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使用UV-Vis-NIR光谱学与特征选择方法相结合,快速和低成本量化Camellia油中的伪造含量

Qiang Liu1, Zhongliang Gong1, Dapeng Li1

  • 1School of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha 410004, China.

Molecules (Basel, Switzerland)
|August 26, 2023
PubMed
概括

低成本的紫外-可见-近红外 (UV-Vis-NIR) 光谱仪可以有效地检测卡梅利亚油中的改. 这种方法使用先进的光谱分析和机器学习模型准确量化大豆和菜油等常见杂物.

关键词:
卡梅利亚油的使用方法紫外-对-红外光谱学吸收性是一种吸收性.伪造内容预测 伪造内容预测化学测量方法 化学测量方法相关性分析的相关性分析.特性波长选择的选择.

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