green-synthesis-evaluator

Solid

Sustainability assessment skill for evaluating and designing environmentally friendly nanomaterial synthesis routes

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Skill Content

# 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 ```json { "current_synthesis": { "precursors": ["string"], "solvents": ["string"], "temperatures": ["number"], "reagent_masses": ["number"] }, "product_mass": "number (g)", "product_type": "string" } ``` ## Output Schema ```json { "sustainability_metrics": { "e_factor": "number", "atom_economy": "number (%)", "pmi"...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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