State University of Campinas (UNICAMP), Cidade Universitária "Zeferino Vaz", s/n, Campinas, São Paulo 13083-862, Brazil; Federal Fluminense University (UFF), Food Technology Department, Rua Senador Furtado, n° 121/125, Niterói, Rio de Janeiro 20270-021, Brazil.
State University of Campinas (UNICAMP), Cidade Universitária "Zeferino Vaz", s/n, Campinas, São Paulo 13083-862, Brazil.
Food Res Int. 2017 Sep;99(Pt 1):375-384. doi: 10.1016/j.foodres.2017.06.001. Epub 2017 Jun 3.
Product characterization has been a primary concern for the food industry, and methodologies based on consumers' perceptions have become popular and widely used by industries to replace classical methods. Although there are several studies on other methods, the potential of reference-based one such as Pivot Profile is still little explored. Therefore, the aims of this study were to characterize Greek yogurt samples according to consumers' perceptions using three different methodologies: Pivot Profile (PP), Check-all-that-apply (CATA), and Projective Mapping (PM), and to assess which method is easier for consumers to describe products. The rapid methodologies assessed were equally effective in characterizing the different samples; however, some drawbacks evidenced in the study can help in targeting and choosing the best method to perform the sensory characterization. Pivot Profile showed some advantages, bypassing some limitations presented by the other methods. In addition, its experimental versatility also allows for broad applications evidencing the PP technique as a promising tool for routine use. Some implications of using it were also discussed. We suggest the supplemental use of Multidimensional Alignment (MDA) as it shows more accurately the correlations between attributes and samples, especially in the case of PP data.
产品特征描述一直是食品行业关注的主要问题,基于消费者感知的方法已经变得流行,并被行业广泛用于替代经典方法。尽管已经有其他方法的研究,但参考点分析(Pivot Profile)等基准方法的潜力仍未得到充分探索。因此,本研究的目的是使用三种不同的方法(Pivot Profile、Check-all-that-apply 和投射映射)根据消费者的感知来描述希腊酸奶样品,并评估哪种方法更容易让消费者描述产品。评估的快速方法在表征不同样品方面同样有效;然而,研究中发现的一些缺点有助于针对和选择执行感官特征描述的最佳方法。Pivot Profile 显示出一些优势,避免了其他方法存在的一些局限性。此外,其实验的多功能性也允许广泛的应用,证明了 Pivot Profile 技术是一种有前途的常规使用工具。还讨论了使用它的一些影响。我们建议补充使用多维对齐(Multidimensional Alignment),因为它更准确地显示了属性和样品之间的相关性,特别是在 Pivot Profile 数据的情况下。