| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Ashraf, Muhammad
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2024Materials advancements in solid-state inorganic electrolytes for highly anticipated all solid Li-ion batteriescitations
- 2023Bandgap engineering of melon using highly reduced graphene oxide for enhanced photoelectrochemical hHydrogen evolution
- 2022GIS-based assessment of selective heavy metals and stable carbon isotopes in groundwater of Islamabad and Rawalpindi, Pakistancitations
- 2022Prediction of Bidirectional Shear Strength of Rectangular RC Columns Subjected to Multidirectional Earthquake Actions for Collapse Preventioncitations
- 2022Analysis of pure nanofluid (GO/engine oil) and hybrid nanofluid (GO–Fe<sub>3</sub>O<sub>4</sub>/engine oil): Novel thermal and magnetic featurescitations
- 2021A generalized method for high-speed fluorination of metal oxides by spark plasma sintering yields Ta3O7F and TaO2F with high photocatalytic activity for oxygen evolution from water
- 2019In vitro analysis of a microwave sensor for noninvasive glucose monitoringcitations
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article
In vitro analysis of a microwave sensor for noninvasive glucose monitoring
Abstract
<jats:title>Abstract</jats:title><jats:p>In this article, we present in vitro analysis for a microwave sensor proposed for noninvasive glucose monitoring. The sensor is a microstrip‐fed rectangular slot with a dielectric resonator having an elliptical shape resembling a human thumb. It has been demonstrated experimentally and by simulations that the microwave sensor is capable of detecting variations in glucose concentrations (40‐400 mg/dL) by observing shifts in the sensor's resonant frequencies. A Debye model is first developed to predict permittivity and loss tangent values of given glucose concentrations. Knowledge of such values is essential to facilitate simulation of glucose sensor. The simulations and measuremental results show similar behaviors with respect to resonances in the frequency band of interest, which makes the proposed microwave sensor a potential and convenient choice for noninvasive glucose monitoring.</jats:p>