Mastery course · Advanced Perfumery Chemistry

Odor Activity Values: From Concentration to Impact

Turn a partial pressure into an air concentration and an odor activity value, then into perceived intensity with Stevens' law, and see where it misleads.

In short

An odor activity value is an air concentration divided by an odor threshold: how many times above threshold a material is in the air. It ranks which components are likely to matter, and it can be calculated from a formula through Raoult's law and the ideal gas law. It does not measure importance in a mixture, because mixtures suppress and enhance their components; omission tests are how you check it.

What you will learn

  • Convert a partial pressure to an air concentration with the ideal gas law
  • Calculate a headspace odor activity value and explain what it ranks
  • Apply a power-law intensity function and state why doubling a dose rarely doubles intensity
  • Explain, with Grosch's evidence, why a high OAV does not guarantee an odorant matters in a mixture

Before this lesson: Raoult's Law and the Headspace of a Perfume, Odor Intensity: Rating Strength Reliably, Gas Chromatography-Olfactometry

Before you start

This lesson builds on partial pressures, the vocabulary of odor intensity and odor value, and the logic of GC-olfactometry, where dilution-to-threshold methods come from.

From partial pressure to concentration

For an ideal gas, moles per volume are p/RT, so mass per volume is

C = p · M / (R · T)

With p in pascals, M in g/mol, R = 8.314 J/(mol·K) and T in kelvin, C comes out in g/m³. Continuing the worked blend from the Raoult's law lesson: material A at 0.0102 kPa = 10.2 Pa, M = 136 g/mol, 25 °C:

C = 10.2 × 136 / (8.314 × 298.15) = 0.559 g/m³ = 559 mg/m³.

The odor activity value

OAV = C / OT, where OT is the odor threshold in air, in the same units. If A's threshold were 0.01 mg/m³ (an invented figure for the arithmetic), its headspace OAV would be about 56,000. That is not an intensity: it says only that A is very far above the level at which it can be detected. Ranking materials by OAV is the classic way to shortlist key odorants, and in food chemistry it is paired with aroma recombination and omission, as Grosch's review describes.

Two caveats are built in. First, OAVs for the same compound can differ by orders of magnitude depending on which published threshold you choose, because thresholds depend on method, panel and medium. Report the threshold's source with every OAV, and prefer thresholds measured in air for a headspace calculation. Second, an OAV is calculated per component; a perfume is not smelled one component at a time.

Intensity is not proportional to concentration

Above threshold, perceived intensity ψ grows approximately as a power of concentration, after Stevens:

ψ = k · Cn

For odor, n is typically well below 1. With n = 0.5, doubling C raises ψ by 20.5 ≈ 1.41, and a tenfold increase by about 3.16; with n = 0.3, doubling gives only about 1.23. This is why overdosing a material yields diminishing returns in loudness while changing balance, and why an OAV of 56,000 against one of 5,600 does not mean "ten times stronger".

Where it misleads

  • Mixture suppression. In mixtures, components commonly suppress each other's perceived intensity, and humans can identify only a few components of a complex mixture (Laing and Francis). A high-OAV material can be masked; a low-OAV one can carry a character.
  • Thresholds are not exponents. Two materials with equal OAV can have different power-law exponents, so they grow differently with dose.
  • Headspace is not what reaches the nose. Evaporation and air dilution between surface and nose lower every concentration, by factors you rarely know.

In professional practice

OAV reasoning is used to prioritize: which trace components of a natural might explain its character, which impurity might explain an off-note, which materials in a reconstruction deserve the most precision. It is a hypothesis generator. The decision about whether a component matters is made by smelling with and without it.

Open questions

Whether a mixture's perceived intensity can be predicted from its components' intensities and exponents is still argued over; several combination rules have been proposed, and none holds generally. Perfumes, with dozens of components far above threshold, are a hard test case that the literature has barely touched.

Practical exercise: Rank an accord by OAV, then test the ranking by omission

About 150 minutes · You will have: an OAV table for a four-material accord, an omission test of the top two, and a written comparison of the two rankings

  1. Choose a four-material accord you have already made. For each material, find a vapor pressure and an air odor threshold in published sources, and record both with their sources and temperatures.
  2. Calculate ideal partial pressures at your accord's composition, then air concentrations and OAVs. Rank the four.
  3. Make the full accord and two omission versions, each missing one of your two top-ranked materials, with the weight replaced by solvent so the others are unchanged.
  4. Run a triangle test for each omission against the full accord, with at least six people, coded and randomized as in blinded test design.
  5. Compare: did the higher-OAV omission produce the more detectable difference?

You have done this well if each OAV carries the source of its threshold, you report the range of published thresholds where you found more than one, the omission samples differ only by the omitted material, and your conclusion says what six people can and cannot establish statistically.

Common mistakes

  • Mixing threshold media. A threshold in water is not a threshold in air.
  • Treating OAV as loudness. It ranks potential; Stevens' exponent governs loudness.
  • Omitting without replacing the weight. Then every other material's share changes too, and you are testing two things.

Safety

Omission tests are smelled on strips, never on skin. Read the SDS for every material and follow the safe handling lesson; volunteers are briefed as in the ethics lesson.

Key terms

Air concentration
Mass of a substance per volume of air, here in mg per cubic meter. From a partial pressure p, it is pM/RT.
Omission test
A sensory test that removes one component from a reconstituted mixture and asks whether panelists can detect the difference. It tests importance directly, where an OAV only predicts it.
Power-law exponent
The exponent n in Stevens' law, ψ = kC^n. For odor it is usually well below 1, so intensity grows much more slowly than concentration.

Knowledge check

1. A material's partial pressure is 10.2 Pa at 25 °C and its molar mass is 136 g/mol. What is its air concentration?
Show the answer

About 559 mg/m³. C = pM/RT = 10.2 × 136 / (8.314 × 298.15) ≈ 0.559 g/m³ = 559 mg/m³.

2. With a power-law exponent of 0.5, doubling an odorant's concentration multiplies perceived intensity by about what?
Show the answer

1.41. 2 to the power 0.5 is about 1.41.

3. What did Grosch's review report about high-OAV odorants in food aromas?
Show the answer

They are often essential, but some are suppressed in the mixture and matter less than lower-OAV compounds. The review found OAVs frequently identify key odorants, with exceptions explained by interactions in mixtures; omission experiments are the check.

4. Why is an odor threshold taken from one paper risky to combine with a vapor pressure from another?
Show the answer

Thresholds vary widely with method and panel, so the OAV inherits that uncertainty. Published thresholds for the same compound can differ by orders of magnitude; the OAV is only as good as the threshold.

Written and reviewed by the RUŌOD Lab team. This is general education, not legal, regulatory, medical or safety advice. Example dilutions and exercises are for learning, are not validated products, and have not been safety-assessed. Completing a lesson confers no qualification. How we check these lessons.