使用多变量曲线分辨率来处理一阶光谱数据的危险性. 一个旋转模两可的分析
1Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531 (2000), Rosario, Argentina; Instituto de Química Rosario (CONICET-UNR), 27 de Febrero 210 Bis (2000), Rosario, Argentina.
在多变量曲线分辨率交替最小正方形 (MCR-ALS) 中的旋转模糊性可能会降低光谱分析的可靠性. 分析MCR-ALS结果的旋转模糊性对于准确的度和光谱解释至关重要.
科学领域:
- 化学测量 化学测量 化学测量
- 频谱学是一种光谱学.
- 数据分析 数据分析
背景情况:
- 多变量曲线分辨率交替最小平方 (MCR-ALS) 越来越多地用于光谱数据处理.
- 然而,旋转模糊性对MCR-ALS解决方案的影响仍未得到充分研究.
研究的目的:
- 分析MCR-ALS处理的光谱数据中的旋转模两可.
- 根据光谱重叠和未校准元件的存在,评估MCR-ALS结果的可靠性.
主要方法:
- 使用MCR-ALS.处理的实验光谱数据 (NIR,UV-Vis,光)
- 分析了使用通道智能N-BANDS方法的旋转模两可.
- 结果与随机初始化的MCR-ALS模型进行了比较.
主要成果:
- 低光谱重叠产生了独特的分析剂度配置文件.
- 高频谱重叠导致度概况存在显著的模糊性,降低了可靠性.
- 未校准的组件加剧了MCR-ALS结果的模糊性.
结论:
- 在多变量校准中,旋转模糊性分析对于MCR-ALS至关重要.
- 这种分析提高了检索的配置文件,度估计和光谱解释的可靠性.
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