DodecaGreen The Green Chemistry Portal

Selectivity calculator.

Quantify how efficiently a reaction produces the desired product relative to all converted material. Choose between product-based and reactant-based selectivity — results update live as you type.

Principle 2 guide
01

What is selectivity — and why does it matter?

+

Selectivity measures how well a reaction channels converted starting material into the desired product, rather than into unwanted by-products. A highly selective reaction wastes little material on side-reactions — directly reducing raw material costs, downstream separation burden, and waste generation. It is a key companion to yield (which measures how much of the theoretical maximum is achieved) and atom economy (which assesses the theoretical efficiency of the balanced equation).

GoalMaximise the fraction of converted reactant that becomes the desired product — an ideal selectivity of 100% means no by-products are formed from consumed starting material.
WhyLow selectivity means raw materials are lost to by-products, increasing cost, purification effort, and waste. In catalysis (Principle 9), catalyst selectivity is a primary design target.
HowTune catalyst, temperature, solvent, and reaction time to favour the desired pathway. Use more selective reagents. Switch from stoichiometric to catalytic conditions. Exploit regioselectivity and chemoselectivity.

The formula

$$S\,(\%) = \frac{n_{\text{desired}}}{n_{\text{converted}}} \times 100$$
SymbolTermNotes
\(S\)Selectivity%; ideal value = 100%
\(n_{\text{desired}}\)Amount of desired product formedmol (or g, if consistent throughout)
\(n_{\text{converted}}\)Total amount convertedProduct-based: \(n_{\text{desired}} + \Sigma\, n_{\text{by-products}}\)
Reactant-based: moles of limiting reactant consumed

All quantities must be in the same units (mol, mmol, g, etc.). Selectivity and yield are related but distinct: you can have high yield with low selectivity if you run the reaction to full conversion using excess reactant, and vice versa.

Two calculation modes

ModeDenominatorWhen to use
Product-based Sum of all products identified (desired + all by-products) When you have quantified all products but have not measured reactant consumption directly. The most common mode in organic synthesis.
Reactant-based Moles of limiting reactant consumed (initial minus residual) When conversion is measured independently (e.g. by GC of reaction mixture) and not all products have been isolated. Common in catalysis and process chemistry.

Selectivity in context: complementary green metrics

MetricWhat it measuresStage
Atom Economy (AE)Theoretical fraction of reactant mass incorporated in desired product (from balanced equation)Design
% YieldFraction of theoretical product actually isolated — depends on both selectivity and conversionExperimental
SelectivityFraction of converted material that forms the desired product — independent of conversionExperimental
E-factorTotal waste per unit product — captures solvents, workup waste, and by-productsExperimental
TON / TOFCatalyst productivity and rate — complements selectivity in catalytic reactionsExperimental

Strengths and limitations

Strengths

  • Directly quantifies reaction efficiency independent of conversion level
  • Applicable to any reaction type: synthesis, catalysis, biological, electrochemical
  • Highlights where material is lost to side-reactions — guides optimisation
  • Consistent across scales; useful for process development benchmarking

Limitations

  • Requires identification and quantification of all significant products (product-based mode)
  • Does not capture solvents, workup, or energy consumption
  • Reactant-based selectivity can exceed 100% if there are errors in conversion measurement
  • Does not distinguish toxicity or environmental impact of different by-products
02

Experiment details

03

Calculation settings

Choose how selectivity is calculated. Product-based uses all identified products as the denominator — ideal when you have isolated or quantified all products. Reactant-based uses moles of consumed limiting reactant — ideal when conversion is measured directly (e.g. by GC) and some products are unidentified.

All amounts entered in sections 04–06 must be in the same units selected above.

04

Desired product

Enter the name and amount of the desired product actually formed. Use the same units as selected in section 03.

Desired product mmol numerator of selectivity
05

By-products & other products

Enter each by-product or undesired product formed in the reaction. Their combined amount, plus the desired product, forms the denominator. Used in product-based mode.

By-product name Amount (mmol)
Σ By-products mmol added to desired product for product-based denominator
06

Converted reactant

Enter the limiting reactant name and the amount consumed (initial amount minus amount remaining). Used in reactant-based mode. Use the same units as section 03.

Consumed mmol denominator for reactant-based selectivity
07

Results

Selectivity
% (higher is better)
Desired Product
mmol
Total Converted
mmol (denominator)
Mode
calculation basis
Selectivity scale (higher is better)
0%60%80%95%100% (ideal)

Product distribution

Desired product vs by-products

08

Detailed breakdown & interpretation

Product / speciesTypeAmount% of convertedVisual
Enter product amounts above to see breakdown.

Interpretation

Enter amounts above to generate an interpretation.
09

Save & load sessions

Sessions are stored in your browser only. No data leaves your device.

No saved sessions yet.
10

Export

Export your selectivity 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.

11

Where can I read more?

+

References are sorted alphabetically by first author.

  1. 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; Principle 2 (Atom Economy) contextualises selectivity as a key efficiency driver.
  2. F. Cavani, G. Centi, S. Perathoner and F. Trifirò (eds), Sustainable Industrial Chemistry, Wiley-VCH, 2009. — Comprehensive treatment of selectivity in industrial heterogeneous catalysis.
  3. D. J. C. Constable, A. D. Curzons and V. L. Cunningham, Green Chem., 2002, 4, 521–527. DOI. — Defines and compares green chemistry metrics including yield, selectivity, and atom economy.
  4. R. A. Sheldon, Green Chem., 2018, 20, 4238–4270. DOI. — Metrics for sustainable chemistry: selectivity, E-factor, atom economy, and their interrelationships.
  5. B. M. Trost, Science, 1991, 254, 1471–1477. DOI. — Introduced the concept of atom economy; selectivity is identified as essential to achieving it in practice.
12

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: 08/06/2026

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.

13

How do I cite this page?

+

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

Reference
BibTeX