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Predicting subjective spreadability, viscosity, and stickiness.

M L DeMartine, E L Cussler

    Journal of Pharmaceutical Sciences
    |June 1, 1975
    PubMed
    Summary
    This summary is machine-generated.

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    This study successfully predicted subjective spreadability and viscosity using fluid mechanics principles. However, predicting perceived stickiness based on time proved challenging, yielding low correlation.

    Area of Science:

    • Rheology and Fluid Mechanics
    • Tribology and Surface Science

    Background:

    • Understanding subjective sensory perceptions of liquids is crucial for product development.
    • Existing models often lack a strong foundation in fundamental fluid mechanics for tactile properties.

    Purpose of the Study:

    • To predict subjective tactile properties (spreadability, viscosity, stickiness) using fluid mechanics.
    • To validate predictions against human perception using rheological data.

    Main Methods:

    • Applied fluid mechanics principles to model finger-based tactile perception.
    • Approximated finger geometry as parallel plates to simplify rheological analysis.
    • Utilized rheological data from Newtonian and non-Newtonian liquids across a wide viscosity range.

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    Main Results:

    • Achieved high correlation coefficients (0.95) for predicted spreadability and viscosity.
    • Demonstrated a low correlation coefficient (0.09) for predicted stickiness.
    • Identified shear stress as key for spreadability/viscosity perception and time for stickiness.

    Conclusions:

    • Fluid mechanics can effectively predict perceived spreadability and viscosity.
    • Perceived stickiness is not accurately predicted by time-based fluid mechanics models.
    • Further research is needed to model complex tactile properties like stickiness.