D. Pelenis „Research of the excitation and response signals of CMUT biosensors“ doctoral dissertation defence

Author, Institution: Donatas Pelenis, Kaunas University of Technology

Science area, field of science: Technological sciences, Electrical and Electronic Engineering, T001

Scientific Supervisor: Prof. Dr. Darius Viržonis (Kaunas University of Technology, Technological sciences, Electrical and Electronic Engineering,  T001).

Dissertation Defence Board of Electrical and Electronic Engineering Science Field:
Prof. Dr. Liudas Mažeika(Kaunas University of Technology, Technological Sciences, Electrical and Electronic Engineering, T001) – chairman;
Prof. Dr. Elena Jasiūnienė (Kaunas University of Technology, Technological sciences, Electrical and Electronic Engineering, T001);
Prof. Dr. Habil Eugenijus Kaniušas (Vienna University of Technology, Technological sciences, Electrical and Electronic Engineering, T001);
Prof. Dr. Habil Arūnas Lukoševičius (Kaunas University of Technology, Technological sciences, Electrical and Electronic Engineering, T001);
Assoc. Prof. Dr. Ieva Plikusienė (Vilnius University, Natural sciences, Chemistry, N003 );
Prof. Dr. Algimantas Valinevičius (Kaunas University of Technology, Technological sciences, Electrical and Electronic Engineering, T001).

For attendance of remote dissertation defence please join Zoom  meeting room.

The doctoral dissertation is available on the internet and at the library of Kaunas University of Technology (K. Donelaičio St. 20, 44239 Kaunas, Lithuania).

Annotation:

The growing interest in microchannel systems has stimulated recent research, focusing the microchannel-integrated CMUT biosensor on the microscopic analysis systems (µTAS) market, where a single biochemical/electromechanical system can address multiple challenges: measurement, fluid pumping, mixing, and biological element positioning. Considerable attention is being paid to the adaptation of microelectromechanical system technologies in complex liquid microsystems so that devices may function not only as received signal estimators but also as liquid control systems.
It has been shown that CMUT structures with sensors are suitable for the detection and measurement of biomolecules’ interactions with the environment. However, the biosensors response signal processing methods are not adaptive and unsuitable for use. This prevents the proposed technology from being used in mass products. Signal processing can be accomplished with more innovative techniques based on artificial neural networks, which exhibit excellent adaptability and can efficiently process non-linearly changing biosensor response signals.
Alongside signal processing problems, there are microfluidic control problems in the biosensor microchannel. The solution proposes methods for excitation of CMUT microstructures, whereby the kinetic change of biochemical interactions in the CMUT biosensor microchannel can be magnified, decreased, and the positioning of bio-object elements.