Polydispersity Index Calculator

Calculate the polydispersity index (PDI) to characterize molecular weight distribution

What is Polydispersity Index?

Polydispersity Index (PDI) is a measure of the breadth of molecular weight distribution in a polymer sample. Polymers, unlike small molecules, consist of chains with varying lengths, and PDI quantifies how uniform or diverse these chain lengths are within a sample. It is defined as the ratio of the weight-average molecular weight (Mw) to the number-average molecular weight (Mn), giving a dimensionless number that ranges from 1.0 (perfectly uniform) upward.

A PDI of exactly 1.0 indicates a monodisperse polymer, where every chain has identical molecular weight. This theoretical ideal is approached but never perfectly achieved in practice, even in living polymerization techniques. Real polymers have PDI values greater than 1.0, reflecting the statistical nature of chain growth. The broader the molecular weight distribution, the higher the PDI value. For example, a polymer with PDI of 2.0 has twice as much spread in chain lengths as a polymer with PDI of 1.5.

PDI is one of the most important characterization parameters in polymer science because molecular weight distribution directly affects material properties. Polymers with narrow distributions (low PDI) tend to have more predictable and uniform mechanical, thermal, and processing properties. Broad distributions can be advantageous in some applications, such as improving processability in melt processing operations.

The PDI Formula

The polydispersity index is calculated from two fundamental molecular weight averages that are typically determined by techniques such as gel permeation chromatography (GPC), also known as size exclusion chromatography (SEC), or by membrane osmometry and light scattering methods.

The number-average molecular weight (Mn) weights each chain equally regardless of size, while the weight-average molecular weight (Mw) gives more weight to larger chains. The ratio Mw/Mn therefore always equals or exceeds 1.0, with the value increasing as the distribution broadens.

Polydispersity Index

PDI = Mw / Mn

Where:

  • PDI= Polydispersity Index (dimensionless, ≥ 1.0)
  • Mw= Weight-average molecular weight (g/mol)
  • Mn= Number-average molecular weight (g/mol)

Interpreting PDI Values

PDI values can be classified into distinct ranges that correlate with polymerization methods and material properties:

PDI Range Classification Typical Source
1.0MonodisperseTheoretical ideal, biological polymers
1.0 – 1.1Very narrowLiving/controlled polymerization
1.1 – 1.5NarrowATRP, RAFT, anionic polymerization
1.5 – 2.0ModerateStep-growth (condensation) polymerization
> 2.0BroadFree radical polymerization

How to Use This Calculator

This calculator determines PDI from two molecular weight measurements, typically obtained from gel permeation chromatography or other analytical techniques:

  1. Enter Mw: Input the weight-average molecular weight in g/mol. This value is biased toward heavier chains in the distribution.
  2. Enter Mn: Input the number-average molecular weight in g/mol. This value is biased toward lighter chains in the distribution.
  3. View Results: The calculator computes PDI = Mw/Mn and classifies the distribution breadth based on established polymer science ranges.

The result includes both the numerical PDI value and a qualitative classification (monodisperse, very narrow, narrow, moderate, or broad) that indicates the likely polymerization method used to produce the sample.

Real-World Applications

PDI measurement is critical in quality control for polymer manufacturing. Pharmaceutical companies producing drug delivery nanoparticles require narrow PDI (typically below 0.2 for the polydispersity index as sometimes reported in nanoparticle sizing) to ensure consistent drug loading and release profiles. In the coatings industry, PDI affects film formation, viscosity, and final surface properties.

In biomedical applications, the PDI of biodegradable polymers like PLGA (poly(lactic-co-glycolic acid)) directly influences degradation rate and drug release kinetics. Narrow PDI polymers degrade more predictably, which is essential for controlled-release drug formulations. Food-grade polymers and thickeners also have specification ranges for PDI to ensure consistent texture, viscosity, and stability in consumer products.

Worked Examples

Living Polymerization PDI

Problem:

A living polymerization yields a polymer with Mw = 52,000 g/mol and Mn = 50,000 g/mol. What is the PDI?

Solution Steps:

  1. 1Identify values: Mw = 52,000 g/mol, Mn = 50,000 g/mol
  2. 2Apply formula: PDI = Mw / Mn = 52,000 / 50,000
  3. 3Calculate: PDI = 1.04
  4. 4Interpret: PDI < 1.1 indicates very narrow distribution from living polymerization

Result:

PDI = 1.04 (very narrow distribution, characteristic of living polymerization)

Step-Growth Polymer PDI

Problem:

A polyester sample has Mw = 30,000 g/mol and Mn = 15,000 g/mol. What is the PDI and what does it suggest about the synthesis?

Solution Steps:

  1. 1Identify values: Mw = 30,000 g/mol, Mn = 15,000 g/mol
  2. 2Apply formula: PDI = Mw / Mn = 30,000 / 15,000
  3. 3Calculate: PDI = 2.0
  4. 4Interpret: PDI of 2.0 is typical of step-growth (condensation) polymerization at moderate conversion

Result:

PDI = 2.0 (moderate distribution, consistent with step-growth polymerization)

Free Radical Polymer PDI

Problem:

A free radical polymerization of styrene gives Mw = 250,000 g/mol and Mn = 80,000 g/mol. Determine the PDI.

Solution Steps:

  1. 1Identify values: Mw = 250,000 g/mol, Mn = 80,000 g/mol
  2. 2Apply formula: PDI = Mw / Mn = 250,000 / 80,000
  3. 3Calculate: PDI = 3.125
  4. 4Interpret: PDI > 2 indicates broad distribution typical of conventional free radical polymerization

Result:

PDI = 3.125 (broad distribution, characteristic of free radical polymerization)

Tips & Best Practices

  • A PDI below 1.1 indicates living or controlled polymerization, useful for precision polymer design.
  • PDI values between 1.5 and 2.0 are typical for step-growth polymerization at full conversion.
  • PDI values above 2.0 commonly indicate free radical polymerization or incomplete reactions.
  • GPC/SEC measurements should use standards similar to your polymer for accurate Mn and Mw values.
  • Temperature and solvent choice during polymerization significantly affect the resulting PDI.
  • For drug delivery applications, target PDI below 0.2 for consistent nanoparticle formulations.

Frequently Asked Questions

The theoretical minimum PDI is exactly 1.0, which represents a perfectly monodisperse polymer where every chain has identical molecular weight. In practice, this is never perfectly achieved, but living polymerization techniques can produce polymers with PDI values very close to 1.0, typically in the range of 1.01 to 1.10.
PDI is most commonly determined by gel permeation chromatography (GPC), also called size exclusion chromatography (SEC). This technique separates polymer chains by hydrodynamic volume and compares their elution times to calibration standards. Multi-angle light scattering (MALS) detectors can provide absolute molecular weight measurements without calibration standards.
PDI affects mechanical strength, thermal behavior, processing characteristics, and degradation rate. Narrow PDI polymers have more predictable and uniform properties, while broad PDI polymers may have wider processing windows but less consistent performance. For drug delivery, narrow PDI ensures uniform drug loading and release.
No. By definition, Mw is always greater than or equal to Mn, so PDI = Mw/Mn is always greater than or equal to 1.0. A value below 1.0 would imply that the number-average molecular weight exceeds the weight-average molecular weight, which is mathematically impossible for any real polymer distribution.
High PDI results from multiple factors: chain transfer reactions, termination by combination and disproportionation, temperature gradients during polymerization, non-uniform initiation, and mixing of different chain populations. Free radical polymerizations inherently produce broad distributions due to the random nature of initiation, propagation, and termination events.

Sources & References

Last updated: 2026-06-06

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Editorial Note

MyCalcBuddy Editorial Team

This page is maintained as an educational calculator reference.

Source

Formula Source: Chemistry: The Central Science

by Brown, LeMay, Bursten

UpdatedLast reviewed: May 2026
CheckedFormula checks are based on standard references and internal QA review.