scholarly journals Surface Acoustic Wave Sensor for C-Reactive Protein Detection

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6640 ◽  
Author(s):  
Ming-Jer Jeng ◽  
Mukta Sharma ◽  
Ying-Chang Li ◽  
Yi-Chen Lu ◽  
Chia-Yu Yu ◽  
...  
Keyword(s):  
Acoustic Wave ◽  
Surface Acoustic Wave ◽  
Insertion Loss ◽  
Protein Detection ◽  
Sensor Response ◽  
C Reactive Protein ◽  
Response Characteristics ◽  
Saw Sensor ◽  
Reactive Protein ◽  
Acoustic Wave Sensor

A surface acoustic wave (SAW) sensor was investigated for its application in C-reactive protein (CRP) detection. Piezoelectric lithium niobate (LiNbO3) substrates were used to study their frequency response characteristics in a SAW sensor with a CRP sensing area. After the fabrication of the SAW sensor, the immobilization process was performed for CRP/anti-CRP interaction. The CRP/anti-CRP interaction can be detected as mass variations in the sensing area. These mass variations may produce changes in the amplitude of sensor response. It was clearly observed that a CRP concentration of 0.1 μg/mL can be detected in the proposed SAW sensor. A good fitting linear relationship between the detected insertion loss (amplitude) and the concentrations of CRP from 0.1 μg/mL to 1 mg/mL was obtained. The detected shifts in the amplitude of insertion loss in SAW sensors for different CRP concentrations may be useful in the diagnosis of risk of cardiovascular diseases.

A 3-D Finite Element Model of Surface Acoustic Wave Sensor Response

2019 ◽  
Vol 1 (19) ◽  
pp. 19-27 ◽  
Author(s):  
Subramanian Sankaranarayanan ◽  
Venkat R. Bhethanabotla ◽  
Babu Joseph
Keyword(s):  
Finite Element ◽  
Acoustic Wave ◽  
Finite Element Model ◽  
Surface Acoustic Wave ◽  
Element Model ◽  
Sensor Response ◽  
Acoustic Wave Sensor

Surface acoustic wave sensor response and molecular modeling: selective binding of nitrobenzene derivatives to (aminopropyl)triethoxysilane

1990 ◽  
Vol 62 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Wolfgang M. Heckl ◽  
Francesca M. Marassi ◽  
Krishna M. R. Kallury ◽  
David C. Stone ◽  
Michael. Thompson
Keyword(s):  
Molecular Modeling ◽  
Acoustic Wave ◽  
Surface Acoustic Wave ◽  
Sensor Response ◽  
Selective Binding ◽  
Acoustic Wave Sensor

Analysis of Ball Surface Acoustic Wave Sensor Response to Wide Variety of Gases Using Gas Chromatography

2007 ◽  
Vol 46 (7B) ◽  
pp. 4532-4536 ◽  
Author(s):  
Naoya Iwata ◽  
Takuji Abe ◽  
Toshihiro Tsuji ◽  
Tsuyoshi Mihara ◽  
Shingo Akao ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Acoustic Wave ◽  
Surface Acoustic Wave ◽  
Sensor Response ◽  
Acoustic Wave Sensor ◽  
Ball Surface

scholarly journals Sensitivity Analysis of the Surface Acoustic Wave Sensor towards Size-Distributed Particulate Matter

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jian Yang ◽  
Jianan Lu ◽  
Shanmeng Zhang ◽  
Dong Guan
Keyword(s):  
Particulate Matter ◽  
Acoustic Wave ◽  
Frequency Shift ◽  
Size Distribution ◽  
Surface Acoustic Wave ◽  
Saw Sensor ◽  
Lognormal Size Distribution ◽  
Acoustic Wave Sensor ◽  
Distribution Parameters ◽  
Relationship Of

To study the sensitivity of the surface acoustic wave (SAW) sensor towards particulate matter (PM), an analytic model has been built based on single particle perturbation theory of full size range and the lognormal size distribution of the PM. The sensitivity of the frequency shift to 1 nanogram of PM has been calculated. The model shows that the frequency shift is a result of the competition between the negative perturbation by mass loading and the positive perturbation by elastic coupling, determined by particle size distribution parameters, material, and SAW frequency. To verify the model, the relationship of the frequency shift of a 315 MHz SAW to the concentration of aerosols generated by two kinds of powders of different sizes was measured. The experiment is in agreement with the model: the sensor has shown negative sensitivity towards aerosols generated by the finer particles of 1 μm, 3 μm polytetrafluoroethylene (PTFE), and A1 Arizona dust and positive sensitivity towards aerosols generated by the coarser particles of 10 μm PTFE and A4 Arizona dust; and the negative sensitivity is about 1 order higher than the positive.

A novel method of studying the micro-contact using surface acoustic wave sensor

Sensor Review ◽  
2016 ◽  
Vol 36 (4) ◽  
pp. 421-428 ◽  
Author(s):  
Jian Yang ◽  
Hejuan Chen
Keyword(s):  
Mechanical Properties ◽  
Acoustic Wave ◽  
Surface Acoustic Wave ◽  
Coupled System ◽  
Content Type ◽  
Saw Sensor ◽  
Micro Particles ◽  
Acoustic Wave Sensor ◽  
Coupling Stiffness ◽  
Novel Method

Purpose This paper aims to investigate the response behavior of the surface acoustic wave (SAW) sensor under the loading of micro-particles and to evaluate the feasibility of using the SAW sensor to study the micro-contact of the particle–plane interface. Design/methodology/approach An analytical perturbation theory of the coupled system of particle and SAW is presented. It shows that in the weak-coupling regime, the SAW sensor detects the coupling stiffness rather than the additional mass of the particle at the interface. The frequency perturbation formula expressed in parameters of the geometry and mechanical properties of the contact is further derived. The frequency shift of a 262-MHz Rayleigh-type SAW in the oscillation configuration under the loading of multiple starch particles of different sizes has been measured. Findings The experiment results of a linear relationship between the frequency increase and the sum of the radius of particles to the power of 2/3 verified the validity of the theory of linking the SAW response to the geometry and mechanical properties of the contact. Originality/value The SAW sensor could serve as a new candidate for studying the details of mechanical properties of the micro-contact of the interface.

Modeling of Surface Acoustic Wave Sensor Response

2010 ◽  
pp. 97-134
Author(s):  
Subramanian Sankaranarayanan ◽  
Venkat Bhethanabotla ◽  
Babu Joseph
Keyword(s):  
Acoustic Wave ◽  
Surface Acoustic Wave ◽  
Sensor Response ◽  
Acoustic Wave Sensor

scholarly journals Detection of Particulate Matter of Size 2.5 μm with a Surface-Acoustic-Wave Sensor Combined with a Cyclone Separator

Micromachines ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 398 ◽  
Author(s):  
Fung-Yu Kuo ◽  
Ying-Chen Lin ◽  
Ling-Yi Ke ◽  
Chuen-Jinn Tsai ◽  
Da-Jeng Yao
Keyword(s):  
Particulate Matter ◽  
Acoustic Wave ◽  
Surface Acoustic Wave ◽  
Limit Of Detection ◽  
Cyclone Separator ◽  
Saw Sensor ◽  
Well Design ◽  
Microcentrifuge Tube ◽  
Acoustic Wave Sensor ◽  
Positive Linear Correlation

A device to monitor particulate matter of size 2.5 μm (PM2.5) that has been designed and developed includes a surface-acoustic-wave sensor operating in a shear horizontal mode (SH-SAW) combined with a cyclone separator. In our tests, aerosols generated as incense smoke were first separated and sampled inside a designed cyclone separator; the sampled PM2.5 was then introduced into the sensing area of an SH-SAW sensor for detection. The use of microcentrifuge tubes as a cyclone separator effectively decreases the size and power consumption of the device; the SAW sensor in a well design and operating at 122 MHz was fabricated with MEMS techniques. After an explanation of the design of the cyclone separator, a simulation of the efficiency and the SAW sensor detection are discussed. A microcentrifuge tube (volume 0.2 mL, inlet and outlet diameters 0.5 mm) as a separator has separation cutoff diameters 50% (d50) at 2.5 μm; the required rate of volumetric flow at the inlet is 0.125 LPM, according to simulation with computational fluid dynamics (CFD) software; the surface-acoustic-wave (SAW) sensor exhibits sensitivity approximately 9 Hz/ng; an experiment for PM2.5 detection conducted with the combined device shows a strong positive linear correlation with a commercial aerosol monitor. The limit of detection (LOD) is 11 μg/m3 with sample time 160 s and total detection duration about 5 min.

Modeling of Surface Acoustic Wave Sensor Response

2010 ◽  
pp. 97-134
Author(s):  
Subramanian Sankaranarayanan ◽  
Venkat Bhethanabotla ◽  
Babu Joseph
Keyword(s):  
Acoustic Wave ◽  
Surface Acoustic Wave ◽  
Sensor Response ◽  
Acoustic Wave Sensor
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