Accurate Determination of the Q Quality Factor in Magnetoelastic Resonant Platforms for Advanced Biological Detection

Autor: Dimitris Kouzoudis, A. Lasheras, Jose Manuel Barandiaran, V. Muto, Ana Catarina Lopes, Ariane Sagasti, Jon Gutiérrez
Přispěvatelé: European Commission
Rok vydání: 2018
Předmět:
Zdroj: Addi. Archivo Digital para la Docencia y la Investigación
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Sensors, Vol 18, Iss 3, p 887 (2018)
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 3; Pages: 887
Sensors
Popis: The main parameters of magnetoelastic resonators in the detection of chemical (i.e., salts, gases, etc.) or biological (i.e., bacteria, phages, etc.) agents are the sensitivity S (or external agent change magnitude per Hz change in the resonance frequency) and the quality factor Q of the resonance. We present an extensive study on the experimental determination of the Q factor in such magnetoelastic resonant platforms, using three different strategies: (a) analyzing the real and imaginary components of the susceptibility at resonance; (b) numerical fitting of the modulus of the susceptibility; (c) using an exact mathematical expression for the real part of the susceptibility. Q values obtained by the three methods are analyzed and discussed, aiming to establish the most adequate one to accurately determine the quality factor of the magnetoelastic resonance. Ana Catarina Lopes thanks MSCA-IF-2015 (Marie Sklodowska Curie Actions) of the European Union's Horizon 2020 Programme for the received funds under grant agreement no. [701852]. Ariane Sagasti wishes to thank BCMaterials Centre for financial support. Jon Gutierrez, Andoni Lasheras, and Jose Manuel Barandiaran would like to acknowledge the financial support from the Basque Government under the ACTIMAT project (Etortek 2018 program) and Research Groups IT711-13 project. Dimitris Kouzoudis is thankful for financial support under Erasmus + Mobility Agreement between the University of Patras and the University of the Basque Country (UPV/EHU). Technical and human support provided by SGIker (UPV/EHU, MICINN, GV/EJ, ESF) is gratefully acknowledged.
Databáze: OpenAIRE