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通过快速采集 TOCSY 实验的多元曲线分辨来分解混合物的光谱。

Decomposition of mixtures' spectra by multivariate curve resolution of rapidly acquired TOCSY experiments.

机构信息

Department of Chemistry, Universidad Nacional de Colombia, Bogotá DC, Colombia.

出版信息

Magn Reson Chem. 2010 Oct;48(10):771-6. doi: 10.1002/mrc.2654.

Abstract

A method is presented that allows for retrieving 1D spectra of the individual components of a mixture from a sparsely acquired 2D-TOCSY spectrum. The decomposition of the 2D-TOCSY data into pure 1D traces is achieved using a non-negative matrix factorization algorithm, also known as multivariate curve resolution analysis. Here, we show that the algorithm can be applied to data processed in the direct dimension only. Thus, our method can be applied to non-linearly sampled experiments or data acquired with few indirect points. An example is shown for the spectra of a mixture of six amino acids, acquired in 15 min.

摘要

本文提出了一种从稀疏采集的二维 TOCSY 谱中获取混合物各组分一维谱的方法。通过使用非负矩阵分解算法(也称为多元曲线分辨分析)将 2D-TOCSY 数据分解为纯一维迹线。这里,我们表明该算法可以应用于仅在直接维度上处理的数据。因此,我们的方法可应用于非线采样实验或仅采集少量间接点的数据。以六氨基酸混合物的谱为例,实验在 15 分钟内完成。

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