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三线性分解算法研究多组分的天麻粉荧光光谱

Study on fluorescence spectra of multi-component coexisting Gastrodia elata powder using trilinear decomposition algorithm

  • 摘要: 为了解决化学提纯方法的片面性和局限性,采用三线性分解算法、平方误差和法、折半信度法与同步荧光光谱相结合,对多组分共存的天麻粉荧光光谱进行了理论分析和实验验证,并确定了天麻粉溶液荧光的算法模型具有3种组分。结果表明,第1组分荧光特征峰激发波长λex在275 nm ~280 nm,发射波长λem在305 nm~310 nm,该组分对应的荧光物质应该是天麻中含量较高的天麻素;第2组分荧光特征峰激发波长λex在305 nm~310 nm,发射波长λem在400 nm~405 nm;第3组分荧光特征峰激发波长λex在355 nm~360 nm,发射波长λem在440 nm~445 nm;采用数学分离三线性分解算法可以替代繁杂的化学分离,同时具有去除背景噪声干扰、简化高维光谱分析等优点,且从整体视角、全局特征表达了多组分共存物质的荧光特性。该研究对多组分物质的光谱分析提供了参考。

     

    Abstract: In order to solve the one-sidedness and limitations of chemical purification methods, the fluorescence spectrum of Gastrodia elata powder with multiple components was theoretically analyzed and experimentally verified by combining trilinear decomposition algorithm, sum of squared error method, split-half method, and synchronous fluorescence spectroscopy. And it is demonstrated that the algorithm model for fluorescence of Gastrodia elata powder solution has three components. The results show that the first component has a characteristic fluorescence peak at excitation wavelengths of λex=275 nm~280 nm, emission wavelengths of λem=305 nm~310 nm, and the fluorescent material corresponding to this component should be gastrodin, which has a high content in Gastrodia elata; the second component has a characteristic fluorescence peak at excitation wavelengths of λex=305 nm~310 nm, emission wavelengths of λem=400 nm~405 nm; and the third component has a fluorescence peak at excitation wavelengths of λex=355 nm~360 nm, emission wavelengths of λem=440 nm~445 nm; the complicated chemical separation can be replaced by the trilinear decomposition algorithm of mathematical separation, furthermore, it has the advantages of removing background noise interference, simplifying high-dimensional spectral analysis, and expressing the fluorescence characteristics of multi-component coexisting substances from an overall perspective and global features. This research provides a reference for the spectral analysis of multi-component substances.

     

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