Abstract

A simple method was developed for determining aloin in A. vera samples by UV–visible spectroscopy with the study of the results of measurements by principal component analysis (PCA), which showed the separation of samples in the PC space depending on their manufacturer. The spectra of model binary (aloin–malic acid) and ternary (aloin–malic acid–citric acid) systems and the spectra of A. vera samples were decomposed using the mutual information least dependent component analysis (MILCA) algorithm based on the minimization of numerical values of mutual information. A good correlation is observed for model mixtures between the predicted and actual concentrations of aloin in the samples under study (n = 3, r = 0.986). The spectra of the model systems, that is, A. vera samples with a known concentration of aloin, and the spectra of A. vera samples artificially contaminated relative to the initial samples were used as calibration systems for the decomposition of the spectra of A. vera samples by independent component analysis. It was demonstrated that UV spectroscopy in combination with corresponding chemometric data processing enables the quantitative determination of aloin in plant samples of A. vera.

中文翻译：

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基于化学计量学的紫外光谱法测定芦荟样品中的芦荟素。

摘要

开发了一种简单的方法，通过紫外-可见光谱法测定芦荟中的芦荟素，并通过主成分分析（PCA）对测量结果进行了研究，结果表明，样品空间在PC空间中的分离取决于制造商。模型二进制的光谱（芦荟苷苹果酸）和三元（芦荟苷苹果酸-柠檬酸）和系统的频谱A.芦荟样品使用的互信息至少依赖分量分析（MILCA）算法的基础上最小化分解互信息的数值。观察到的模型混合物中被研究样品中芦荟素的预测浓度与实际浓度之间具有良好的相关性（n = 3，r= 0.986）。模型系统的光谱，即具有已知浓度的芦荟样品，以及相对于初始样品被人为污染的拟南芥样品的光谱，被用作校准系统，用于分解光谱。维拉样品通过独立成分分析。结果表明，紫外线光谱结合相应的化学计量处理能够定量测定芦荟植物样品中的芦荟素。