Noninvasive Glucose Sensing In Vivo

Leung, Ho Man Colman; Forlenza, Gregory P.; Prioleau, Temiloluwa; Zhou, Xia

doi:10.3390/s23167057

Cited by 7 publications

(2 citation statements)

References 204 publications

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“…Optical sensors use a variety of light-based techniques, such as near-infrared spectroscopy, Raman spectroscopy, and photoacoustic spectroscopy, to analyze blood and tissue properties without penetrating the skin. These techniques provide a painless alternative to conventional methods [22], [23], and have the potential to revolutionize diabetes management by continuously monitoring blood glucose levels in real-time without the disadvantages of invasive methods [24].…”

Section: Introductionmentioning

confidence: 99%

Optical sensor to improve the accuracy of non-invasive blood sugar monitoring

Zilgarayeva,

Smailov,

Pavlov

et al. 2024

IJEECS

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Optical sensors offer a painless method of monitoring blood glucose levels using various light technologies to analyze blood characteristics without penetrating the skin. The literature review part reflects the progress in optical sensor technology evaluates its potential in blood glucose monitoring by overcoming the limitations of conventional methods and recognizes the challenges and future prospects in this rapidly developing area of research. The results of empirical studies are then presented. The methodology is presented as a non-invasive method of blood glucose monitoring based on near-infrared spectroscopy. To precisely evaluate blood glucose concentrations, spectroscopy techniques involving absorption and reflection are employed at wavelengths 450, 900, 1350, and 1800 nm. After absorption and reflection of glucose molecules, light is generated. An experimental study of different samples revealed a linear relationship between the final output voltage and sugar concentration. The results demonstrate a correlation between blood glucose level and signal intensity after transmission.

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Section: Introductionmentioning

confidence: 99%

Optical sensor to improve the accuracy of non-invasive blood sugar monitoring

Zilgarayeva,

Smailov,

Pavlov

et al. 2024

IJEECS

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“…43,44 Inter-and intra-individual variations in the human body introduce non-invasive glucose detection challenges. 45 Factors such as skin pigmentation, hydration levels, motion artifacts, and physiological conditions can affect the accuracy of measurements. 15 Non-invasive glucose detection techniques undergo rigorous clinical trials to evaluate their performance.…”

Section: Introductionmentioning

confidence: 99%

A new rectangular dielectric resonator sensor for glucose measurement: Design, modeling, and experimental validation

Marzouk,

Hameed,

Allam

et al. 2023

Circuit Theory & Apps

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SummaryThis study introduces a novel sensor for glucose measurement based on a rectangular dielectric resonator (RDR) excited by a rectangular slot fed by a 50‐Ω microstrip line. The RDR operates at 6 GHz and incorporates a cubic portion section for accommodating a finger or container containing the test sample. By utilizing the distinctive resonant frequencies associated with varying dielectric permittivity of different glucose concentrations, the proposed RDR functions as a reliable sensor. The sensor's performance is evaluated through a 3D electromagnetic model of the human thumb and the application of the Cole‐Cole method for modeling the blood layer. Experimental validation is conducted using three alternatives (water, glucose, and alcohol) and a range of glucose concentrations (70 to 2000 mg/dL) in simulation. During experimental verification, an invasive glucometer is employed as a reference for blood sugar levels. Results demonstrate that the proposed RDR sensor exhibits higher sensitivity (36.86 MHz/(mg/dL)) than other sensor counterparts. The experimental outcomes confirm the resonance frequency alignment between the manufactured sensor and the simulated projections. Considering its economic viability and applicability, this sensor represents a promising alternative biosensor for monitoring blood glucose levels.

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Miniaturized Optical Glucose Sensor Using 1600–1700 nm Near‐Infrared Light

Yang,

Dhanabalan,

Robel

et al. 2024

Advanced Sensor Research

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Blood glucose measurement is crucial for diabetes diagnosis and treatment, but invasive sampling methods have drawbacks. Non‐invasive near‐infrared (NIR) spectroscopy‐based optical glucose sensing has gained attention but faces challenges due to the strong absorbance of NIR light by water and the need for complex equipment. Here, four distinct glucose fingerprints at specific NIR wavelengths: 1605, 1706, 2145, and 2275 nm are identified. Utilizing a surface‐mounted LED with a spectral range of 1600–1700 nm and focusing on the most prominent peaks at 1605 and 1706 nm, a miniaturized and non‐invasive glucose sensor is developed. The device successfully detects in vitro assays of glucose solutions within the physiological range of 50–400 mg dL−1, attaining a limit of detection as low as 10 mg dL−1. The findings demonstrate the feasibility of NIR spectroscopy‐based glucose sensing and its potential applications in non‐invasive point‐of‐care diagnostics, with the potential for extension to other biomarkers in future.

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Noninvasive Glucose Sensing In Vivo

Cited by 7 publications

References 204 publications

Optical sensor to improve the accuracy of non-invasive blood sugar monitoring

Optical sensor to improve the accuracy of non-invasive blood sugar monitoring

A new rectangular dielectric resonator sensor for glucose measurement: Design, modeling, and experimental validation

Miniaturized Optical Glucose Sensor Using 1600–1700 nm Near‐Infrared Light

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