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Definition

Spreadability testing methods and the figures they produce

Each method recreates part of what happens when a product is rubbed onto skin, and each produces its own figures. Laboratories often combine two of them for a fuller picture.

Texture analyser spreading fixtures

A common set-up uses a matched male and female cone. The sample fills the lower cone and the upper cone moves down into it at a set speed, forcing the product to spread outwards. The analyser records force throughout. A product that spreads easily gives a low peak force and a small area under the curve. Other fixtures drag a probe across a thin film on a flat substrate.

Rheometer measurements

A rheometer measures yield stress, the force needed to start a product moving, and viscosity across the shear rates reached when rubbing a cream in. Tests at skin temperature show how a balm or butter softens on contact.

Parallel-plate spreading

A set amount of product sits between two glass plates and a weight is added. The diameter or area of the spread circle after a fixed time gives a simple, low-cost comparison between variants.

Spreading force, yield stress and spread area results

  • Peak force or resistance during spreading
  • Area under the force curve, with its units and calculation stated
  • Yield stress and flow curves for rheological tests
  • Spread area or diameter for plate methods
  • Comparison against a benchmark or earlier batch

The report also gives sample amount, temperature, fixture and speed, so later batches can be tested the same way.

Applications

Using spreadability results in product development

Spreadability data is most valuable early, while the texture of a formula is still being decided.

Steering formulation changes

Spreadability responds quickly to changes in thickener level, emulsifier choice, oil phase and wax content. Measuring each iteration gives the formulator a direct readout of whether a change moved the product towards a lighter or richer glide. Body butters, facial serums and sunscreens sit in very different ranges, so set the target from your own benchmark product.

Linking instrument data with sensory panels

Instrumental spreadability tells you which variants differ and by how much. A trained sensory panel then tells you which differences consumers feel as drag, slip or playtime. Running both on the first few prototypes shows which instrumental figure tracks the attribute you care about, and later rounds can rely more on the instrument.

Variants, benchmark and test temperature to supply

Supply enough of each variant for replicate tests and include the benchmark. State the temperature range of interest, since products meant to melt on skin behave differently at room temperature. If firmness in the jar matters too, the same laboratory can usually add instrumental texture testing on the same samples.

Exploration

More in Texture Colour Testing

Texture colour testing puts numbers on how a cosmetic feels, spreads, transfers from an applicator and looks, so batches can match a reference.

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