Balanced incomplete block design: an alternative for data collection in the optimized descriptive profile

Area of Science:

• Sensory Science
• Food Science
• Statistical Methods in Sensory Analysis

Background:

• The Optimized Descriptive Profile (ODP) is a novel sensory evaluation methodology designed for untrained assessors.
• ODP utilizes reference materials and an attribute-by-attribute protocol for consistent, quantitative sample assessment.
• Simultaneous sample and reference presentation is key to ODP, but sample number can be a limitation.

Purpose of the Study:

• To investigate the Balanced Incomplete Block Design (BIBD) as an alternative data collection method for ODP.
• To assess the data quality obtained using BIBD within the ODP framework.
• To determine if BIBD can increase the applicability of the ODP methodology.

Main Methods:

• Sensory evaluation of grape juice formulations with varying pulp and sugar content.
• Two independent panels used the ODP protocol with different experimental designs: Balanced Complete Block Design (BCBD) and BIBD.
• Comparison of data quality from BCBD and BIBD using ANOVA, F-test power, and regression models.

Main Results:

• Data from ODP using BIBD showed high similarity to ODP using BCBD.
• All formulations differed significantly (p<0.05) across all attributes, with test power (1-β) > 0.95.
• Regression models from both designs exhibited overlapping 95% confidence intervals.

Conclusions:

• BIBD is a suitable alternative for data collection in ODP without compromising result quality.
• The use of BIBD expands the practical application of the ODP methodology.
• ODP with BIBD provides reliable sensory data for product development and quality assessment.