- Overview of bio-nano interactions and their significance
- Key measurement challenges at the nanoscale
- Case studies illustrating measurement in diagnostics and therapeutics
- Measurement of nanostructures in scaffolds
- Surface and mechanical property testing for implants
- Biocompatibility and integration analysis
- Nanoscale detection of pollutants and contaminants
- Characterization of nanomaterials for water purification and waste management
- Lifecycle and environmental impact assessment
- Standardization and validation of measurement protocols
- Safety, biocompatibility, and environmental compliance
- Ethical considerations in bio-nano experimentation
- High-throughput characterization platforms
- Real-time nanoscale monitoring
- Integration with AI and data analytics for predictive modeling
- Apply advanced measurement techniques to a real-world bio-nano problem
- Develop a dataset, perform analysis, and present results
- Example projects: Characterize a nanoparticle-based drug delivery system or evaluate a nanosensor for environmental monitoring
- Healthcare: Nanoparticle-based drug delivery monitoring, biosensor development
- Diagnostics: Lab-on-a-chip validation, disease detection sensitivity testing
- Tissue Engineering: Scaffold surface and mechanical characterization
- Environmental Science: Pollutant detection, nanomaterial lifecycle analysis
- Industrial Research: Pharmaceutical and biotech R&D for bio-nano product development
Scanning Electron Microscopy (SEM)
Transmission Electron Microscopy (TEM)
Dynamic Light Scattering (DLS)
Lab-on-a-chip devices and nanosensors
Data analysis using MATLAB and Jupyter Notebook
This course is particularly suited for:
- Postgraduate students and PhD researchers in nanotechnology, biotechnology, biomedical engineering, or materials science
- Industry professionals in pharmaceutical, biotech, or environmental sectors
- Faculty designing bio-nanotechnology labs or curricula
- Technical specialists seeking practical expertise in nanoscale measurement
Prerequisites: Understanding of basic nanomaterials and biological systems. Familiarity with laboratory practices is helpful. No advanced programming required, though basic data analysis skills recommended.








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