Can an instrument recognise sensory beef quality in real time?

Beef quality assessment still combines origin data, visual traits, experience and sensory evaluation. A study published in Meat Science in July 2026 examines whether rapid evaporative ionisation mass spectrometry, or REIMS, can add a fast chemical signature to this process. The technology analyses metabolites directly from intact tissue and creates patterns associated with muscle type and sensory quality classes.

In the study, REIMS distinguished two muscles with very high separation; the reported accuracy for this binary muscle classification was 100 per cent. Predicting sensory quality within a muscle was more demanding. For rump muscle, accuracy ranged from 63 to 73 per cent depending on the model and classification. That is relevant, but far from an infallible quality decision.

This difference is exactly what makes the work interesting. Chemically identifying a muscle is not the same as predicting the later eating experience with certainty. Tenderness, juiciness and flavour emerge from the animal, muscle, metabolism, ageing, storage and cooking. An instrumental signal can capture part of that system, but it cannot automatically control every later step. The study therefore demonstrates both the potential and the limits of data-based sorting.