,即安全限制和隐形眼镜尺寸限制。考虑到这一点,RF 功率在已报道的文献中受到了最多的关注,而太阳能在文献中受到的关注最少。隐形眼镜似乎是一个非常有前途的目标,可以实现具有诊断、预后和治疗相关性的尖端生物技术应用。