magnetoelastic resonance
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2022 ◽  
Vol 92 (1) ◽  
pp. 62
Author(s):  
В.С. Власов ◽  
В.Г. Шавров ◽  
В.И. Щеглов

The nonlinear splitting of magnetoelastic resonance line in powerfully excited ferrite is investigated. It is shown that the amplitude of splited resonance has the same order of value that the amplitude of basis resonance and its frequency is determined by the upper boundary of nonlinear amplitude-frequency characteristic of magnetic system. It is found the threshold character of splitting additional resonance from general. It is determined the possibility of operation of splited elastic resonance frequency by changing of exited magnetic field value which has practical importance.


Author(s):  
T.J. Walters ◽  
A.M. Mannino ◽  
C. Martin ◽  
P.M. Anderson ◽  
R.M. Martin

Author(s):  
Alvaro Pena ◽  
Daniel Matatagui ◽  
Carlos Cruz ◽  
Patricia de la Presa ◽  
Pilar Marin ◽  
...  

2021 ◽  
Vol 139 (2) ◽  
pp. 159-163
Author(s):  
S. Atalay ◽  
O.O. Inan ◽  
V.S. Kolat ◽  
T. Izgi

Materials ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 4708
Author(s):  
Beatriz Sisniega ◽  
Jon Gutiérrez ◽  
Virginia Muto ◽  
Alfredo García-Arribas

The resonance quality factor Q is a key parameter that describes the performance of magnetoelastic sensors. Its value can be easily quantified from the width and the peak position of the resonance curve but, when the resonance signals are small, for instance when a lot of damping is present (low quality factor), this and other simple methods to determine this parameter are highly inaccurate. In these cases, numerical fittings of the resonance curves allow to accurately obtain the value of the quality factor. We present a study of the use of different expressions to numerically fit the resonance curves of a magnetoelastic sensor that is designed to monitor the precipitation reaction of calcium oxalate. The study compares the performance of both fittings and the equivalence of the parameters obtained in each of them. Through these numerical fittings, the evolution of the different parameters that define the resonance curve of these sensors is studied, and their accuracy in determining the quality factor is compared.


Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2802 ◽  
Author(s):  
Beatriz Sisniega ◽  
Ariane Sagasti Sedano ◽  
Jon Gutiérrez ◽  
Alfredo García-Arribas

The magnetoelastic resonance is used to monitor the precipitation reaction of calcium oxalate ( C a C 2 O 4 ) crystals in real-time, by measuring the shift of the resonance frequency caused by the mass increase on the resonator. With respect to previous work on the same matter, the novelty lies in the adoption of an amorphous ferromagnetic alloy, of composition F e 73 C r 5 S i 10 B 12 , as resonator, that replaces the commercial Metglas® 2826 alloy (composition F e 40 N i 38 M o 4 B 18 ). The enhanced corrosion resistance of this material allows it to be used in biological environments without any pre-treatment of its surface. Additionally, the measurement method, which has been specifically adapted to this application, allows quick registration of the whole resonance curve as a function of the excitation frequency, and thus enhances the resolution and decreases the detection noise. The frequency shift is calibrated by the static deposition of well-known masses of C a C 2 O 4 . The resonator dimensions have been selected to improve sensitivity. A 20 mm long, 2 mm wide and 25 μ m thick magnetoelastic resonator has been used to monitor the precipitation reaction of calcium oxalate in a 500 s time interval. The results of the detected precipitated mass when oxalic acid and calcium chloride are mixed in different concentrations (30 mM, 50 mM and 100 mM) are presented as a function of time. The results show that the sensor is capable of monitoring the precipitation reaction. The mass sensitivity obtained, and the corrosion resistance of the material, suggest that this material can perform excellently in monitoring this type of reaction.


2019 ◽  
Vol 55 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Inaki Bravo ◽  
Aitor Arnaiz ◽  
Alfredo Garcia-Arribas

Coatings ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 284 ◽  
Author(s):  
Georgios Samourgkanidis ◽  
Pavlos Nikolaou ◽  
Andreas Gkovosdis-Louvaris ◽  
Elias Sakellis ◽  
Ioanna Maria Blana ◽  
...  

In this work, we present a simple and efficient method for the preparation of hemin-modified SnO2 films on Metglas ribbon substrates for the development of a sensitive magneto-electrochemical sensor for the determination of H2O2. The SnO2 films were prepared at low temperatures, using a simple hydrothermal method, compatible with the Metglas surface. The SnO2 film layer was fully characterized by X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), photoluminescence (PL) and Fourier Transform-Infrared spectroscopy (FT-IR). The properties of the films enable a high hemin loading to be achieved in a stable and functional way. The Hemin/SnO2-Metglas system was simultaneously used as a working electrode (WE) for cyclic voltammetry (CV) measurements and as a magnetoelastic sensor excited by external coils, which drive it to resonance and interrogate it. The CV scans reveal direct reduction and oxidation of the immobilized hemin, as well as good electrocatalytic response for the reduction of H2O2. In addition, the magnetoelastic resonance (MR) technique allows the detection of any mass change during the electroreduction of H2O2 by the immobilized hemin on the Metglas surface. The experimental results revealed a mass increase on the sensor during the redox reaction, which was calculated to be 767 ng/μM. This behavior was not detected during the control experiment, where only the NaH2PO4 solution was present. The following results also showed a sensitive electrochemical sensor response linearly proportional to the concentration of H2O2 in the range 1 × 10−6–72 × 10−6 M, with a correlation coefficient of 0.987 and detection limit of 1.6 × 10−7 M. Moreover, the Hemin/SnO2-Metglas displayed a rapid response (30 s) to H2O2 and exhibits good stability, reproducibility and selectivity.


2018 ◽  
Vol 97 (18) ◽  
Author(s):  
A. A. Tereshchenko ◽  
A. S. Ovchinnikov ◽  
Igor Proskurin ◽  
E. V. Sinitsyn ◽  
Jun-ichiro Kishine

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