Antonio Arnau et al 2009 Meas. Sci. Technol. 20 124004 doi:10.1088/0957-0233/20/12/124004
Antonio Arnau1, Yeison Montagut, José V García and Yolanda Jiménez
Show affiliationsIn this paper, the sensitivity of a quartz crystal microbalance (QCM) sensor is analysed and discussed in terms of the phase change versus the surface mass change, instead of the classical sensitivity in terms of the resonant frequency change derived from the well-known Sauerbrey equation. The detection sensitivity derived from the Sauerbrey equation is a theoretical detection capability in terms of the frequency change versus the mass change, which increases with the square of frequency. However, when a specific application and measuring system are considered, the detection capability of the QCM sensor must be considered from a different point of view. A new equation is obtained, Δ
−Δmc/(mq + mL), which quantifies the phase shift, Δ
, of a fixed frequency signal corresponding to the series resonant frequency of the sensor in a reference state versus a change in the coating mass, Δmc; mq = ηqπ/2vq, where ηq is the loss viscosity of the unperturbed sensor and vq is the wave propagation speed in quartz, is a parameter which only depends on the physical parameters of the unperturbed resonator and fixes the maximum sensitivity of the sensor and mL = ρLδL/2, where ρL and δL are, respectively, the liquid density and the wave penetration depth of the wave in the liquid, is the equivalent surface mass density associated with the oscillatory movement of the surface of the sensor in contact with a fluid medium. This equation is an approximate equation around the series resonance frequency of the sensor. The simulation results for 10, 50 and 150 MHz resonance frequency QCM sensors probe its validity. A new electronic system is proposed for QCM biosensor applications based on the equation introduced.
07.10.Lw Balance systems, tensile machines, etc.
07.10.Cm Micromechanical devices and systems
07.07.Df Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing
Issue 12 (December 2009)
Received 29 April 2009, in final form 14 June 2009
Published 26 October 2009
Antonio Arnau et al 2009 Meas. Sci. Technol. 20 124004
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