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    A Microwave Ring Resonator Based Glucose Sensor
    (Elsevier Science Bv, 2016) Camli, Berk; Kusakci, Emre; Lafci, Berkan; Salman, Seyhan; Torun, Hamdi; Yalcinkaya, Arda
    A microwave ring resonator based glucose detecting biosensor incorporating glucose oxidase enzyme is presented. Sensor uses a split ring resonator as a transducer, where the sensing operation is done by the observation of shifts in its resonant frequency. Resonator was fabricated with basic fabrication techniques and the enzyme was immobilized via conductive polymer agent PEDOT: PSS. Experimentally observed redshift of resonant frequency of the sensor in response to different loading conditions are in agreement with simulation results and theoretical expectations. Sensor selectivity is confirmed with control experiments conducted with NaCl solutions. Experiments done with different glucose solution concentrations yielded a sensor sensitivity of 0.174MHz/mgml(-1). (C) 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.
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    Using a low-amplitude RF pulse at echo time (LARFET) for device localization in MRI
    (Springer Heidelberg, 2014) Tumer, Murat; Sarioglu, Baykal; Mutlu, Senol; Ulgen, Yekta; Yalcinkaya, Arda; Ozturk, Cengizhan
    We describe a new method for frequency down-conversion of MR signals acquired with the radio-frequency projections method for device localization. A low-amplitude, off-center RF pulse applied simultaneously with the echo signal is utilized as the reference for frequency down-conversion. Because of the low-amplitude and large offset from the Larmor frequency, the RF pulse minimally interfered with magnetic resonance of protons. We conducted an experiment with the coil placed at different positions to verify this concept. The down-converted signal was transformed into optical signal and transmitted via fiber-optic cable to a receiver unit placed outside the scanner room. The position of the coil could then be determined by the frequency analysis of this down-converted signal and superimposed on previously acquired MR images for comparison. Because of minimal positional errors (a parts per thousand currency sign0.8 mm), this new device localization method may be adequate for most interventional MRI applications.