About the Green Nanotechnology Course
Program Highlights
Course Curriculum
Module 1: Nano and Materials Science Foundations for Green Nanotechnology
- Analyze the quantum confinement effects and surface-to-volume ratio phenomena governing nanomaterial reactivity in pollutant degradation pathways
- Evaluate the thermodynamic and kinetic principles of photocatalysis, adsorption, and advanced oxidation processes for effluent and air remediation
- Compare the electronic band structures, defect chemistry, and crystal phase properties of TiO2, ZnO, graphene oxide, and MOF-based green nanomaterials
Module 2: Characterization Techniques and Instrumentation Pipelines
- Operate XRD, TEM, SEM-EDS, and AFM systems to determine crystallographic structures, morphologies, and elemental compositions of synthesized nanomaterials
- Interpret BET surface area analysis, DLS, and zeta potential measurements to assess nanoparticle dispersion stability and active site accessibility
- Calibrate UV-Vis DRS, PL spectroscopy, and XPS instruments to characterize optical properties, charge carrier dynamics, and surface chemical states
Module 3: Synthesis, Fabrication, and Process Design
- Design green synthesis protocols using plant extract-mediated reduction, microbial synthesis, and microwave-assisted solvothermal methods to eliminate hazardous precursors
- Optimize hydrothermal reactor parameters, supercritical CO2 processing conditions, and electrospinning setups for scalable nanomaterial fabrication
- Integrate membrane bioreactor-nanoparticle hybrid systems and fluidized bed photocatalytic reactors for continuous-flow industrial effluent treatment
Module 4: Computational Materials Modeling and Simulation
- Construct DFT models using VASP and Quantum ESPRESSO to predict bandgap engineering strategies and pollutant-adsorbate binding energies
- Simulate reactive transport phenomena and mass transfer limitations in multiphase remediation systems via COMSOL Multiphysics and ANSYS Fluent
- Deploy machine learning algorithms in Python with scikit-learn and TensorFlow to predict nanomaterial performance metrics from structural descriptors
Module 5: Device Integration, Testing, and System Performance
- Assemble pilot-scale photocatalytic reactor prototypes with LED-UV arrays, quartz sleeves, and optimized catalyst immobilization substrates
- Execute standardized degradation kinetic studies following ISO 11348 and EPA methods to quantify COD, BOD, TOC, and specific pollutant removal efficiencies
- Validate air remediation performance using controlled-environment smog chambers to measure NOx, SO2, VOC, and particulate matter capture rates
Module 6: Safety, Standards, and Regulatory Compliance
- Assess nanomaterial toxicity profiles, ecotoxicological risks, and life cycle impacts following OECD Test Guidelines and REACH regulatory frameworks
- Develop occupational exposure control plans incorporating NIOSH-approved nanomaterial handling protocols, engineering controls, and PPE selection matrices
- Navigate EPA, ECHA, and ISO/TC 229 nanotechnology standardization landscapes to ensure compliant product registration and market authorization
Module 7: Industrial Applications and Sector-Specific Use Cases
- Diagnose pollutant profiles across textile dyeing, petrochemical refining, semiconductor manufacturing, and pharmaceutical production effluent streams
- Tailor nanomaterial selection and reactor configurations to address heavy metal remediation, persistent organic pollutant destruction, and antibiotic resistance gene inactivation
- Appraise techno-economic feasibility and carbon footprint reduction potential for nanotechnology-integrated remediation in municipal wastewater and flue gas treatment
Tools, Techniques, or Platforms Covered
Quantum ESPRESSO
COMSOL Multiphysics
ANSYS Fluent
Python
scikit-learn
TensorFlow
XRD
TEM
SEM-EDS
Real-World Applications
- Apply air pollution remediation nanotechnology training to energy storage for impactful real-world solutions and tangible results.
- Apply eco-friendly nanomaterials wastewater cleanup to biomedical imaging for impactful real-world solutions and tangible results.
- Apply green nanotechnology course to materials engineering for impactful real-world solutions and tangible results.
- Apply industrial effluent treatment nanotech to electronics miniaturization for impactful real-world solutions and tangible results.
- Apply air pollution remediation nanotechnology training to environmental remediation for impactful real-world solutions and tangible results.
Who Should Attend & Prerequisites
- Designed for Materials science students.
- Designed for Nanotechnology researchers.
- Designed for R&D engineers.
- Designed for Physics and chemistry graduates.
Prerequisites:







