Silva-Paz Reynaldo J, Avilés Pérez Humberto A, Rivera-Ashqui Thalia A, Apaza-Humerez Carmen R
Escuela de Ingeniería en Industrias Alimentarias, Departamento de Ingeniería, Universidad Nacional de Barranca, Av. Toribio de Luzuriaga N° 376 Mz J. Urb. La Florida, Barranca 15169, Peru.
Escuela Profesional de Ingeniería de Industrias Alimentarias, Facultad de Ingeniería y Arquitectura, Universidad Peruana Unión, Km 19 Carretera Central, Ñaña, Lima 15457, Peru.
Foods. 2025 Aug 21;14(16):2898. doi: 10.3390/foods14162898.
Sensory evaluation is essential to understand consumer perception. This study compared three descriptive methods (Check-All-That-Apply (CATA), Flash Profile, and Pivot Profile) to characterize muffins formulated with alternative flours (purple corn and amaranth) in comparison to a wheat-based control. Six formulations (T0-T5) were evaluated: CATA and Pivot Profile were applied with 100 consumers, while Flash Profile was conducted with 15 panelists. Multivariate statistical analyses were used: correspondence analysis for CATA and Pivot, and Generalized Procrustes Analysis for Flash Profile. All three methods showed high discriminative power: CATA explained 94.36% of the variance, identifying three main groups; Flash Profile explained 63.88%, highlighting differences in texture and aroma; and Pivot Profile explained 81.10%, revealing complex interactions among sensory attributes. Sample T1 (100% purple corn) showed a distinctive sensory profile (bitter and dry), while samples T2 to T5 presented intermediate characteristics. The RV coefficient confirmed significant congruence between the methods. CATA effectively identified relevant sensory differences, Pivot Profile generated descriptors in relation to a control sample, and Flash Profile enabled exploratory analysis. The choice of method depends on the study objective, with each approach offering complementary sensory information.
感官评价对于理解消费者认知至关重要。本研究比较了三种描述性方法(勾选所有适用项(CATA)、快速轮廓分析法和枢轴轮廓分析法),以表征用替代面粉(紫玉米和苋菜籽)配制的小松饼,并与以小麦为基础的对照品进行比较。评估了六种配方(T0 - T5):100名消费者参与了CATA和枢轴轮廓分析法的评估,而15名小组成员参与了快速轮廓分析法。使用了多变量统计分析:CATA和枢轴轮廓分析法采用对应分析,快速轮廓分析法采用广义Procrustes分析。所有三种方法均显示出较高的判别能力:CATA解释了94.36%的方差,识别出三个主要组;快速轮廓分析法解释了63.88%,突出了质地和香气的差异;枢轴轮廓分析法解释了81.10%,揭示了感官属性之间的复杂相互作用。样品T1(100%紫玉米)呈现出独特的感官特征(苦和干),而样品T2至T5呈现出中间特征。RV系数证实了这些方法之间存在显著的一致性。CATA有效地识别了相关的感官差异,枢轴轮廓分析法生成了与对照样品相关的描述符,快速轮廓分析法实现了探索性分析。方法的选择取决于研究目的,每种方法都提供了互补的感官信息。