感官分析作为一种简单和低成本的工具来评价和评估农村社区当地水果的新产品——以刺梨果为例

IF 3 Q2 FOOD SCIENCE & TECHNOLOGY
Beverages Pub Date : 2023-09-04 DOI:10.3390/beverages9030074
Ikram Es-Sbata, Remedios Castro-Mejías, Carmen Rodríguez-Dodero, Rachid Zouhair, E. Durán-Guerrero
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引用次数: 0

摘要

刺梨(仙人掌(L)。Mill.)是仙人掌科的一种植物,可以生长在干旱和半干旱的气候中。这种水果被认为是营养、抗氧化成分和健康促进物质的良好来源,如甜菜碱和多酚。种植区的社区可以重新评估这种水果的价值的方法之一是使其生产的产品多样化。这项研究提出了多刺梨醋的制作及其感官特征。使用两种不同的方法,传统的定量描述分析(QDA)和自由选择分析(FCP)测定了它们的芳香图谱。QDA和FCP这两种技术都获得了类似的芳香图谱,尽管最后一种方法已被证明是一种耗时费力的方法。具有最高芳香强度和最高果味和花香的葡萄酒是通过在30°C下的深层培养和使用醋杆菌菌株生产的。据透露,自由选择剖析感官技术是一种有用且低成本的工具,可用于创新从当地含糖原料中获得的产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensory Analysis as a Simple and Low-Cost Tool to Evaluate and Valorize a New Product from Local Fruits in Rural Communities: The Case of Highly Aromatic Vinegar from Prickly Pear Fruits
Prickly pear (Opuntia ficus-indica (L). Mill.) is a plant that belongs to the Cactaceae family and can grow in arid and semi-arid climates. This fruit is considered a good source of nutrients, antioxidant constituents and health-promoting substances, such as betalains and polyphenols. One of the ways in which the communities in the cultivation areas can revalorize this fruit is by diversifying the products that can be made from it. This research proposes the elaboration of prickly pear vinegars and their sensory characterization. Their aromatic profile has been determined using two different methodologies, the traditional Quantitative Descriptive Analysis (QDA) and the Free Choice Profiling (FCP). Similar aromatic profiles have been obtained by both techniques, QDA and FCP, although the last one has proven to be a less time- and effort-demanding method. The vinegars with the highest aromatic intensity and the highest fruity and floral notes were those that had been produced through submerged culture at 30 °C and using Acetobacter malorum strains. It was revealed that the Free Choice Profiling sensory technique is a useful and low-cost tool for innovating in products obtained from a local sugary raw material.
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来源期刊
Beverages
Beverages FOOD SCIENCE & TECHNOLOGY-
CiteScore
6.10
自引率
8.60%
发文量
68
审稿时长
11 weeks
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