| Summary: | This report describes a project that involves creating a dataset of formulations to
develop a model capable of predicting the properties of liquid formulations, with a
focus on shampoo formulations. The aim is to accelerate research and development
cycles and explore sustainable ingredient alternatives, particularly for thickeners
used in shampoos. The surfactants used and the shampoo samples formulated are
tested using a rotational rheometer, and the rheology properties are plotted on a log
viscosity against a log shear rate graph. Using the power law model, the graphs can
be evaluated as Newtonian or non-Newtonian. The report also discusses
traditional and common thickener ingredients used in shampoo
formulations, ways to source alternative ingredients using life cycle assessment and
feasibility tests, and methods to produce more sustainable ingredients, such as
bio-fermentation. Sustainable alternative ingredients to current thickeners will be listed,
such as chitosan, cellulose, carrageenan, hyaluronic acid, and alginate.
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