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Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
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The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
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应用基于二维映射的可视化技术:以营养价值为基础的食品分组.

Ryota Wakayama1,2, Satoshi Takasugi1, Keiko Honda3

  • 1Meiji Co., Ltd., 2-2-1 Kyobashi, Chuo-ku 104-9306, Tokyo, Japan.

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概括

这项研究可视化了食品营养数据,揭示了像茶和咖啡这样的饮料在蔬菜附近聚集. 这种以营养素为基础的绘图为食品分类提供了一种新的方式.

关键词:
亚洲 亚洲 亚洲 亚洲日本 营养 营养日本的饮食 日本的饮食.食品分类食品的分类.食品质量 食品质量 食品质量信息科学 信息科学 信息科学机器学习是机器学习.加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品加工食品个人资料 个人资料t 分布的随机邻居嵌入.

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科学领域:

  • 营养科学 营养科学
  • 数据可视化 数据可视化
  • 食品科学 食品科学 食品科学

背景情况:

  • 全球公共卫生依赖于基于食物的饮食指南.
  • 目前的指导方针使用多种,非标准化的食品分组方法.
  • 需要制定标准化的国际食品分类.

研究的目的:

  • 开发一种基于营养成分组成的新方法来对食品进行分类.
  • 使用先进的绘图技术可视化高维食品营养数据.
  • 探索基于营养价值的食品分类系统的潜力.

主要方法:

  • 在日本使用食品成分标准表.
  • 在二维数据映射中使用t-分布式随机邻居嵌入 (t-SNE).
  • 经过验证的集群与k-最近邻居分析.

主要成果:

  • 大多数食物形成了与传统食物组一致的独特集群.
  • 饮料表现出分散的分布,没有形成大,凝聚力的集群.
  • 特定的饮料如绿茶,黑茶和咖啡在蔬菜集群附近绘制地图;可可在豆类附近绘制地图.
  • 证明了天然来源的饮料可以根据来源进行分类.

结论:

  • 营养成分可视化提供了对食品价值的全面了解.
  • 这种方法可以导致创新的,基于营养价值的食品分类.
  • 根据营养成分概况绘制饮料地图,可以了解饮食背景.