A comparison of design and analysis techniques for mixtures

Abstract

This paper compares design and analysis techniques for mixtures. The main focus is on comparing a statistical treatment taking the mixture aspect fully into account and another where only a subset of the mixture variables is considered both in the design phase and during analysis. Mixture techniques are of special importance for product development and optimization of food products and processes. The methods are tested on data from a baking experiment where three flours were mixed in different proportions and the different flours were baked in three different process conditions. The example is of importance for understanding the relationship between flour quality, baking process and bread quality. The main conclusion is that treating the design as a true mixture design and analyzing the data in terms of all variables involved is advantageous compared to a treatment where only a subset of the mixture variables is considered. ©