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IR and UV–Vis Spectroscopy of Aldehydes and Ketones

Infrared spectroscopy, also known as vibrational spectroscopy, is mainly used to determine the types of bonds and functional groups in molecules. In aldehydes and ketones, the carbonyl (C=O) bond shows an absorption around 1710 cm-1. The C=O bond vibration of an aldehyde occurs at lower frequencies than that of a ketone. In addition to the C=O absorption in an aldehyde, the aldehydic C–H bond also gives two peaks in the 2700–2800 cm-1 range. This absorption, coupled with the C=O stretching, is...
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Recently, the development of olefin metathesis polymerization advanced the field of polymer synthesis. Simply put, the reorganization of substituents on their double bonds between two olefins in the presence of a catalyst is known as the olefin metathesis reaction. The use of metathesis reaction for polymer synthesis is called olefin metathesis polymerization.
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使用非侵入性光谱技术和机器学习预测油脂的特性.

Ingrid A Moraes1, Sylvio Barbon Junior2, Javier E L Villa3

  • 1Department of Food Engineering and Technology, School of Food Engineering, University of Campinas (UNICAMP), Campinas, Brazil.

Food research international (Ottawa, Ont.)
|March 14, 2025
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概括

本研究提出了一种非侵入性光谱方法来分类油脂凝和量化其成分. 这种技术可以准确地识别油剂及其度,确保食品添加剂的质量控制.

关键词:
可食用的食用油.油脂的流失和自由脂肪酸含量.这就是PLSR PLSR.随机的森林 随机的森林结构化 结构化

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科学领域:

  • 食品科学与技术 食品科学与技术
  • 分析化学 分析化学
  • 频谱学是一种光谱学.

背景情况:

  • 油是食品添加剂,需要获得监管部门的批准,因此根据特性,成本和原产地进行分类对于消费者选择至关重要.
  • 精确量化油凝剂度,自由脂肪酸含量和油损耗对于质量控制和监管合规至关重要.

研究的目的:

  • 开发和验证一种非侵入性,环保,快速的方法来分类基于不同油的油.
  • 使用光谱技术量化油凝剂度,自由脂肪酸含量和油损耗.
  • 评估主要组件分析 (PCA),随机森林 (RF) 和部分最小平方回归 (PLSR) 模型对油凝分析的性能.

主要方法:

  • 使用色度计,拉曼光谱仪和两个近红外光谱仪 (NIR) 来获取光谱数据.
  • 使用日油和大豆油制备的油凝,含有不同度 (1-10%) 的蜜蜂,糖醇单酸和乙烯基纤维素.
  • 应用光谱预处理,PCA,射频分类和PLSR回归用于数据分析和模型开发.

主要成果:

  • 随机森林模型在分类油类型和油凝剂的存在方面达到100%的准确性,在预测油凝剂度方面达到94%的准确性.
  • 部分最小平方回归模型在预测自由脂肪酸含量和油脂损失方面表现出很高的性能,RPD> 3和RER> 10.
  • 光谱仪器,特别是色度计和NIR,在监测添加剂和预测关键质量参数方面被证明是有效的.

结论:

  • 谱学方法提供了一个有希望的,非破坏性的方法来控制油的质量.
  • 开发的方法允许准确的分类和量化,支持监管合规性和消费者选择.
  • 测色仪和NIR光谱是确保oleogel配方质量和一致性的宝贵工具.