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首页> 外文期刊>Spectrochimica acta, Part A. Molecular and biomolecular spectroscopy >Simultaneous determination of α-asarone and β-asarone in Acorus tatarinowii using excitation-emission matrix fluorescence coupled with chemometrics methods
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Simultaneous determination of α-asarone and β-asarone in Acorus tatarinowii using excitation-emission matrix fluorescence coupled with chemometrics methods

机译:使用激发 - 发射矩阵荧光与化学计量方法同时同时测定 Acorus Tatarinowii Italic>中的α-砷酮

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AbstractA chemometrics-assisted excitation-emission matrix (EEM) fluorescence method was proposed for simultaneous determination of α-asarone and β-asarone inAcorus tatarinowii. Using the strategy of combining EEM data with chemometrics methods, the simultaneous determination of α-asarone and β-asarone in the complex Traditional Chinese medicine system was achieved successfully, even in the presence of unexpected interferents. The physical or chemical separation step was avoided due to the use of “mathematical separation”. Six second-order calibration methods were used including parallel factor analysis (PARAFAC), alternating trilinear decomposition (ATLD), alternating penalty trilinear decomposition (APTLD), self-weighted alternating trilinear decomposition (SWATLD), the unfolded partial least-squares (U-PLS) and multidimensional partial least-squares (N-PLS) with residual bilinearization (RBL). In addition, HPLC method was developed to further validate the presented strategy. Consequently, for the validation samples, the analytical results obtained by six second-order calibration methods were almost accurate. But for theAcorus tatarinowiisamples, the results indicated a slightly better predictive ability of N-PLS/RBL procedure over other methods.Graphical AbstractDisplay Omitted
机译:<![cdata [ 抽象 提出了化学计量辅助激发 - 发射矩阵(EEM)荧光法,用于同时测定α-亚辛和在 acorus tatarinowii 中的β-asarone。使用将EEM数据与化学计量方法组合的策略,同时测定复杂的中药系统中的α-砷和β-砷酮,即使在出现意外干涉的情况下也是成功的。由于使用“数学分离”,避免了物理或化学分离步骤。使用六阶二阶校准方法包括并行因子分析(PARAFAC),交替的三轴分解(ATLD),交替的惩罚三线性分解(APTLD),自加权交替的三线性分解(SWATLD),展开的部分最小二乘(U- PLS)和具有残留双绞病(RBL)的多维局部最小二乘(N-PL)。此外,开发了HPLC方法以进一步验证所提出的策略。因此,对于验证样本,通过六次二阶校准方法获得的分析结果几乎准确。但对于浅滩术语样品,结果表明了N-PLS / RBL过程的稍微更好的预测能力,而不是其他方法。 图形摘要 显示省略

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