E-modules/knowledge clips week 1 Flashcards
(10 cards)
3 reasons to test/do methods
- discrimination
- are products different? - descriptive
- how do product differ? - affective
- how well are products liked?
analytics vs. hedonic
analytic: strong control, high internal validity, reliability, few subjects
hedonic: predict real life, weaker control, high external validity, many subjects
psychophyics vs psychohedonics
psychophysics: relation between physical, chemical properties of a food & perception of consumer
psyhcohedonics: relation between physical, chemical properties & the liking/pleasentness of food
intensity supression
intensity of certain odor is suppressed by the presence of others
supression release
adapting the nose to either 1 of 2 components –> makes the other stand out more
surpression vs synergy
supression: sweet en bitter, sweet supressed
synergy: one taste enhances the intensity of another
- adding salt in a cake mix to enhance sweetness
what is a descriptive analysis
is a method aiming to provide quantitative measures of the sensory attributes/properties of a set of products
- dynamic or static
differences
1. generation of sensory attributes
2. degree of subject training
3. use of reference materials & scaling
Flavour profile method
- use of consensus technique: trained subjects evaluate food products while discussing and defining attributes together
- use of reference material
- each product 1 profile, ranging from 0-3 on every attribtute
limits
- QL descriptive method: only 1 score, no statistics possible
- only flavor
Quantitative descriptive analysis
- collectie data from individuals in same setting
- attribute generation and use –> leading to consensus approach
- reference material occasionally
- scale was used: place score on line with anchor
limits:
- time to invest in panel training
- no absolute intensity scores, always dependent on products set and range between products
Texture profile method
- flavor wasn’t enough, also need for texture
fixed sensory vocabulary linked to physical standards including defined attributes
- scoring: intentie scales labelled with fixed references
limits:
- high degree of training
+ vocabulary is nice, useful for shorter methods