Resonant Frequency Measurement of Quartz Crystal Based on DDS and Real-Time Peak Searching

2016 ◽  
Author(s):  
Lei Zhao ◽  
Xiaofeng Meng ◽  
Furui Liu
Keyword(s):  
Resonant Frequency ◽  
Real Time ◽  
Quartz Crystal ◽  
Frequency Measurement

scholarly journals A Study The Effect Of Coating Polystyrene, Znpc, And Annealing Process On The Resonant Frequency Of Quartz Crystal Microbalance

2021 ◽  
Vol 5 (1) ◽  
pp. 68-76
Author(s):  
Fifin Tresna Juwita ◽  
Fadli Robiandi ◽  
Masruroh Masruroh ◽  
Setyawan P. Sakti ◽  
D.J. D.H Djoko
Keyword(s):  
Resonant Frequency ◽  
Quartz Crystal ◽  
Deposition Time ◽  
Frequency Measurement ◽  
Annealing Process ◽  
Coating Process ◽  
Functional Material ◽  
Improve Performance ◽  
Damping Effect ◽  
Before And After

The performance, sensitivity, and corrosion protection on the QCM sensor requirement be improved to maximize the value. Therefore, the functional material coating was carried out. The addition of the polystyrene and ZnPc deposited using the vacuum evaporation method. This study intends to the morphology structure and effect of the coating, to improve performance through the annealing process based on the impedance value at QCM. The frequency measurement before and after the coating process was carried out with a variation of the deposition time, which is 1 minute 30 seconds, 1 minute 45 second, 2 minutes, 2 minute 20 seconds, and 4 minutes. The coating and annealing resulted from the surface structure of the QCM sensor are smooth, small porous, and homogeneous. In addition, the impedance to frequency graph indicates a low damping effect means the QCM sensor does not respond viscoelasticity.

scholarly journals A Real-Time Method for Improving Stability of Monolithic Quartz Crystal Microbalance Operating under Harsh Environmental Conditions

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4166
Author(s):  
Román Fernández ◽  
María Calero ◽  
Yolanda Jiménez ◽  
Antonio Arnau
Keyword(s):  
Real Time ◽  
Quartz Crystal Microbalance ◽  
Quartz Crystal ◽  
Limit Of Detection ◽  
Quartz Substrate ◽  
Low Cost ◽  
Discrete Wavelet ◽  
Reagent Consumption ◽  
Measurement Cell ◽  
The Stability

Monolithic quartz crystal microbalance (MQCM) has recently emerged as a very promising technology suitable for biosensing applications. These devices consist of an array of miniaturized QCM sensors integrated within the same quartz substrate capable of detecting multiple target analytes simultaneously. Their relevant benefits include high throughput, low cost per sensor unit, low sample/reagent consumption and fast sensing response. Despite the great potential of MQCM, unwanted environmental factors (e.g., temperature, humidity, vibrations, or pressure) and perturbations intrinsic to the sensor setup (e.g., mechanical stress exerted by the measurement cell or electronic noise of the characterization system) can affect sensor stability, masking the signal of interest and degrading the limit of detection (LoD). Here, we present a method based on the discrete wavelet transform (DWT) to improve the stability of the resonance frequency and dissipation signals in real time. The method takes advantage of the similarity among the noise patterns of the resonators integrated in an MQCM device to mitigate disturbing factors that impact on sensor response. Performance of the method is validated by studying the adsorption of proteins (neutravidin and biotinylated albumin) under external controlled factors (temperature and pressure/flow rate) that simulate unwanted disturbances.

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