The students will gain insight in how to
perform sensory tests (scope, application, testing
environment and methods) and analysis of sensory and
Theory will be combined with tutorials and will cover sensory
analysis with trained panels and consumer panels including:
analysis of sensory panel performance, descriptive
sensory analysis techniques (including classical methods, CATA
and emotional mapping), discrimination/similarity
testing, temporal methods, fast mapping techniques
(Napping, Flash Profile, Consensus Profile, etc.), acceptance
tests in relation to external data (MDPref, PREFMAP, L-PLSR)
and Conjoint Analysis. The methods will be presented,
discussed and assessed for their merits and shortcomings in
research, R&D and QC.
Tutorials will include an introduction to R and specific
packages in R for sensory analysis. Other tutorials will utilise
PanelCheck for sensory panel performance analysis and software
for multivariate analysis (PCA and PLSR).
The course provides an overview of recent and more advanced
sensory methods, techniques and data analysis tools. The objective
is to learn the student to critically reflect over the design of
sensory experiments, the analysis of sensory data, the
interpreation and consequences of the outcomes for making decisions
in business and research.
- Overview over current and advanced analytical and affective
sensory test methods, their scopes, applications and data analysis
- Insight in how to handle sensory product evaluation
- Demonstrate knowledge on experimental sensory test designs and
data analysis by univariate and multivariate methods
- Know the applications and limitations of different data analyses
- Ability to select test methods in relation to specific
sensory and consumer test objectives
- Ability to interpret results of sensory experiments
- Working knowledge of different statistical software programs
- Evaluate the sensory test objective in relation to selecting the
appropriate test method and experimental setup
- Reflect over sensory methods and data analysis tools in realistic
sensory and consumer evaluation situations
Lecture notes and compendium (latest version). The compendium is
available for purchase from Academic Books on Campus.
For the data analysis in this course you need a laptop with Windows
based operating system.
Teaching and learning methods
Lectures, tutorials and practical demonstrations
as well as an excursion.
Recommended Exploratory Data Analysis -
Chemometrics (LLEF10174) and Sensory and Consumer Science
(LLEF10198) or equivalent courses.