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Developing a Descriptive Sensory Characterization of Flour Tortilla Applying Flash Profile
Sanjuana Rodríguez-Noriega1, José J Buenrostro-Figueroa2, Oscar Noé Rebolloso-Padilla3
1Department of Food Science and Technology, Autonomous Agrarian University Antonio Narro, Calzada Antonio Narro 1923, Saltillo 25315, Mexico.
Understanding food consumption and preference is key. The flash profile (FP) method rapidly identified distinct sensory attributes for flour tortillas, aiding in quality assessment without extensive training.
Area of Science:
- Food Science
- Sensory Analysis
- Consumer Behavior
Background:
- Understanding consumer food preferences and consumption patterns is crucial for product development.
- Descriptive methodologies are essential for identifying product quality attributes.
- The flash profile (FP) method offers a rapid approach to attribute generation without extensive panelist training.
Purpose of the Study:
- To investigate the consumption and preference of flour tortillas among consumers.
- To develop a descriptive characterization of flour tortillas using the flash profile method.
Main Methods:
- Utilized the flash profile (FP) method with ten experienced panelists.
- Generated 22 distinct sensory descriptors (texture, appearance, odor, flavor) for flour tortilla samples.
- Applied Generalized Procrustes Analysis to analyze sensory data and assess panelist performance (Rc = 0.508).
Main Results:
- The flash profile (FP) method successfully generated descriptors that differentiated between commercial and handcrafted flour tortilla samples.
- The first two dimensions of the Generalized Procrustes Analysis explained 83.78% of the data variability.
- Panelist performance was validated with a consensus index (Rc) of 0.508.
Conclusions:
- The flash profile (FP) method is an effective, rapid, and accessible technique for obtaining distinctive sensory attributes of food products like flour tortillas.
- This method aids in understanding product characteristics important for consumer preference and quality assessment.
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