The Future of Diabetes Technologies and Therapeutics

Jones, Mike; Harrison, Julia M.

doi:10.1089/152091502760098500

Cited by 9 publications

(4 citation statements)

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“…(1) and (4). The amplitude and phase responses to a 300 mg/dl glucose concentration with the four configurations are presented in Figure 15(a) shows that configurations (1) and (4) yield the largest responses, while configuration (2) yields the smallest response. Figure 15(b) shows that (1) and (4) have higher and wider sensitivity ranges while (2) has a lower peak and a much narrower sensitivity range.…”

Section: Detection Configuration Comparisonsmentioning

confidence: 99%

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Wavelength-modulated differential photothermal radiometry: Theory and experimental applications to glucose detection in water

Mandelis

Guo

2011

Phys. Rev. E

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A differential photothermal radiometry method, wavelength-modulated differential photothermal radiometry (WM-DPTR), has been developed theoretically and experimentally for noninvasive, noncontact biological analyte detection, such as blood glucose monitoring. WM-DPTR features analyte specificity and sensitivity by combining laser excitation by two out-of-phase modulated beams at wavelengths near the peak and the base line of a prominent and isolated mid-IR analyte absorption band (here the carbon-oxygen-carbon bond in the pyran ring of the glucose molecule). A theoretical photothermal model of WM-DPTR signal generation and detection has been developed. Simulation results on water-glucose phantoms with the human blood range (0-300 mg/dl) glucose concentration demonstrated high sensitivity and resolution to meet wide clinical detection requirements. The model has also been validated by experimental data of the glucose-water system obtained using WM-DPTR.

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Section: Detection Configuration Comparisonsmentioning

confidence: 99%

“…Diabetes has become one of the leading causes of death and disability in the world [1]. Patients can be at risk of heart and kidney failure, blindness, and amputations [2].…”

Section: Introductionmentioning

confidence: 99%

Wavelength-modulated differential photothermal radiometry: Theory and experimental applications to glucose detection in water

Mandelis

Guo

2011

Phys. Rev. E

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“…The number of people with diabetes is growing every year. Back in 2002, Jones M. and Harrison J. M. described in their article [1] that the World Health Organization (WHO) expects an increase in the number of people with diabetes to 300 million by 2025. According to a survey conducted by the International Diabetes Federation (IDF) already in 2013, three-hundred eighty-two million patients worldwide had diabetes.…”

Section: Introductionmentioning

confidence: 99%

Non-Invasive Determination of Glucose Concentration Using a Near-Field Sensor

2021

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The article presents a model of a near-field sensor for non-invasive glucose monitoring. The sensor has a specific design and forms a rather extended near-field. Due to this, the high penetration of electromagnetic waves into highly absorbing media (biologic media) is achieved. It represents a combined slot antenna based on a flexible RO3003 substrate. Moreover, it is small and rather flat (25 mm in diameter, 0.76 mm thick). These circumstances are the distinguishing features of this sensor in comparison with microwave sensors of other designs. The article presents the results of numerical modeling and experimental verification of a near-field sensor. Furthermore, a phantom of human biological media (human hand) was created for experimentation. In the case of numerical modeling, the sensor is located close to the hand model. In a full-scale experiment, it is located close to the phantom of the human hand for the maximum interaction of the near-field with biological materials. As a result of a series of measurements for this sensor, the reflection coefficient is measured, and the dependences of the reflected signal on the frequency are plotted. According to the results of the experiments carried out, there is a clear difference in glucose concentrations. At the same time, the accuracy of determining the difference in glucose concentrations is high. The values of the amplitude of the reflected signal with a change in concentration differ by 0.5–0.8 dB. This sensor can be used for developing a non-invasive blood glucose measurement procedure.

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“…Back in 2002, Jones and Harrison described in their article [1] that the World Health Organization (WHO) expects an increase in the number of people with diabetes to 300 million by 2025. According to a survey conducted by the International Diabetes Federation (IDF) already in 2013, 382 million patients worldwide have diabetes.…”

Section: Introductionmentioning

confidence: 99%

Non-Invasive Determination of Blood Glucose Concentration Using a Near-Field Sensor

Zavyalova

Gorst

Mironchev

2020

The 1st International Electronic Conference on Biosensors

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This article demonstrates a model of a near-field sensor, which is a combined slot antenna based on a flexible substrate RO3003. It is shown that the sensor has a high penetration of electromagnetic waves into highly absorbing media due to the length of the near field. In addition, it has a small size (diameter the sensor is 25 mm, thickness 0.76 mm). The simplified model of a hand simplified with a shallow vein depth was constructed. This model based on the experimentally obtained data of dielectric constant for glucose concentrations of 1.2–10 mmol/l. The simulation results, carried out in the frequency range 0.5–5 GHz, showed the possibility of determining a small change in blood sugar level from the reflected signal data.

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The Future of Diabetes Technologies and Therapeutics

Cited by 9 publications

References 0 publications

Wavelength-modulated differential photothermal radiometry: Theory and experimental applications to glucose detection in water

Wavelength-modulated differential photothermal radiometry: Theory and experimental applications to glucose detection in water

Non-Invasive Determination of Glucose Concentration Using a Near-Field Sensor

Non-Invasive Determination of Blood Glucose Concentration Using a Near-Field Sensor

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