多变量曲线分辨率-交替最小正方形和二次优势在一级校准. 一个对三元分析系统的系统性表征
Fabricio A Chiappini1, Licarion Pinto2, Mirta R Alcaraz1
1Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, Santa Fe, S3000ZAA), Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA, (C1425FQB), Argentina.
Analytica chimica acta
|September 12, 2024
概括
多变量曲线分辨率交替最小正方形 (MCR-ALS) 有效地解决复杂样本分析中的旋转模两可. 了解这种模两可是实现分析方法中二次优势的关键.
科学领域:
- 分析化学 分析化学
- 化学测量 化学测量 化学测量
- 谱光数据分析数据分析
背景情况:
- 专注于多变量曲线分辨率-交替最小平方 (MCR-ALS) 的第一阶段和非双线的第二阶段数据.
- 由于旋转模糊性,非双线数据存在挑战,即使在MCR-ALS.中存在化学约束,也存在挑战.
研究的目的:
- 研究选择性模式在实现二次优势中的作用.
- 分析旋转模糊性对MCR-ALS性能的影响.
主要方法:
- 模拟和实验数据集的分析.
- 使用可行的解决方案领域进行理论考虑.
- 使用MCR-ALS校准的方法.
主要成果:
- 确定了关于选择性模式和二次优势的关键结论.
- 理论计算支持了MCR-ALS.观察到的预测能力.
- 证明了旋转模糊性对数据分析的影响.
结论:
- 了解旋转模糊性对于开发复杂样品分析协议至关重要.
- 实现二级优势需要仔细考虑数据特征.
- 当模糊性得到管理时,MCR-ALS显示出分析复杂数据集的前景.
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