DodecaGreen Score.
Assess a chemical process against all twelve Principles of Green Chemistry using an anchored rubric. Score each principle 0–5 and watch the radar chart and overall score update live. All data stays in your browser and nothing is sent to any server.
What is the DodecaGreen Score — and how does it work?
The DodecaGreen Score is a holistic, rubric-based assessment of how well a chemical process adheres to the 12 Principles of Green Chemistry (Anastas & Warner, 1998). Unlike single metrics such as atom economy or E-factor, it provides a 360° view across all principles simultaneously.
The formula
| Symbol | Term |
|---|---|
| $P_i$ | Score for Principle $i$ (0 = very poor / no data, 5 = excellent); maximum 5 per principle |
| 60 | Maximum possible total (12 principles × 5) |
Score interpretation
| DodecaGreen Score | Rating | Typical interpretation |
|---|---|---|
| ≥ 75% | Excellent | Process exemplifies green chemistry across most principles |
| 50–74% | Good | Strong in several areas; targeted improvements possible |
| 35–49% | Moderate | Notable gaps; multiple principles need attention |
| < 35% | Needs improvement | Fundamental redesign recommended across several principles |
Strengths and limitations
✓ Strengths
- Holistic — covers all 12 Principles simultaneously
- Flexible — works at any stage from lab-scale to industrial
- Communicable — percentage is easy to understand and compare
- Reveals imbalances that single metrics miss
- Anchored rubric criteria improve inter-rater reliability
⚠ Limitations
- Subjective element — expert judgement and available data required
- All 12 Principles weighted equally (context may differ)
- A high overall score can mask a very poor score on one critical principle
- Does not replace quantitative metrics — use alongside E-factor, AE, PMI
- Inter-rater reliability improves with the anchored rubric, but is not guaranteed
The DodecaGreen Score in context: complementary metrics
| Metric | What it measures | Stage |
|---|---|---|
| DodecaGreen Score | Holistic rubric assessment across all 12 Principles | Any |
| Atom Economy (AE) | Fraction of reactant mass in desired product (theoretical) | Design |
| E-factor | Total waste per unit of product (includes solvents) | Experimental |
| PMI | Total input mass per unit product | Experimental |
| RME | Combined practical efficiency (AE × yield × stoichiometry) | Experimental |
Assessment rubric
Each level is anchored to measurable criteria to improve inter-rater reliability. Use this table alongside the individual principle guides (click any principle name in the Score section below).
| Principle | 0 — Very Poor or Missing Data | 1 — Poor | 2 — Needs improvement | 3 — Satisfactory | 4 — Good | 5 — Excellent |
|---|---|---|---|---|---|---|
| 1. Prevention | Ef ≥ 4.00 | 2.00 ≤ Ef < 4.00 | 1.00 ≤ Ef < 2.00 | 0.50 ≤ Ef < 1.00 | 0.25 ≤ Ef < 0.50 | Ef < 0.25 |
| 2. Atom Economy | AE < 30% | 30 ≤ AE < 45% | 45 ≤ AE < 60% | 60 ≤ AE < 75% | 75 ≤ AE < 90% | AE ≥ 90% |
| 3. Less Hazardous Synthesis | >1 GHS Cat. 1–2 | Only 1 GHS Cat. 1–2 | ≥1 GHS Cat. 3 | ≥1 GHS Cat. 4 | Only GHS Cat. 5 | No GHS hazard codes |
| 4. Designing Safer Chemicals | No LD50/LC50 data | LD50 < 5 mg/kg or LC50 < 0.5 mg/L | 5 ≤ LD50 < 50 | 50 ≤ LD50 < 300 | 300 ≤ LD50 < 2000 | LD50 ≥ 2000 mg/kg |
| 5. Safer Solvents | Multiple GSK "red" solvents | Single GSK "red" solvent | Multiple GSK "yellow" | Only one GSK "yellow" | Only GSK "green" solvents | No solvents used |
| 6. Energy Efficiency | kWh ≥ 20 | 5 ≤ kWh < 20 | 2 ≤ kWh < 5 | 0.5 ≤ kWh < 2 | 0.05 ≤ kWh < 0.5 | kWh < 0.05 |
| 7. Renewable Feedstocks | 0% renewable | 0–20% renewable | 20–40% renewable | 40–60% renewable | 60–80% renewable | 80–100% renewable |
| 8. Reduce Derivatives | ≥5 deriv. steps | 4 steps | 3 steps | 2 steps | 1 step | 0 steps |
| 9. Catalysis | No catalyst | TON = 1 (stoichiometric) | 1 < TON ≤ 50 | 50 < TON ≤ 1000 | 1000 < TON ≤ 100 000 | TON > 100 000 |
| 10. Design for Degradation | t½ ≥ 365 d or no data | 180 ≤ t½ < 365 d | 60 ≤ t½ < 180 d | 10 ≤ t½ < 60 d | 1 ≤ t½ < 10 d | t½ < 1 d |
| 11. Real-time Analysis | No analysis | Post-reaction only | Occasional in-process | Frequent in-process | Continuous in-process | Automated monitoring & feedback |
| 12. Inherently Safer Chemistry | ΔT > 200 K or ΔP > 50 bar or explosive | 100 < ΔT ≤ 200 K or 10 < ΔP ≤ 50 bar | 50 < ΔT ≤ 100 K or 1 < ΔP ≤ 10 bar | 0 < ΔT ≤ 50 K and 1 < ΔP ≤ 10 bar, Cat. 4–5 | ΔT ≤ 50 K and ΔP = 0, Cat. 4–5 | ΔT = 0, ΔP = 0, no GHS codes |
AE = atom economy · Ef = E-factor · GHS = Globally Harmonized System · TON = turnover number · t½ = environmental half-life
Score your process
Use the rubric above to assign each principle a score of 0–5. Click a principle name to open its full guide page.
Results
Detailed breakdown & interpretation
| Principle | Score | Level | Comment |
|---|
Interpretation & recommendations
Adjust the sliders above to see the interpretation.
Experiment details
Export
Export the current assessment as a PDF report, CSV data file, or SVG radar chart.
Save & load sessions
Data is stored only in your browser's localStorage — nothing is sent to any server. Delete all data at any time using the button below.
Where can I read more?
- P. T. Anastas and J. C. Warner, Green Chemistry: Theory and Practice, Oxford University Press, 1998. — Original statement of the 12 Principles of Green Chemistry.
- R. A. Sheldon, "The E-Factor 25 years on: the rise of green chemistry and sustainability," Green Chem., 2017, 19, 18–43. DOI
- C. Jiménez-González et al., "Using the Right Green Yardstick," Org. Process Res. Dev., 2011, 15, 912–917. DOI
- B. M. Trost, "Atom Economy: a Challenge for Organic Synthesis," Angew. Chem. Int. Ed., 1995, 34, 259–281.
- ACS Green Chemistry Institute Pharmaceutical Roundtable, PMI/E-factor benchmarking reports (ongoing).
Contributors
Roles follow the CRediT taxonomy (Contributor Roles Taxonomy), adapted for educational software. Hover a contributor's name for a summary, or a column header for the definition of that role.
| Contributor |
|---|
© 2025– DodecaGreen Project. All rights reserved. · Last updated: 03/06/2026
This portal was built with the assistance of a large language model (Claude, Anthropic), which was used to generate and refine code, articulate and structure contributed ideas within the defined page format, and support iterative design decisions. All scientific content, conceptual frameworks, pedagogical choices, and final outputs were directed, reviewed, and verified by the contributors listed above.
Whilst every effort has been taken to ensure accuracy, mistakes can happen. If you notice something that doesn’t look quite right, kindly reach out to the DodecaGreen team via the Contact page.
How do I cite this page?
If you use this tool in teaching or published work, please cite the DodecaGreen portal as the source.