Gizachew Diga,
- Associate Professor, Department of Physics, Jimma University, , Ethiopia
Abstract
The human brain is mostly responsible for intelligence and consciousness. An artificial equivalence of this action is nanobiosensor, which is used in artificial intelligence. The need for nanodiagnostics platforms for detecting diseases at the genetic, molecular, and cellular level has triggered the development of nanobiosensors integrated with MOSFETs. This device enables simple, inexpensive rapid tests, accurate imaging methods, and accurate molecular diagnosis at point-of-care (POC). This device is seen as an innovative approach in detecting pathogens causing disease and drug discovery. In this paper, a 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 nanobiosensors exhibit amplification, image resolution, sensitivity, and specivity in detecting biological organisms, biomolecules, and epidemic diseases, such as cancer.
Keywords: Nanobiosensor, Nanoparticles, MOSFET, ZnxFe2-xO3, Cancerous Cell
[This article belongs to Journal of Nanoscience, NanoEngineering & Applications ]
Gizachew Diga. Magnetic ZnxFe2–xO3 Nanoparticles Enhanced Nanobiosensor Integrated with MOSFETs for Efficient Detections of Biomolecules and Cancerous Cells. Journal of Nanoscience, NanoEngineering & Applications. 2024; 14(03):33-44.
Gizachew Diga. Magnetic ZnxFe2–xO3 Nanoparticles Enhanced Nanobiosensor Integrated with MOSFETs for Efficient Detections of Biomolecules and Cancerous Cells. Journal of Nanoscience, NanoEngineering & Applications. 2024; 14(03):33-44. Available from: https://journals.stmjournals.com/jonsnea/article=2024/view=180292
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Journal of Nanoscience, NanoEngineering & Applications
| Volume | 14 |
| Issue | 03 |
| Received | 27/09/2024 |
| Accepted | 22/10/2024 |
| Published | 26/10/2024 |
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