Multivariate approaches for optimization of the acceptance: optimization of a brazilian cerrado fruit jam using mixture design and parallel factor analysis

Abstract

Optimization is an important step in the development of a product. Optimization methods are used within the sensory science as a way to obtain results in a specific set of conditions useful to understand cause-and-effect questions for ingredients or to provide potential formulations and direction for product development. In this work, response surface methodology and parallel factor analysis-based method were used for optimization of acceptance parameters in mixed fruit jam using a mixture design. Fruit (murici, marolo, jenipapo, sweet passion fruit and soursop) proportions in a formulation of Cerrado Brazilian fruit jam were optimized for consumer acceptance parameters. An optimized jam was suggested with 40% of marolo, 35% of soursop, 25% of sweet passion fruit, and 0% of murici and jenipapo.