[基于高光谱技术的Lycii Fructus中化学成分含量的快速检测技术]
Ling-Ling Liu1, You-You Wang2, Jian Yang2
1School of Pharmacy,Henan University of Chinese Medicine Zhengzhou 450046,China State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs,National Resource Center for Chinese Materia Medica,China Academy of Chinese Medical Sciences Beijing 100700,China.
这项研究开发了一种快速,非破坏性的高光谱成像模型,用于检测Lycium barbarum Fructus中的四个关键质量成分. 优化的模型准确地预测了黄,贝他因,维生素C和Lycium barbarum多糖含量.
科学领域:
- 农业科学 农业科学
- 分析化学是一种分析化学.
- 频谱学是一种光谱学.
更多相关视频
08:49Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
Published on: December 1, 2023
00:07Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
Published on: August 22, 2019
相关概念视频
High-Performance Liquid Chromatography: Types of Detectors
Mass Spectrometry: Complex Analysis
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
