Functional foods · light ↔ nutrition analysis

Light–Nutrition Correlation

Design a light recipe, log your lab nutrient results, and use VibeLux's regression to test whether light and climate correlate with quality compounds — vitamin C, anthocyanins, Brix, carotenoids — in your own crop. It surfaces relationships in your data; it is correlational and advisory, not a guaranteed nutrient increase.

*Correlational and advisory. Results depend on your crop, environment, and data — and need at least ~6 logged samples before a model is fit. Not a medical or health claim.

Built on published photobiology

Correlates your own lab data

Advisory, not a guarantee

How the light ↔ nutrition analysis works

You design the light and run the crop; VibeLux correlates what you logged against your lab results so you can see what actually tracks with a quality compound in your facility.

1 · Design the light

Build a per-wavelength recipe in the designer against your crop-stage targets, including any UV or end-of-day treatments you want to evaluate.

2 · Run & log results

Record your lab nutrient results — vitamin C, anthocyanins, Brix, nitrate, protein. Paste them in by the lab's own names; the importer maps them to canonical analytes.

3 · Correlate

The regression links your logged light, climate, and nutrient drivers against your measured quality outcomes over the matching grow window.

4 · Interpret (advisory)

See which drivers track with each compound in your data, with an honest fit summary — and a "not enough data yet" message until you have ~6 samples.

Nutrition ↔ light analysis

Published light-response findings as a starting hypothesis — to test, not to assume
Correlates spectrum + climate against your own measured nutrient panel
Honest fit reporting (R², p-values, leave-one-out cross-validation)
Refuses to fit below ~6 samples instead of inventing a trend

Spectral Recipe Engine

Per-wavelength spectral control driven by real IES/fixture data
Hold a spectrum steady across a trial to keep the correlation clean
Evaluate UV / end-of-day / blue-shift treatments as trial variables
DLC fixture compatibility and per-channel dimming

Test the light ↔ nutrition relationship in your own crop

Design the light, log your lab results, and let the regression show you what actually tracks — grounded in published research, measured on your data.

Built on peer-reviewed research • Correlational & advisory • Runs on your own lab data

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