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比较两种快速描述性感官技术,用于分析和筛选高粱面包的喜好驱动因素。

Comparison of two rapid descriptive sensory techniques for profiling and screening of drivers of liking of sorghum breads.

机构信息

Faculty of Health Sciences, University of Brasilia, Campus Darcy Ribeiro, Brasilia, DF 70910-900, Brazil.

Brazilian Agricultural Research Corporation (Embrapa) Milho e Sorgo, Sete Lagoas, MG 35701-970, Brazil.

出版信息

Food Res Int. 2020 May;131:108999. doi: 10.1016/j.foodres.2020.108999. Epub 2020 Jan 18.

Abstract

Rapid descriptive methods have emerged as a relatively simple alternative for screening the sensory attributes of products that drive their liking, and may contribute to identify sorghum genotypes with potential for development of gluten-free breads with higher consumer acceptance. Two rapid techniques, Check-All-That-Apply (CATA) and Optimized Descriptive Profile (ODP), were herein compared on their ability to describe, discriminate and identify the drivers of liking of sorghum breads. Gluten-free bread formulations were developed using flours from selected sorghum genotypes (CMSS005, BR 501, BRS 332, BRS 330, BRS 305 and 1167048), besides commercial sorghum and rice flours. A semi-trained panel (n = 18) evaluated the samples using the ODP method, whereas consumers (n = 124) completed the CATA questionnaire and rated the liking in a 9-point hedonic scale. A total of 24 and 11 sensory descriptors were perceived by assessors as different among samples for CATA and ODP, respectively, with color and appearance-related attributes critical to discriminate samples in CATA, whereas flavor and texture descriptors had also prominent contribution in ODP. A similar pattern of sample distribution was noticed for both methods, which were shown to be highly and positively correlated (RV = 0.92, p < 0.002). Genotypes influenced the consumer perception of sorghum breads, being the BRS 332 and the CMSS005 breads among the most and the least accepted samples for either consumer segment, respectively. While 10 drivers of liking were identified by CATA, including 'appearance of whole flour breads', 'uniform alveoli', 'neutral flavor' and 'soft aroma', in ODP 'crumb color', 'crust color', 'spots' and 'traditional bread aroma' drove bread acceptance. In summary, both methods were successfully applied and provided similar pattern of sample discrimination, whereas the attributes used for sample characterization, as well as those identified as drivers of liking were generally different. The ODP offers a simpler option for a quantitative perspective, while CATA remains as an easy method considering qualitative aspects, being clearly faster than ODP.

摘要

快速描述性方法已成为一种相对简单的替代方法,可用于筛选驱动产品喜好的感官属性,并且可能有助于识别具有开发消费者更易接受的无麸质面包潜力的高粱基因型。本文比较了两种快速技术,即全选法(CATA)和优化描述性剖面法(ODP),以确定它们描述、区分和识别高粱面包喜好驱动因素的能力。使用选自高粱基因型(CMSS005、BR 501、BRS 332、BRS 330、BRS 305 和 1167048)的面粉以及商业高粱和米粉开发了无麸质面包配方。一个半训练小组(n=18)使用 ODP 方法评估了样品,而消费者(n=124)则完成了 CATA 问卷,并在 9 分愉悦量表上对喜好进行了评分。评估员认为 CATA 和 ODP 分别有 24 个和 11 个感官描述符在样品之间存在差异,其中颜色和外观相关属性对于 CATA 中区分样品至关重要,而风味和质地描述符在 ODP 中也有突出贡献。两种方法都注意到样品分布模式相似,并且高度正相关(RV=0.92,p<0.002)。基因型影响消费者对高粱面包的感知,BRS 332 和 CMSS005 面包分别是消费者群体中最受欢迎和最不受欢迎的面包。通过 CATA 识别出 10 个喜好驱动因素,包括“全麦面包的外观”、“均匀的肺泡”、“中性风味”和“柔软的香气”,而在 ODP 中,“面包屑颜色”、“外壳颜色”、“斑点”和“传统面包香气”驱动面包的接受度。总之,两种方法都成功应用,并提供了类似的样品区分模式,而用于样品特征描述的属性以及被确定为喜好驱动因素的属性通常是不同的。ODP 提供了一种更简单的定量视角选择,而 CATA 仍然是一种考虑定性方面的简单方法,比 ODP 明显更快。

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