BMEG-E 521 Bionanosystems Processes and Devices
3 credits
- Prerequisite(s): None
- Delivery: On-Campus
Description
This course covers the design, development, and integration of devices within bionanosystems, bridging nanoscale materials with micro-, meso-, and macroscale components. Students explore electronic, electromechanical, and biomedical devices, including nanodevices and nanobiosensors, using AI-driven modeling, optimization, and data analysis tools. Applications include precision sensing, advanced diagnostics, and next-generation medical technologies.
Topics
Introduction to bionanosystems
- Definition and scope
- Applications in biotechnology
- Current trends and future directions
Fundamentals of biosensors and mechanisms
- Types (electrochemical, optical, etc.)
- Transduction mechanisms
- Signal processing and amplification
Nanomaterials and fabrication techniques
- Synthesis for biosensors
- Characterization techniques (SEM, TEM, spectroscopy)
- Micro- and nano-fabrication processes
Biomarkers and diagnostics
- Types (genomic, proteomic, etc.)
- Role in diagnostics
- Detection methods
Electronic components and optical sensing
- Electronic circuits in nanodevices
- Optical sensing principles (fluorescence, SPR)
- Diagnostic applications
Microfluidics and fluid transport
- Microfluidics principles (fluid dynamics, thermodynamics)
- Fluid transport methods (pressure-driven flow, electro-osmosis)
- Lab-on-a-chip applications
Disease-specific applications
- Case studies (HIV, cancer)
- Customizing biosensors
- Limitations and challenges
Portable and smartphone-based biosensors
- Portable biosensor development
- Smartphone integration
- Real-world applications
Electromechanical systems and bioMEMS
- Basics of BioMEMS
- Electromechanical system integration
- Design and fabrication challenges
AI-driven modeling and optimization
- Role in nanotechnology
- Predictive modeling and simulations
- Optimization techniques
Precision sensing technologies
- Advanced methods (colloidal nanoparticles, plasmonic sensors)
- Quantitative analysis
- Enhancing accuracy and sensitivity
Data analysis techniques
- Machine learning applications
- Statistical methods
- Challenges in complex datasets
Macroscale integration
- Bridging nanoscale components to macroscale devices
- Scalability and integration challenges
- Applications in real-world systems
Next-generation medical technologies
- Emerging solutions for healthcare
- Advanced diagnostic and therapeutic device design
- Ethical and practical considerations
Learning Outcomes
- Analyze the principles, mechanisms, and applications of bionanosystems and biosensors.
- Evaluate the role of nanomaterials and fabrication techniques in device performance.
- Analyze diagnostic challenges and design disease-specific biosensor solutions.
- Evaluate the integration of electronic and optical components in nanodevices.
- Assess the role of AI in modeling, optimization, and analysis of bionanosystems.
- Apply precision sensing techniques to detect and quantify biomolecules.
- Integrate nanoscale, micro-, meso-, and macroscale components into cohesive devices.
- Design innovative solutions for biomedical challenges using next-generation medical technologies.
- Effectively communicate technical solutions and design innovations through written and oral formats.
Policies and Procedures
Please be aware of the following linked policies and procedures. Note that in individual courses instructors will have stipulations specific to their course.