| Abstract [eng] |
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. |
