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OTFT Based Biosensor for Detection of Breast Cancer Biomarker (C-erbB-2)

Published:05 June 2023Publication History

ABSTRACT

This paper presents the numerical simulation to detect the breast cancer biomarker (C-erbB-2) in saliva/serum using an organic thin-film transistor (OTFT). The numerical model for the C-erbB-2 interface charge equivalent is used. The biosensor is intended to detect C-erbB-2 with high sensitivity in blood serum samples. The numerical simulation is carried out with the help of the SILVACO ATLAS software, which allows for the modeling of the OTFT operation for detecting the C-erbB-2 biomarker. The sensitivity of the biosensor is investigated by varying the concentration of the cancer biomarker C-erbB-2 and observing the corresponding changes in the device's electrical characteristics. The proposed OTFT-based biosensor is a promising platform for the early detection of breast cancer. It can be integrated into wearable or implantable medical devices to monitor C-erbB-2 levels in the body continuously. The biosensor can detect varying levels of C-erbB-2 biomarkers in serum as well as in saliva, and the value of the maximum drain current sensitivity is obtained as 5.557 x 102.

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    • Published in

      cover image ACM Conferences
      GLSVLSI '23: Proceedings of the Great Lakes Symposium on VLSI 2023
      June 2023
      731 pages
      ISBN:9798400701252
      DOI:10.1145/3583781

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      • Published: 5 June 2023

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