Suppr超能文献

构建通用且可演化的食物质地轮盘和词汇表。

Construction of a Generic and Evolutive Wheel and Lexicon of Food Textures.

作者信息

Bondu Caroline, Salles Christian, Weber Magalie, Guichard Elisabeth, Visalli Michel

机构信息

CSGA (Centre des Sciences du Goût et de l'Alimentation), CNRS, INRAE, Institut Agro, Université de Bourgogne-Franche Comté, F-21000 Dijon, France.

BIA (Unité Biopolymères, Interactions, Assemblages), INRAE, F-44000 Nantes, France.

出版信息

Foods. 2022 Oct 5;11(19):3097. doi: 10.3390/foods11193097.

Abstract

In the context of data management and processing, food science needs tools to organize the results of diverse studies to make the data reusable. In sensory analysis, there are no classification or wheel of textural attributes that can be used to interpret the results of sensory studies. Research from the literature and databases was used to elaborate a list of attributes related to texture. With the help of a group of experts in food texture, work on these attributes and the related concepts was conducted to classify them into several categories, including intensity levels. The classification was represented as a texture wheel, completed by a generic lexicon of definitions of texture concepts. The work can be useful as a reference in texture attributes related to foods, and thanks to implementation in a general ontology based on food processing and observation, it can help query and interpret texture-related results from sensory studies.

摘要

在数据管理和处理的背景下,食品科学需要工具来整理各种研究的结果,以使数据可重复使用。在感官分析中,没有可用于解释感官研究结果的质地属性分类或轮盘。利用文献和数据库中的研究成果,精心编制了一份与质地相关的属性列表。在一组食品质地专家的帮助下,对这些属性和相关概念进行了研究,将它们分为几个类别,包括强度级别。该分类以质地轮盘的形式呈现,并辅以质地概念定义的通用词汇表。这项工作可作为与食品相关的质地属性的参考,并且由于在基于食品加工和观察的通用本体中的实施,它可以帮助查询和解释感官研究中与质地相关的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d266/9562153/77e8f7eaeaa2/foods-11-03097-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验