NMR spectral quantitation by principal component analysis
Version of Record online: 12 JUN 2001
Copyright © 2001 John Wiley & Sons, Ltd.
NMR in Biomedicine
Special Issue: NMR Spectroscopy Quantitation
Volume 14, Issue 4, pages 271–277, June 2001
How to Cite
Stoyanova, R. and Brown, T. R. (2001), NMR spectral quantitation by principal component analysis. NMR Biomed., 14: 271–277. doi: 10.1002/nbm.700
- Issue online: 12 JUN 2001
- Version of Record online: 12 JUN 2001
- Manuscript Received: 2 JAN 2001
- Manuscript Accepted: 2 JAN 2001
- NIH. Grant Number: CA41078, CA62556
- peak parameters;
- spectral estimation;
- line shape correction
The use of principal component analysis (PCA) for simultaneous spectral quantitation of a single resonant peak across a series of spectra has gained popularity among the NMR community. The approach is fast, requires no assumptions regarding the peak lineshape and provides quantitation even for peaks with very low signal-to-noise ratio. PCA produces estimates of all peak parameters: area, frequency, phase and linewidth. If desired, these estimates can be used to correct the original data so that the peak in all spectra has the same lineshape. This ability makes PCA useful not only for direct peak quantitation, but also for processing spectral data prior to application of pattern recognition/classification techniques. This article briefly reviews the theoretical basis of PCA for spectral quantitation, addresses issues of data processing prior to PCA, describes suitable and unsuitable datasets for PCA applications and summarizes the developments and the limitations of the method. Copyright © 2001 John Wiley & Sons, Ltd.
principal component analysis.