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Enhancing the performance of micro-biosensors by functionally graded geometrical and material parameters
Yasser M Shabana1, Mohamed A Samy1, Mohamed A Abdel-Aziz1
1Faculty of Engineering, Helwan University, P.O. Box 11718, Mataria, Cairo, Egypt.
Summary
This study enhances micro-biosensor performance by analyzing functionally graded materials and geometry. Optimizing these parameters improves biosensor sensitivity and detection limits for critical applications like COVID-19 detection.
Area of Science:
- Biomedical Engineering
- Materials Science
- Nanotechnology
Background:
- The COVID-19 pandemic highlights the urgent need for high-performance biosensors.
- Micro-biosensors require enhanced sensitivity and accuracy for disease detection.
- Current biosensor designs may not fully leverage material and geometric variations.
Purpose of the Study:
- To investigate the impact of functionally graded material and geometric parameters on micro-biosensor behavior.
- To explore methods for enhancing micro-biosensor sensitivity and limit of detection.
- To analyze the effects of surface stress and van der Waals forces on microcantilever-based biosensors.
Main Methods:
- Utilized a power-law function to model gradual changes in material and geometric properties along the biosensor length.
- Incorporated surface stress and van der Waals intermolecular forces into the energy calculations.
- Employed numerical methods to solve complex, size-dependent governing equations for functionally graded biosensors.
- Applied Castigliano method to evaluate equivalent forces for concentrated and distributed loads.
Main Results:
- Demonstrated that functionally graded parameters significantly influence micro-biosensor performance.
- Validated results for uniform, homogeneous biosensors against existing literature.
- Showcased the potential for improved sensitivity and lower limit of detection in functionally graded biosensors.
- Identified specific parameter choices and gradation exponents that enhance biosensor performance.
Conclusions:
- Functionally graded materials and geometries offer a promising approach to significantly boost micro-biosensor performance.
- Tailoring material and geometric properties through gradation functions is key to optimizing sensitivity and detection limits.
- This research provides a framework for designing next-generation biosensors with superior capabilities for pandemic response and other applications.

