A real time detection of the ovarian tumor associated antigen 1 (OVTA 1) in human serum by quartz crystal microbalance immobilized with anti-OVTA 1 polyclonal chicken IgY antibodies

2012 ◽  
Vol 32 (7) ◽  
pp. 2073-2078 ◽  
Author(s):  
S. Sadhasivam ◽  
Jung-Chih Chen ◽  
S. Savitha ◽  
Feng-Huei Lin ◽  
Yi-Yuan Yang ◽  
...  
Keyword(s):  
Human Serum ◽  
Real Time ◽  
Quartz Crystal Microbalance ◽  
Ovarian Tumor ◽  
Quartz Crystal ◽  
Tumor Associated Antigen ◽  
Real Time Detection

Highly sensitive, direct and real-time detection of silver nanowires by using a quartz crystal microbalance

2016 ◽  
Vol 27 (47) ◽  
pp. 475506 ◽  
Author(s):  
Kuewhan Jang ◽  
Chanho Park ◽  
Juneseok You ◽  
Jaeyeong Choi ◽  
Hyunjun Park ◽  
...  
Keyword(s):  
Real Time ◽  
Quartz Crystal Microbalance ◽  
Quartz Crystal ◽  
Silver Nanowires ◽  
Highly Sensitive ◽  
Real Time Detection

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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