This review demonstrates non-invasive glucose monitoring using salivary measurements, indicating new hope for diabetes management.
This review explores a pioneering technique for measuring glucose levels, addressing a critical need for millions, especially diabetics. Conventional methods, which rely on painful and potentially dangerous blood tests, have long been a daily challenge, particularly for children and individuals with specific blood conditions. In contrast, the technique we introduce offers a ground-breaking, pain-free solution by measuring glucose levels from saliva. By establishing a reliable correlation between salivary and blood glucose, this approach offers a game-changing way to monitor glucose levels with ease and accuracy, revolutionizing diabetes care. The device employs advanced enzyme-based biofluid sensors, providing precise and efficient glucose measurements without the need for invasive procedures. Beyond real-time glucose analysis, the system goes a step further by storing critical data and generating detailed monthly reports, accessible through a dedicated smartphone application. This feature empowers patients to monitor their health continuously, facilitating seamless communication with healthcare providers and enabling personalized care. Furthermore, we present a robust mathematical model and simulation, which demonstrates the relationship between blood and saliva glucose levels through nonlinear equations. The device’s performance is validated by comparing simulation results developed using MATLAB and Simulink with analytical solutions, offering deeper insights into its functionality and This represents a revolution in oral diagnosis of diabetes. This innovative approach can reshape diabetes mellitus management by providing a non-invasive, accurate,andpatient-friendly alternative to traditional blood glucose testing. The advancements discussed in this paper signal a promising future in glucose monitoring improving the lives of diabetics and offering new hope in the ongoing battle against diabetes.
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Elwefati et al. (2025) studied this question.
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