🔬 Melissopalynology: Analysing Pollen in Honey

About this simulation

Every jar of honey carries a microscopic fingerprint: pollen grains swept up as foraging bees moved between flowers. Melissopalynology — the study of pollen in honey — dissolves a honey sample, spins down the sediment, and mounts it on a slide. Under the microscope, each plant family's pollen has a distinctive size, wall texture and shape, letting analysts read the "pollen spectrum" of a jar and check it against label claims.

How it works

• This slide shows five stylised grain types: clover (smooth ellipsoids), citrus (flattened tri-lobed forms), manuka (small angular tetrahedra), dandelion (spiky spheres), and a mixed "other" category standing in for minor taxa.
• Changing the floral source resets the mixture of grain types to match a plausible pollen spectrum for that honey.
• The Louveaux classification used by melissopalynologists labels a taxon predominant (>45%), secondary (16–45%), important minor (3–16%) or minor (<3%) of the counted grains.
• A single-origin label is only considered consistent if its named plant is the predominant pollen type — this simulation checks that automatically.

Controls

• Floral source — the labelled origin of the honey sample; regenerates the pollen mixture.
• Magnification — zooms the microscope field, as if switching objective lenses.
• Grain density — how many grains were counted on the slide.
• Highlight species — dims every grain type except the one selected, useful for counting by eye.
• Auto-rotate slide — slowly turns the coverslip; drag to rotate manually, scroll to zoom.

Did you know?

Real melissopalynologists typically count at least 500 grains per slide to estimate percentages reliably, and honey with unusually little pollen for its type can flag ultra-filtration — a technique sometimes used to disguise a honey's true origin or mask adulteration.