Microfabricated Biosensor for Detection of Disease Biomarkers Based on Streaming Current Method
2023 (English)In: Intelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2022, Springer Nature , 2023, p. 715-723Conference paper, Published paper (Refereed)
Abstract [en]
A microfabricated biosensor based on the streaming current method is presented in this work. The microfabricated sensor consists of a silicon microchannel, which is enclosed with a glass capping to form a closed microchannel. The depth of the microchannel is approximately 10 µm in width and length varying from 50 to 100 µm. The silicon is etched using deep reactive ion etching (DRIE) to form a microchannel. For the capping of the channel, a glass wafer of type Borofloat is used and anodically bonded to the silicon wafer to form a closed microchannel. The microchannel is then functionalized to be specific to certain biomarkers which can be a potential biomarker for cancer, for example. The method used for detection is called the streaming current method. In this method, fluid is flown through the microchannel with high pressure close to six bars. The surface of the silicon is oxidized, which has a zeta potential of approximately 2.7. Depending on the type of fluid the charge concentration varies. By having a pressure in the channel, the charges get distributed as an anode and cathode at the inlet and outlet electrodes of the microfluidic channels. At a fixed potential, a streaming current is observed, which is proportional to the charge accumulated. The difference between the streaming current with and without the biomarker is correlated to the concentration. Hence, a biosensor based on the streaming current method can be realized, which could be used for potential cancer biomarker detection.
Place, publisher, year, edition, pages
Springer Nature , 2023. p. 715-723
Keywords [en]
Biosensor streaming current, Microfluidics, Microsensor, Silicon
National Category
Other Physics Topics
Identifiers
URN: urn:nbn:se:kth:diva-350242DOI: 10.1007/978-981-99-4634-1_56Scopus ID: 2-s2.0-85177863144OAI: oai:DiVA.org:kth-350242DiVA, id: diva2:1883625
Conference
International Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2022, Virtual, Online, NA, Nov 24 2022 - Nov 26 2022
Note
Part of ISBN 9789819946334
QC 20240711
2024-07-112024-07-112024-07-11Bibliographically approved