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name: green-synthesis-evaluator description: Sustainability assessment skill for evaluating and designing environmentally friendly nanomaterial synthesis routes allowed-tools:

• Read
• Write
• Glob
• Grep
• Bash metadata: specialization: nanotechnology domain: science category: synthesis-materials priority: medium phase: 6 tools-libraries:
  • LCA tools
  • Green chemistry databases
  • Sustainability metrics calculators graph: domains: [domain:nanotechnology] skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:data-analysis] workflows: [workflow:experiment-design] roles: [role:research-engineer]

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Green Synthesis Evaluator

Purpose

The Green Synthesis Evaluator skill provides comprehensive sustainability assessment for nanomaterial synthesis routes, enabling design of environmentally friendly processes through green chemistry metrics and lifecycle analysis.

Capabilities

• Green chemistry metrics calculation (E-factor, atom economy)
• Lifecycle assessment integration
• Bio-based precursor database
• Solvent sustainability scoring
• Energy consumption estimation
• Waste minimization strategies

Usage Guidelines

Sustainability Assessment

1. Green Chemistry Metrics

   • E-factor = mass waste / mass product
   • Atom economy = MW product / MW reactants x 100%
   • Process mass intensity (PMI)

2. Solvent Selection

   • Use GSK solvent selection guide
   • Prefer water, ethanol, or bio-solvents
   • Avoid chlorinated and aromatic solvents

3. Energy Optimization

   • Minimize reaction temperatures
   • Reduce processing times
   • Consider microwave/ultrasonic assistance

Process Integration

• Green Synthesis Route Development
• Nanoparticle Synthesis Protocol Development

Input Schema

{
  "current_synthesis": {
    "precursors": ["string"],
    "solvents": ["string"],
    "temperatures": ["number"],
    "reagent_masses": ["number"]
  },
  "product_mass": "number (g)",
  "product_type": "string"
}

Output Schema

{
  "sustainability_metrics": {
    "e_factor": "number",
    "atom_economy": "number (%)",
    "pmi": "number"
  },
  "solvent_score": "number (1-10)",
  "green_alternatives": [{
    "change": "string",
    "improvement": "string",
    "feasibility": "high|medium|low"
  }],
  "overall_rating": "string"
}