DodecaGreen The Green Chemistry Portal

E‑factor calculator.

Calculate the Environmental Factor of any chemical process from the actual masses of inputs and isolated product. Results update live as you type — and every session stays in your browser, never on a server.

Principle 1 guide
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What is E-factor — and why does it matter?

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The E-factor (Environmental Factor), introduced by Roger Sheldon in 1992, is a direct experimental measure of how much waste a chemical process generates per unit of desired product. Unlike atom economy, E-factor captures everything that actually happens in the lab — solvents used, reagents not incorporated, workup waste, and by-products — making it a powerful tool for real-world process evaluation.

GoalMinimise the mass of waste generated per kilogram of desired product — an ideal E-factor of zero means no waste at all.
WhyLower E-factor means less environmental impact, reduced waste disposal costs, and more efficient use of raw materials and energy.
HowReduce solvent volumes, recover and recycle solvents and catalysts, increase yield, reduce synthetic steps, and favour catalysis over stoichiometric reagents.

The formula

$$E = \frac{m_{\text{waste}}}{m_{\text{product}}}$$
SymbolTermUnits
\(E\)E-factor (Environmental Factor)dimensionless (kg kg−1); ideal value = 0
\(m_{\text{waste}}\)Total mass of all process outputs except the desired product (side-products, spent solvent, wash liquors, excess reagents, drying agents)kg (or g)
\(m_{\text{product}}\)Mass of isolated desired productkg (or g)

"Waste" is everything that is not the desired product: unreacted starting materials, by-products, solvents not recovered, spent catalysts, wash liquors, and any auxiliary materials. A lower E-factor is always better. Recovered and recycled materials reduce the waste total.

Typical E-factor by industry sector

SectorTypical E-factorKey driver of waste
Bulk / commodity chemicals< 1–5Highly optimised, large scale, minimal solvent
Fine chemicals5–50Multi-step synthesis, significant solvent use
Pharmaceuticals (API)25–100Complex synthesis, heavy workup, protecting groups
Pharmaceuticals (complex)> 100Many steps, large excess reagents, chiral resolution

Strengths and limitations

Strengths

  • Experimental: captures real-world waste including solvents and workup
  • Simple to calculate from lab records; no molecular weights needed
  • Directly comparable across processes, scales, and industries
  • Can account for solvent/catalyst recovery — rewards circular approaches
  • Widely adopted in industry; recognised by regulatory bodies

Limitations

  • Requires experimental data — cannot be calculated at the design stage
  • Treats all waste equally: 1 kg of water = 1 kg of toxic solvent
  • Does not capture energy consumption, toxicity, or life-cycle impacts
  • Dependent on scale and process efficiency; hard to compare across scales
  • Can be "gamed" by excluding or mis-categorising waste streams

E-factor in context: complementary green metrics

MetricWhat it measuresStage
Atom Economy (AE)Theoretical fraction of reactant mass in desired product (from equation)Design
% YieldFraction of theoretical product actually isolatedExperimental
E-factorMass of all waste per mass of product (all inputs, real scale)Experimental
PMI (Process Mass Intensity)Total mass of all inputs per mass of product; PMI = E-factor + 1Experimental
RME (Reaction Mass Efficiency)AE × yield × stoichiometric factor — combined practical efficiencyBoth
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Experiment details

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Input materials

Enter all materials used in the process: reagents, solvents, catalysts, and workup/purification materials. If a solvent or catalyst is recovered and recycled, enter that mass in "Recovered" — it is subtracted from the waste total. Do not enter the product here.

Material name Category Mass used (g) Recovered (g) Net waste (g)
Σ Net waste g numerator of E-factor
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Desired product(s)

Enter the mass of each desired product actually isolated (not theoretical yield). If your process produces multiple valuable products, add each one — their combined mass forms the denominator of the E-factor.

Product name Mass isolated (g)
Σ Product mass g denominator of E-factor
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Results

E-Factor
kg waste / kg product
Total Waste
grams
Total Product
grams isolated
PMI
Process Mass Intensity
E-factor scale (lower is better)
0 (ideal)1050100+

Waste by material category

Product vs. waste mass balance

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Detailed breakdown & interpretation

MaterialCategoryMass used (g) Recovered (g)Net waste (g)% of wasteVisual
Enter input materials and product above to see breakdown.

Interpretation

Enter your input materials and product mass above to generate an interpretation.
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Save & load sessions

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Export

Export your E-factor calculation as a PDF report or CSV data file. PDF opens in a new tab and uses your browser's print function. CSV downloads directly.

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Where can I read more?

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References are sorted alphabetically by first author.

  1. ACS Green Chemistry Institute. Green Chemistry Resources & Solvent Selection Guide. acs.org/greenchemistry. — Pharmaceutical Roundtable solvent-selection scoring and PMI benchmarking data.
  2. P. T. Anastas and J. C. Warner, Green Chemistry: Theory and Practice, Oxford University Press, 1998. ISBN 978-0-19-850698-0. — Original statement of the 12 Principles; frames waste prevention as Principle 1.
  3. C. Jiménez-González et al., Org. Process Res. Dev., 2011, 15, 912–917. DOI. — Defines PMI; shows solvents account for ~85% of process mass.
  4. R. A. Sheldon, Chem. Ind., 1992, 903–906. — The original paper introducing the E-factor.
  5. R. A. Sheldon, Green Chem., 2007, 9, 1273–1283. DOI. — E-factor fifteen years on: typical values across chemical sectors.
  6. R. A. Sheldon, Green Chem., 2023, 25, 1704–1728. DOI. — E-factor 30-year retrospective; updated metrics and solvent recovery.
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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

© 2024– 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.

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How do I cite this page?

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If you use this tool in teaching or published work, please cite the DodecaGreen portal as the source.

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