MXene-based biosensors biomedical diagnostics molecular is a M.Tech project topic for Electronics & Communication Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
MXene-based biosensors biomedical diagnostics molecular Project Details
| Abstract |
This research-oriented project framework explores the modeling, signal acquisition, and evaluation of MXene-based biosensors for advanced biomedical diagnostics and wearable health monitoring systems. Utilizing the unique hydrophilic properties, high metallic conductivity, and abundant surface functional groups of transition metal carbides/nitrides (MXenes), this study focuses on the design of robust signal processing pipelines to handle high-sensitivity molecular recognition and electrophysiological data. The methodology involves simulating the electrochemical interface of MXene electrodes to optimize the signal-to-noise ratio (SNR) during the detection of biomarkers and bio-potentials. Advanced digital signal processing (DSP) algorithms, including adaptive filtering and wavelet-based denoising, are integrated to mitigate motion artifacts and environmental interference inherent in wearable configurations. Performance evaluation
is conducted through computational modeling of sensor-skin interfaces, analyzing sensitivity, selectivity, and response times under varying physiological conditions. This framework provides comprehensive guidance for structuring research on high-performance wearable diagnostic platforms, offering implementation support for simulating sensor transduction and signal conditioning stages essential for real-time health monitoring applications.
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| Reference Paper |
MXene-based biosensors for biomedical diagnostics: From molecular recognition to wearable systems |
| Domain |
Electronics & Communication Engineering |
| Sub-Domain |
Signal & Image Processing / Biomedical Signal Processing / Wearable Biosensors |
| PDF Download |
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