Methodology

What Is the Iyengar Flavor Index?

The Iyengar Flavor Index (IFI) is an eight-axis flavor scoring system that normalizes compound activity against receptor saturation, rather than reporting raw concentration. It measures what a compound actually does to your nervous system, not just how much of it is present.

The Problem With SHU

The Scoville Heat Unit measures capsaicinoid concentration โ€” a mass measurement. Two constructs at the same SHU can produce very different perceived heat if their capsaicinoid profiles differ. Dihydrocapsaicin activates TRPV1 with a slower onset and longer duration than capsaicin, even at equivalent concentration. Homocapsaicin activates TRPV1 more potently per molecule. A SHU number captures none of this.

The IFI was developed to solve this: normalize the signal to the receptor's response, not to the mass of the compound. An IFI-H score of 50 means the construct activates TRPV1 at 50% of its saturation response โ€” the same as 50 on IFI-S means 50% of sweet receptor saturation, regardless of which compound produces that activation.

The Eight Axes

The IFI covers the eight primary chemosensory receptor systems relevant to engineered flavor:

IFI-F: The Full-Spectrum Composite

IFC constructs (Integrated Flavor Constructs) are scored on IFI-F โ€” a weighted composite of all eight axes that represents the total sensory impact of a construct across the full flavor receptor spectrum. IFI-F is used to compare constructs that engineer multiple axes simultaneously, ensuring that the interactions between heat, sweetness, umami, and kokumi are accounted for rather than evaluated in isolation.

How IFI Scores Are Measured

IFI scoring uses a combination of biochemical assays and cell-based reporter systems:

All constructs in the Scoville Splice catalog include IFI validation data at minimum from protoplast-level testing. Full plant-level validation data is included with Tier IIIโ€“V constructs.

IFI Versus Conventional Flavor Analysis

Conventional flavor analysis reports chemical concentrations โ€” parts per million of capsaicin, free glutamate, menthol. These numbers are precise but don't directly predict what a human will perceive, because receptor activation is nonlinear (Hill equation kinetics), subject to interaction effects (kokumi enhances sweet and umami), and depends on the mixture of compounds, not just individual concentrations.

IFI converts concentration to receptor activation percentage, putting all flavor dimensions on a common scale. This makes it possible to specify a construct by its intended effect โ€” "60% heat, 40% sweet, 20% umami" โ€” and design toward that target using the IFI scoring of intermediate steps, rather than specifying chemical concentrations and hoping the perception matches. It is the native language of the IPAP platform and the scoring system the entire 18,500-construct catalog is organized around.

Reading the Catalog

Every product in the catalog is tagged with its primary IFI axis (the modality code) and its IFI-F score for multi-axis constructs. M2 (dual-axis) and M3 (triple-axis) constructs include full axis breakdowns. The IFI scores are predictions from the Intelligent Palate Architecture Platform and are validated against experimental protoplast data before listing.