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Reference Deconvolution, Phase Correlation, and Line Listing of NMR Spectra by the 1D Filter Diagonalization Method

机译:一维滤波器对角化方法的NMR光谱的参考去卷积,相位相关和线列表

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摘要

We describe a new way to attack the problem of identifying and quantifying the number of NMR transitions in a given NMR spectrum. The goal is to reduce the spectrum to a tabular line list of peak positions, widths, amplitudes, and phases, and to have this line list be of high fidelity.In this context "high fidelity" means that each true NMR transition is represented by a single entry, with no spurious entries and no missed peaks. A high fidelity line list allows the measurement of chemical shifts and coupling constants with good accuracy and precision and is the ultimate in data compression. There are two parts to the problem. The first is to overcome common imperfections: the non-Lorentzian lineshapes that can arise whenever the magnetic field inhomogeneity is less than perfect, and nonzero time delays that cause frequency-dependent phase errors. The second is to fit the spectral features to a model of Lorentzian lines. We use the recently developed filter diagonalization method (FDM) to accomplish the reference deconvolution, the phase correction, and the fitting, and show good progress toward the goal of obtaining a high fidelity line list.
机译:我们描述了一种新方法,可以解决在给定NMR光谱中识别和量化NMR跃迁数量的问题。目的是将频谱缩小为峰位置,宽度,幅度和相位的表格线列表,并使该线列表具有高保真度。在这种情况下,“高保真度”表示每个真实的NMR跃迁均由一个条目,没有虚假条目,没有漏峰。高保真度的线列表允许以良好的精度和精确度测量化学位移和耦合常数,并且是数据压缩的终极方法。这个问题有两个部分。首先是要克服常见的缺陷:只要磁场不均匀性不完美,就会出现非洛伦兹线形;非零时延会引起频率相关的相位误差。第二个是将光谱特征拟合到洛伦兹线模型。我们使用最新开发的滤波器对角化方法(FDM)来完成参考反卷积,相位校正和拟合,并朝着获得高保真度线列表的目标显示出良好的进展。

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