Magnetic ZnxFe2-xO3 nanoparticles enhanced nanobiosensor integrated with MOSFETs for efficient detections of biomolecules and cancerous cell.

Year : 2024 | Volume :14 | Issue : 03 | Page : –
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Gizachew Diga,

  1. Associate Professor, Department of Physics, Jimma University, , Ethiopia

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Human brain is mostly responsible with intelligence and consciousness. An artificial equivalence of this action is Nanobiosensor, which is used in artificial intelligence. The need for Nano diagnostics platforms, detecting diseases at genetic, molecular, and cellular level have triggered the development of nano biosensors integrated with MOSFETs. This device enables simple inexpensive rapid tests, accurate imaging methods, and accurate molecular diagnosis at point- of-care (POC). This devise is seen as an innovative approach in detecting pathogens causing disease and drug discovery. In this paper, magnetic nanoparticles enhanced MOSFET integrated nanobiosensor is presented. The MOSFET equation is formulated to explore the connection between various physical parameters. Then the impact of these parameters on the amplification and image resolution is discussed. The study revealed that MOSFET integrated magnetic ZnxFe2-xO3 nanoparticles based nanobiosensor exhibits amplification, image resolution, sensitivity, and specivity in detecting biological organisms, biomolecules, and epidemic disease such as cancer.

Keywords: Nanobiosensor, Nanoparticles, MOSFET, ZnxFe2-xO3, Cancerous Cell

[This article belongs to Journal of Nanoscience, NanoEngineering & Applications (jonsnea)]

How to cite this article:
Gizachew Diga. Magnetic ZnxFe2-xO3 nanoparticles enhanced nanobiosensor integrated with MOSFETs for efficient detections of biomolecules and cancerous cell.. Journal of Nanoscience, NanoEngineering & Applications. 2024; 14(03):-.
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Gizachew Diga. Magnetic ZnxFe2-xO3 nanoparticles enhanced nanobiosensor integrated with MOSFETs for efficient detections of biomolecules and cancerous cell.. Journal of Nanoscience, NanoEngineering & Applications. 2024; 14(03):-. Available from: https://journals.stmjournals.com/jonsnea/article=2024/view=0

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Regular Issue Subscription Review Article
Volume 14
Issue 03
Received 27/09/2024
Accepted 22/10/2024
Published 26/10/2024
168

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