Love-SAW sensors

Love-SAW sensors Technology Note

February 15th 2021: AWSensors is pleased to invite you to take a look to the its new Technology Note on Love-SAW sensors “AWSensors Love-SAW sensors“.

Summary of the Note

Advanced Wave Sensors (AWSensors) develops and markets various types of sensors: classical QCM, High Fundamental Frequency QCM, and Love-Surface Acoustic Wave (Love-SAW). Love-SAW sensors do not measure love, but they do measure other interesting properties of interfacial layers. This Note is dedicated to explaining the basics of the operation of these less known acoustic sensors.

 

Love-SAW sensor

Introduction to Love-SAW sensors

Love waves are shear horizontally (SH) polarized surface acoustic waves. They are named after Augustus Edward Hough Love, who predicted them mathematically in 1911, and appear in fields as distinct as seismology and sensing [1].

Figure 1. a) Piezoelectric material, such as quartz, cut at a certain angle relative to the crystallographic axis, is used as a substrate in the construction of the Love-SAW sensors which basic structure is shown in b) (Taken from [2]).

Love-SAW sensors use a piezoelectric substrate (like quartz), in which the surface acoustic waves are excited by applying electrical current in a specific direction relative the crystallographic orientation of the piezoelectric material (see Figure 1a). The waves are then confined into the guiding layer overlaying the piezoelectric substrate. The structure of such a sensor is shown in Figure 1b where the current is applied through the so-called interdigitated transducers (IDTs), located between the substrate and the guiding layer. A standing Love wave is generated in the space between the IDTs (D in Figure 2), defining the sensing area. The condition for the existence of these waves is that the shear velocity in the guiding layer is less than that in the substrate. It is this difference in the mechanical properties between the guiding layer and the substrate that slows down the wave propagation velocity and traps the acoustic energy in the guiding layer keeping the wave energy near the surface. The sensitivity of this device is determined by the degree of wave confinement in the guiding layer. Thus, the higher the confinement of the wave in the guiding layer, the higher the sensitivity of the device is.

Love-SAW sensors typically operate at frequencies of hundreds of MHz. The operating frequency of a Love-SAW sensor is defined by the materials of its structure, the periodicity of the IDTs, λ in Figure 2, and the guiding layer thickness, d [2].

Key advantages of Love-SAW devices include efficient operation in liquids, mechanical stability (robustness), and high sensitivity (due to the high operating frequency by only changing the IDTs periodicity). Key limitations include a need for calibration due to the lack of simple, predictive model describing SAW wave propagation akin to the Sauerbrey relationship in QCMD or Lorentz-Lorenz and de Feijter’s relationships in ellipsometry. [3–5]

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You can download the full Love-SAW Technology Note in pdf format from this link. A list of our Technology Notes can be found on our Technology Web Page.

Other references about Love-SAW sensors

 

EXPORNET-IVACE

January 31st 2021:

AWSensors was granted with the EXPORNET aid, managed by IVACE, Generalitat Valenciana, Spain, for the improvement of its Digital Marketing.

Advanced Waves Sensors S.L. (AWSensors) ha sido beneficiaria del Fondo Europeo de Desarrollo Regional (FEDER) dentro del Program Operativo FEDER de la Comunitat Valenciana 2014-2020  cuyo objetivo es mejorar la competitividad de las PYMES valencianas. El programa de asesoramiento en materia de internacionalización del Cheque Tutorías Inernacionalización para el ejercicio 2021, gestionado por el IVACE, en el que participará AWSensors este año es el de Marketing Digital Internacional (EXPORNET). El programa EXPORNET consiste en un asesoramiento especializado en posicionamiento internacional, a través del uso de Internet como herramienta comercial de ámbito internacional, mediante el diseño de un plan de marketing digital.

 


 

X4 QCMD System

X4 Launching

January 19th 2021: X4 launching

AWSensors is pleased to announce the launching of its new Advanced Multichannel QCMD system, the X4 Instrument, which allows the users to boost their productivity.

X4 Instrument


Visit X4 launching Landing-page

Learn more about this new instrument in its landing page.

Publication on AWSensors technology

Charge Storage Properties of Nanostructured Poly (3,4–ethylenedioxythiophene) Electrodes Revealed by Advanced Electrogravimetry

Authors: Tao Lé, David Aradilla, Gérard Bidan, Florence Billon, Catherine Debiemme-Chouvy, Hubert Perrot, and Ozlem Sel

Journal: Nanomaterials, 2019

European Flag

Internacionalización de AWSensors

25 de noviembre del 2020: Advanced Waves Sensors S.L. (AWSensors) ha sido beneficiaria del Fondo Europeo de Desarrollo Regional cuyo objetivo es mejorar la competitividad de las Pymes y gracias al cual ha puesto en marcha un Plan de Internacionalización con el objetivo de mejorar su posicionamiento competitivo en el exterior durante el año 2020. Para ello ha contado con el apoyo del Programa XPANDE DIGITAL 2019 de la Cámara de Comercio de Valencia.

 


 

QCMD in Lipid Research

QCMD in Lipid Research Tech Note

October 15th 2020: AWSensors is pleased to invite you to take a look to its Technology Note entitled “QCMD in Lipid Research”.

Summary of the Note

QCMD is a label-free surface-analytical technique based on a quartz resonator excited to oscillate at its resonance frequency on one or more overtones. Resonators can have various coatings: gold (Au), silica (SiO2), titania (TiO2), etc. It works in aqueous media or organic solvents and is therefore widely used for studying solid/liquid interfaces. At each overtone, QCMD measures changes in the resonance frequency and energy dissipation due to the processes occurring at the resonator surface. Examples of such processes include formation of a film or changes in the geometrical or physical properties of the film.

The key feature that makes QCMD useful in lipid research is its ability to distinguish between different geometries and topologies of lipidic assemblies at interfaces, for example, homogenous solid-supported bilayers or monolayers vs. adsorbed liposomes or other structures (such as cubosomes) without relying on fluorescent or deuterated labels but by relying on the combination of the frequency and dissipation.

QCMD in Lipid Research

Introduction

Lipid-related QCMD work can be grouped into several topics, with a total of more than a thousand publications:
• Studies focusing on the interactions between lipids and surfaces.
• Studies focusing on the properties of the lipids, such as their phase behavior, adsorbed liposome deformation, etc.
• Studies examining interactions between lipids and membrane-binding proteins, peptides or viruses. Particularly interesting is that QCMD offers a way to study clustering of membrane-bound proteins.
• Studies focusing on the interactions of lipids with polymers or with nanoparticles.

 

Continue reading by downloading the full Technology Note (below) …


Download the Full Technology Note

You can download the full Note in pdf format through this link. A list of our Technology Notes can be found on our Technology Web Page.

Publication on AWSensors technology

Making Advanced Electrogravimetry as an Affordable Analytical Tool for Battery Interface Characterization

Authors: Pierre Lemaire, Thomas Dargon, Daniel Alves Dalla Corte, Ozlem Sel, Hubert Perrot, and Jean-Marie Tarascon

Journal: Anal. Chem., 2020

Publication on AWSensors technology

Liposomes Embedded in Layer by Layer Constructs as Simplistic Exosome Transfer Model

Authors: Gerardo Prieto, Vicente Domínguez-Arca, Rui R. Costa, Ana M. Carvalho, Pablo Taboada, Rui L. Reis, Iva Pashkuleva

Journal: Research Square, 2020

Publication on AWSensors technology

High Fundamental Frequency (HFF) Monolithic Resonator Arrays for Biosensing Applications: Design, Simulations, Experimental Characterization

Authors: Román Fernández; María Calero; Ilya Reviakine; José Vicente García; María Isabel Rocha-Gaso; Antonio Arnau; Yolanda Jiménez

Journal: IEEE Sensors Journal, 2020