The usual procedure is simple: insert the probe, wait for a stable reading and note, for example, 0.42 mg/L. It looks direct, but the wine-to-screen result involves a conversion.

An oxygen sensor does not weigh the oxygen in a litre of wine. In a Clark electrode, the current depends on flux through the membrane; in an optical sensor, oxygen quenches an indicator’s luminescence. The primary response reflects oxygen availability at the sensor interface—pO₂ or flux. To express it in mg/L, the instrument applies a solubility relationship.

The result is not necessarily wrong, but it is derived: its accuracy depends on both the sensor and the model. An instrument can be precise and repeatable yet still report only an approximate concentration if the model does not represent the wine.

Many oxygen meters are calibrated in air-saturated water or use water-based solubility relationships. These are suitable references for checking the sensor, but not for assuming that pO₂ and mg/L are related in the same way in wine.

Wine is a complex, reactive hydroalcoholic matrix. Ethanol, sugars, and extract affect solubility; temperature and pressure affect both solubility and transport. Headspace and CO₂ take us still further from a glass of water at equilibrium.

Therefore, no single coefficient applies to every wine. At the same pO₂, different wines may contain different amounts of physically dissolved oxygen; a generic conversion can hide that difference rather than resolve it.

Two matrix effects must be kept separate. The physicochemical effect changes solubility and the pO₂-to-mg/L relationship. The instrumental effect alters sensor response and may depend on the luminophore and its support or, in polarographic instruments, on membrane diffusion. In del Alamo-Sanza et al. (2014)1, deviations were already evident in hPa and differed among instruments. In eight real wines, direct errors of 11–19 % fell to 0–5 % after device-specific compensation for ethanol and sugar, and below 0.5 % with one optical system. This corrected the sensor response; it did not determine the true solubility of the wine.

Between 1970 and 1979, several Soviet groups studied oxygen solubility and measurement in real wines. Language barriers and limited journal access kept the work little known, yet its findings remain remarkably current.

Manuilova found that increasing temperature reduced oxygen solubility while the polarographic response could rise. Fal’kovich concluded that membrane sensors responded to pO₂, not directly to a mass of oxygen. Moditis highlighted the role of extract, and Datunashvili proposed composition-specific equations for wine.

The shared message was clear: converting a signal into mg/L requires knowledge of oxygen solubility in that particular liquid. Half a century later, our sensors are better, but the conversion often remains generic2 3 4 5.

Optical sensors have been a major advance: they are stable, require less maintenance, do not consume oxygen during measurement and allow measurements with minimal disturbance.

Yet the luminophore still responds to oxygen in its immediate surroundings, and the software needs a model to express that response as a mass concentration. Better precision and repeatability do not correct for unknown wine solubility.

We can get a more stable number without making it more universal. Precision and interpretive validity are different questions.

No. Values in mg/L are useful for tracking one wine under fixed conditions and relative changes.

Use them with caution when comparing matrices, instruments, or laboratories; in stoichiometric calculations or estimates of SO₂ requirements; and when interpreting a single reading as if the wine were at equilibrium.

To understand where the number comes from and when it is valid, record the following whenever the instrument allows:

The question is not whether modern oxygen meters measure well, but what the number on the screen means.

In wine, values in mg/L result from a conversion that depends on composition, temperature, pressure, and the solubility model. Possible matrix interference with the sensor adds a separate effect. The two must be evaluated independently.

Recording the native signal and the measurement context, and paying attention to kinetics, makes oxygen control more transparent, comparable, and useful for winery decisions.

Acknowledgements: The authors sincerely thank Alex Schulkin, a researcher at the Australian Wine Research Institute, for his invaluable help in translating the Russian-language articles that form an important part of this review.