Degree of Polymerization Calculator

Calculate number-average and weight-average degree of polymerization from molecular weight data.

Styrene=104, ethylene=28, vinyl chloride=62.5
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Why Polymers Need Two Molecular Weights

A polymer sample is not one molecule repeated — it is a distribution of chain lengths. Two averages are therefore needed, and their ratio characterises how broad the distribution is.

AverageWeights bySensitive toMeasured by
Mn (number)Number of chainsShort chainsOsmometry, end-group analysis
Mw (weight)Mass of chainsLong chainsLight scattering
Mz (z-average)Higher mass momentVery long chainsUltracentrifugation
Xn = Mn/M0     PDI = Mw/Mn

Because Mw weights long chains more heavily, it is always at least as large as Mn. PDI is therefore always ≥ 1, and equals exactly 1 only for a perfectly uniform sample — which in practice occurs only for proteins and DNA, where synthesis is template-directed.

PDIDistributionTypical origin
1.0MonodisperseProteins, DNA
1.02–1.1Very narrowLiving anionic, RAFT, ATRP
1.5–2.0ModerateStep-growth polymerisation
2–5BroadFree radical polymerisation
> 10Very broadBranched, e.g. LDPE

Distribution breadth matters practically. Short chains act as plasticisers, softening the material and lowering its melting range; very long chains raise melt viscosity and complicate processing. Two samples with identical Mn but different PDI behave quite differently.

Worked Examples

Example 1: Polystyrene: Mn=50000, Mw=120000, M0=104
Xn=481, Xw=1154
Result: PDI=2.4 — broad distribution (free radical)
Typical FRP polystyrene
Example 2: Living polymerization: Mn=50000, Mw=52000
PDI=1.04 — very narrow
Result: RAFT or anionic polymerization
Controlled radical polymerization target: PDI<1.1
Example 3: Step-growth polymerisation
Polyester at 99% conversion, Carothers equation Xn = 1/(1−p)
Result: Xn = 100
Step-growth needs very high conversion for useful chain length. At 95% conversion Xn is only 20 — which is why these polymerisations are driven so hard.
Example 4: Comparing at equal Mn
Two samples, Mn = 50,000, PDI 1.05 versus 2.5
Result: Same Xn, very different properties
The broad sample contains both short chains that soften it and long chains that raise melt viscosity. Identical average, different material.

Common Mistakes

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Assuming PDI can be below 1

Mw is always at least Mn because it weights heavier chains more. A calculated PDI under 1 means the input values are wrong.

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Using Mw to find the degree of polymerisation

Xn is defined from Mn, the number average. Using Mw overstates chain length substantially for broad distributions.

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Forgetting to subtract end groups

For precise work, Mn includes the initiator and terminator fragments. For long chains this is negligible, but for oligomers it matters.

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Treating PDI as a quality measure alone

Narrow distribution is not always better. Some applications need a broad distribution for processability, where short chains aid flow.

Frequently Asked Questions

PDI (dispersity) physical meaning?
Ideal monodisperse: PDI=1.0. Living anionic: PDI=1.01-1.1. Controlled radical (RAFT, ATRP): PDI=1.1-1.5. Free radical: PDI=1.5-2.0. Step-growth: PDI→2.0 at high conversion. PDI affects material properties: processing, strength.
Mn vs Mw vs Mz?
Mn: counts chains equally (affects colligative properties). Mw: weights by mass (affects mechanical properties). Mz: higher average (affects melt flow). For narrow distributions (PDI~1): Mn≈Mw≈Mz. GPC measures all three simultaneously.
Why is PDI always at least 1?
Because Mw weights chains by mass, giving longer chains more influence than Mn does. The two are equal only when every chain is identical.
What PDI does free radical polymerisation give?
Typically 2 to 5, because chain initiation, propagation and termination occur throughout the reaction, producing chains of widely varying length.
How do living polymerisations achieve narrow PDI?
All chains initiate at nearly the same moment and grow at the same rate without termination, so they end up close to the same length — PDI near 1.05.
Which average should I use for degree of polymerisation?
Mn, the number average, since Xn counts monomer units per chain on a per-molecule basis.

Formula Explorer connections

Interpretation: This formula connects molecular properties, material structure or environmental transport to a macroscopic behavior or exposure estimate. Assumption: Use parameters measured for the same material, solvent, temperature and environment. Empirical correlations may not transfer outside their calibration range.

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