Validation of Optimization Methods for Sensory Characteristics Using Rate-All-That-Apply and Intensity Scales: A Case
Yoojin Jeong1, Han Sub Kwak2,3, Manyoel Lim2
1Department of Food Science and Nutrition, Dankook University, Cheonan 31116, Republic of Korea.
Foods (Basel, Switzerland)
|September 14, 2024
Summary
Consumer sensory profiling using Rate-All-That-Apply (RATA) and Intensity Scales (IS) can effectively replace trained descriptive analysis (DA) for product optimization in external preference mapping (EPM). Both methods accurately identify ideal product profiles and sensory characteristics.
Area of Science:
- Food Science
- Sensory Science
- Consumer Research
Background:
- Preference mapping (PM) integrates consumer and descriptive analysis (DA) data for product optimization, but trained panelists may not represent diverse consumers.
- Consumer-based methods are explored as alternatives to DA, yet their effectiveness in product optimization is limited.
- External preference mapping (EPM) aims to optimize products by understanding consumer preferences and sensory attributes.
Purpose of the Study:
- To evaluate consumer-based profiling techniques (RATA and IS) as alternatives to DA in EPM for product optimization.
- To determine if RATA and IS can accurately identify ideal sensory profiles and optimal product formulations.
- To compare the efficacy of DA, RATA, and IS in predicting consumer liking and market acceptance.
Main Methods:
- Seven commercial apple juices were evaluated by 8 trained panelists for 12 sensory attributes (DA).
- 160 consumers assessed the same attributes using a 5-point Rate-All-That-Apply (RATA) scale and a 10 cm Intensity Scale (IS).
- Danzart's response surface ideal modeling and barycenter calculations were used to identify optimal products for DA, RATA, and IS.
Main Results:
- DA, RATA, and IS successfully identified ideal products and their sensory characteristics.
- High concordance was found between DA and RATA (Rv = 0.92) and between DA and IS (Rv = 0.91) for sensory intensities.
- No significant differences in overall liking or preference were observed among ideal products identified by DA, RATA, and IS.
Conclusions:
- Both RATA and IS are viable alternatives to DA in EPM for identifying ideal sensory profiles.
- Consumer-based sensory profiling can effectively guide product optimization, offering a more representative approach than trained panels alone.
- The study validates the use of RATA and IS for predicting consumer acceptance and optimizing product sensory attributes.
