Abstract

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.

Highlights

  • Diabetes mellitus (DM) is a metabolic disease characterized by raised blood glucose levels, which in the long-term cause complications, leading to microvascular disease, increasing the risk of stroke or ischemic heart disease or peripheral vascular disease, retinopathy, nephropathy and/or neuropathy

  • Dynamic monitoring of glucose levels allows for tighter control of the hormonal oscillations, improves the therapeutic management of DM and slows the progression of any complications (Figure 6)

  • Various sources of evidence indicate that non-invasive glucose sensors show significant promise on this matter

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Summary

Introduction

Diabetes mellitus (DM) is a metabolic disease characterized by raised blood glucose levels, which in the long-term cause complications, leading to microvascular disease, increasing the risk of stroke or ischemic heart disease or peripheral vascular disease (due to development of atherosclerotic plaques), retinopathy (potentially leading to blindness), nephropathy (leading to chronic renal failure) and/or neuropathy. Glucose must remain within a relatively narrow range of values; lower levels (hypoglycemia) might acutely endanger neuronal cell viability, a life-threatening condition, while high levels of glucose might cause potentially serious health problems. These include diabetic ketoacidosis or hyperosmolar hyperglycemic state in the short term, and permanent vascular and neurotoxic damage in the long run. Besides plasma, have been utilized and have enormous potential for non-invasive continuous glucose monitoring; among them, saliva, urine and lacrimal fluid (tears). We aim at comprehensively summarizing the up-to-date key enabling technologies that allow for a reliable CL-based detection of lacrimal fluid glucose levels.

Graphene
Amperometric Glucose Sensor
Photonic Sensor—A Variation of Amperometric Sensors
Optical Sensing Methods
Hardware Material Structure
Smart CL Sensor Types
Measurement Transmission and System Performance
RF Transmission
Optical Transmission
System Performance
System
Biofuel
Solarfor
Inductive Power
Calibration Issues
Commercial Aspects
Recent and Future Applications
Conclusions
Findings
A Non-Invasive
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