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Catalyst Lifetime calculator.

Track activity cycle-by-cycle, model first-order deactivation, and calculate half-life, productive lifetime, and cumulative TON for recyclable catalysts. Results update live as you type — and every session stays in your browser, never on a server.

Principle 9 guide
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What is Catalyst Lifetime — and why does it matter?

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A catalyst's lifetime — how many reaction cycles it can be reused before its activity falls below a useful threshold — is a central green chemistry concern. Under Principle 9, catalysis is preferred over stoichiometric reagents because catalysts are not consumed in the reaction. But that advantage is only realised if the catalyst can be recovered and recycled efficiently. A catalyst that deactivates after a single cycle may still generate more waste than the stoichiometric reagent it replaces.

GoalMaximise the number of productive cycles before catalyst retirement, reducing the amount of precious or hazardous metal waste generated per unit of product.
WhyLonger catalyst lifetime means lower cost-per-turnover, less metal waste, and a lower effective E-factor contribution from the catalyst. It rewards process design that protects the active site.
HowDesign robust ligands, choose mild conditions, avoid catalyst poisons, use immobilised or heterogeneous systems for easy recovery, and monitor activity each cycle.

Key metrics

$$\text{TON}_{\text{cycle}\,n} = \frac{n_{\text{product},n}}{n_{\text{catalyst}}}$$
SymbolTermUnits
$\text{TON}_{\text{cycle}\,n}$Turnover number for cycle nmol mol−1 (dimensionless)
$n_{\text{product},n}$Moles of product isolated in cycle nmol
$n_{\text{catalyst}}$Moles of catalyst (constant — same batch reused)mol
$$A_n = \frac{\text{TON}_n}{\text{TON}_1} \times 100\%$$
SymbolTermUnits
$A_n$Activity retention at cycle n (relative to cycle 1)%

When catalyst deactivation follows first-order kinetics (the most common model for gradual deactivation by sintering, poisoning, or leaching), activity decays exponentially with cycle number:

$$A_n = A_0 \cdot e^{-k_d \cdot (n-1)}$$
SymbolTermUnits
$A_0$Initial activity (= 100% at cycle 1)%
$k_d$Deactivation rate constant (fitted from data)per cycle
$n$Cycle number
$$t_{1/2} = \frac{\ln 2}{k_d}$$
SymbolTermUnits
$t_{1/2}$Half-life: cycles until activity reaches 50% of initialcycles
$k_d$First-order deactivation rate constantper cycle

This tool fits $k_d$ to your experimental data using linear regression on $\ln(A_n)$ vs cycle number. The goodness-of-fit (R²) is reported alongside the extrapolated half-life and productive lifetime. If fewer than three data points are entered, only cumulative TON and per-cycle statistics are reported — the deactivation model requires at least three cycles.

Strengths and limitations

Strengths

  • Directly measures real-world catalyst recyclability
  • Cumulative TON captures the full economic and environmental value of the catalyst
  • First-order model is interpretable and predictive — enables rational catalyst design
  • Works for heterogeneous, homogeneous, and enzymatic catalysts (activity-based, not mechanism-specific)
  • Half-life allows direct comparison across catalyst systems

Limitations

  • Requires experimental multi-cycle data — cannot be determined a priori
  • First-order model may not fit all deactivation mechanisms (e.g. sudden poisoning, or induction periods)
  • Does not capture selectivity loss — activity retention ≠ selectivity retention
  • TON per cycle depends on reaction conditions; only comparable within the same protocol
  • Does not account for regeneration or reactivation between cycles

Catalyst Lifetime in context

MetricWhat it measuresStage
TON (Turnover Number)Moles product per mole catalyst — single-run efficiencyExperimental
TOF (Turnover Frequency)TON per unit time — rate of catalysisExperimental
Catalyst LifetimeCycles of productive use; half-life; cumulative TON across all cyclesExperimental (multi-cycle)
E-factorMass waste per mass product — includes catalyst waste on deactivationExperimental
Activity Retention% of initial activity remaining after n cyclesExperimental
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Experiment details

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Catalyst parameters

Enter the catalyst used in each recycling run. The same physical batch of catalyst is assumed to be recovered and reused. If you regenerate or top up the catalyst between cycles, note this in the experiment details above.

Moles of active metal or active site. Enter in mmol — the calculator converts internally.
Used to convert product mass (g) entered per cycle into moles for TON calculation.
Productive lifetime is reported as the extrapolated cycle at which activity falls below this value. Default: 50% (= half-life).
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Cycle data

Enter the mass of product isolated for each recycling cycle using the same catalyst batch. Cycle 1 is the fresh catalyst run — it sets the 100% activity baseline. Add one row per cycle in sequence. If you have yield % instead of product mass, use the mass of product after workup.

Cycle Product mass (g) TON (cycle) Activity (%) Notes
Σ Cumulative TON total turnovers across all cycles
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Results

Cumulative TON
total turnovers
Half-life
cycles (extrapolated)
Productive Lifetime
cycles to threshold
Deactivation Rate kd
per cycle (R² = )
Activity retention at last measured cycle (higher is better)
0%25%50%75%100%

Activity retention per cycle

TON per cycle & cumulative TON

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Detailed breakdown & interpretation

CycleProduct mass (g)TON (cycle) Activity (%)Model fit (%)ResidualVisual
Enter catalyst parameters and cycle data above to see breakdown.

Interpretation

Enter catalyst parameters and at least two cycles of data to generate an interpretation.
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Save & load sessions

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

No saved sessions yet.
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Export

Export your Catalyst Lifetime analysis 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. 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 9 frames catalysis as a key tool for waste reduction.
  2. I. P. Beletskaya and A. V. Cheprakov, Chem. Rev., 2000, 100, 3009–3066. DOI. — Comprehensive review of palladium-catalysed C–C coupling; discusses catalyst stability and recycling.
  3. G. Busca, Heterogeneous Catalytic Materials, Elsevier, 2014. ISBN 978-0-444-59524-9. — Covers catalyst deactivation mechanisms: sintering, poisoning, coking, and leaching.
  4. R. H. Crabtree, Chem. Rev., 1995, 95, 987–1007. DOI. — Homogeneous catalyst deactivation by cluster and colloid formation; context for TON limitations.
  5. H. S. Fogler, Elements of Chemical Reaction Engineering, 4th edn, Prentice Hall, 2005. — Standard reference for first-order catalyst deactivation kinetics and half-life derivation.
  6. R. A. Sheldon, Green Chem., 2018, 20, 3899–3914. DOI. — Metrics for sustainable catalysis; discusses TON, TOF, and catalyst lifetime in the green chemistry context.
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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: 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.

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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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