
Academic Consortium Publications for December 2024
We are starting 2025 with a lekker cup of honeybush tea and December research publications by Compusense Academic Consortium members. So, let’s begin by celebrating Erika I. Moelich, Magdalena Muller, Martin Kidd, Marieta van der Rijst, and Elizabeth Joubert for their recent publication comparing different methods for classifying honeybush tea. Ten trained descriptive sensory assessors used directed sorting to put 15 tea samples into 2 to 5 groups, then describe each group. The task was done in triplicate for each of three directions: sorting based on aroma, sorting based on flavour, taste, mouthfeel, and sorting based on all of the above. These results were analyzed by correspondence analysis and by DISTATIS with barycentric text projection. Generally, these different sorting directions and analysis methods led to similar conclusions as results obtained from multivariate analyses of quantitative-descriptive sensory analysis data. Some takeaways for those using directed sorting: choose a task appropriate for the product type and use enough replications to get stable results (higher product complexity will require more reps). Find out more about their study and other recent research publications here.