根据Panax notoginseng的定量分析方法,基于热扰动的太赫兹二维相关性光谱学
Applied optics
|September 14, 2023
概括
这项研究引入了一种新的方法,用于Panax notoginseng (P. notoginseng) 使用太赫兹光谱和二维相关性光谱 (2DCOS) 的定量分析. 2DCOS-CARS-SVR模型为P. notoginseng含量确定提供了更高的准确性.
科学领域:
- 频谱学是一种光谱学.
- 化学测量 化学测量 化学测量
- 分析化学 分析化学
背景情况:
- 准确量化Panaxnotoginseng (P.notoginseng) 对于其药物应用至关重要.
- 传统方法可能缺乏复杂样本分析所需的灵敏度和特异性.
- 太赫兹时域光谱 (THz-TDS) 提供非破坏性分析,但需要对复杂混合物进行高级数据处理.
研究的目的:
- 开发一种用于P.notoginseng的新型定量分析方法,使用太赫兹时域光谱 (THz-TDS) 与二维相关性光谱 (2DCOS) 结合.
- 通过温度扰动和2DCOS分析,提高与P.notoginseng含量相关的光谱差异的清晰度.
- 建立一个非常准确的定量模型来确定P. notoginseng的含量.
主要方法:
- 太赫兹时域光谱学 (THz-TDS) 用于光谱采集.
- 应用二维相关谱学 (2DCOS) 对温度扰乱的光谱,以揭示微妙的光谱变化.
- 竞争性适应性重权取样 (CARS) 用于特征选择.
- 支持向量回归机 (SVR) 用于定量建模,从而产生了2DCOS-CARS-SVR方法.
主要成果:
- 2DCOS同步光谱清楚地区分了P.notoginseng含量的差异.
- 2DCOS-CARS-SVR模型实现了0.9915%的预测集相关系数.
- 预测集的根平均平方误差为0.8160%,显示出高准确度.
- 开发的方法表现优于传统的基于主要成分分析 (PCA) 的方法 (PCA-PLSR和PCA-SVR).
结论:
- THz-TDS和2DCOS的组合为分析P.notoginseng.提供了一个强大的方法.
- 与传统的化学测量方法相比,2DCOS-CARS-SVR模型为P. notoginseng的定量分析提供了更高的准确性和可靠性.
- 这种技术对P. notoginseng产品的质量控制和认证具有前景.
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