Department of Chemistry, Saratov State University, Astrakhanskaya str. 83, Saratov 410012, Russia.
Anal Bioanal Chem. 2010 Jun;397(3):1297-306. doi: 10.1007/s00216-010-3623-x. Epub 2010 Mar 25.
An advanced independent component analysis algorithm (MILCA) is applied for simultaneous chemometric determination of fat- and water-soluble vitamins in complex mixtures. The analysis is based on the decomposition of spectra of multicomponent mixtures in the UV region. The key features of the proposed method are simplicity, accuracy, and reliability. Comparisons between the new algorithm and other established methods (MCR-ALS, SIMPLISMA, other ICA techniques) were made. Our results indicate that in most cases, MILCA is comparable or even outperforms other chemometrics methods taken for comparisons. The influence of different factors (abundance of components, noise, step of spectral scan, and scan speed) on decomposition performance has been investigated. The optimal conditions for spectroscopic registration have been identified. The proposed method was used for analysis of model mixtures and real objects (multivitamin drugs, food additives, and energy drinks). The resolved concentrations match well with the declared amounts and the results of reference methods.
一种先进的独立成分分析算法（MILCA）被应用于复杂混合物中脂溶性和水溶性维生素的同时化学计量测定。该分析基于多组分混合物在紫外区光谱的分解。所提出方法的关键特点是简单、准确和可靠。新算法与其他已建立的方法（MCR-ALS、SIMPLISMA、其他 ICA 技术）进行了比较。我们的结果表明，在大多数情况下，MILCA 与其他比较的化学计量学方法相当，甚至表现更好。研究了不同因素（成分丰度、噪声、光谱扫描步长和扫描速度）对分解性能的影响。确定了光谱记录的最佳条件。该方法用于模型混合物和实际物体（多种维生素药物、食品添加剂和能量饮料）的分析。解析浓度与声明量和参考方法的结果非常吻合。
