NMR Spectral Quantitation by Principal-Component Analysis. II. Determination of Frequency and Phase Shifts

Truman R. Brown , Radka Stoyanova
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引用次数: 77

Abstract

This paper extends the use of principal-component analysis in spectral quantification to the estimation of frequency and phase shifts in a single resonant peak across a series of spectra. The estimated parameters can be used to correct the spectra accordingly, resulting in more accurate peak-area estimation. Further, the removal of the variations in phase and frequency caused by instrumental and experimental fluctuations makes it possible to determine more accurately the remaining variations, which bear biological significance. The procedure is demonstrated on simulated data, a 3D chemical-shift-imaging dataset acquired from a cylinder of inorganic phosphate (Pi), and a set of 73631P NMRin vivospectra taken from a kinetic study of rat muscle energetics. In all cases, the procedure rapidly and automatically identifies the frequency and phase shifts present in the individual spectra. In the kinetic study, the procedure is used twice, first to adjust the phase and frequency of a reference peak (phosphocreatine) and then to determine the individual frequencies of the Pipeak in each of the spectra which further can be used for estimation of pH changes during the experiment.

主成分分析的核磁共振光谱定量。二世。频率和相移的测定
本文将主成分分析在光谱量化中的应用扩展到在一系列光谱中估计单个谐振峰的频率和相移。估计的参数可以用来对光谱进行相应的校正,从而得到更准确的峰面积估计。此外,消除由仪器和实验波动引起的相位和频率变化,可以更准确地确定具有生物学意义的剩余变化。该过程在模拟数据、从无机磷酸盐(Pi)圆柱体获得的3D化学位移成像数据集和从大鼠肌肉能量动力学研究中获得的一组73631P NMRin活体光谱上进行了演示。在所有情况下,该程序快速和自动识别频率和相移存在于个别光谱。在动力学研究中,该过程使用了两次,首先调整参考峰(磷酸肌酸)的相位和频率,然后确定每个光谱中Pipeak的单个频率,这些频率进一步可用于估计实验期间的pH变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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