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首页> 外文期刊>Applied Spectroscopy: Society for Applied Spectroscopy >Design of a New Concentration Series for the Orthogonal Sample Design Approach and Estimation of the Number of Reactions in Chemical Systems
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Design of a New Concentration Series for the Orthogonal Sample Design Approach and Estimation of the Number of Reactions in Chemical Systems

机译:正交样品设计方法的新浓度系列设计和化学系统中反应数的估算

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摘要

A new concentration series is proposed for the construction of a two-dimensional (2D) synchronous spectrum for orthogonal sample design analysis to probe intermolecular interaction between solutes dissolved in the same solutions. The obtained 20 synchronous spectrum possesses the following two properties: (1) cross peaks in the 20 synchronous spectra can be used to reflect intermolecular interaction reliably, since interference portions that have nothing to do with intermolecular interaction are completely removed, and (2) the two-dimensional synchronous spectrum produced can effectively avoid accidental collinearity. Hence, the correct number of nonzero eigenvalues can be obtained so that the number of chemical reactions can be estimated. In a real chemical system, noise present in one-dimensional spectra may also produce nonzero eigenvalues. To get the correct number of chemical reactions, we classified nonzero eigenvalues into significant nonzero eigenvalues and insignificant nonzero eigenvalues. Significant nonzero eigenvalues can be identified by inspecting the pattern of the corresponding eigenvector with help of the Durbin-Watson statistic. As a result, the correct number of chemical reactions can be obtained from significant nonzero eigenvalues. This approach provides a solid basis to obtain insight into subtle spectral variations caused by intermolecular interaction.
机译:提出了一个新的浓度系列,用于构建二维(2D)同步光谱,用于正交样品设计分析,以探测溶解在相同溶液中的溶质之间的分子间相互作用。所获得的20个同步光谱具有以下两个特性:(1)20个同步光谱中的交叉峰可用于可靠地反映分子间相互作用,因为与分子间相互作用无关的干扰部分已被完全消除,并且(2)产生的二维同步频谱可以有效避免意外的共线性。因此,可以获得正确数量的非零特征值,从而可以估计化学反应的数量。在实际的化学系统中,一维光谱中存在的噪声也可能会产生非零特征值。为了获得正确的化学反应数,我们将非零特征值分为显着的非零特征值和无关紧要的非零特征值。可以通过借助Durbin-Watson统计信息检查相应特征向量的模式来识别重要的非零特征值。结果,可以从重要的非零特征值中获得正确数量的化学反应。该方法为深入了解分子间相互作用引起的细微光谱变化提供了坚实的基础。

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