Repositório Institucional da Universidade de Aveiro > Departamento de Electrónica, Telecomunicações e Informática > DETI - Artigos >
 Singular spectrum analysis for an automated solvent artifact removal and baseline correction of 1D NMR spectra
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/5301

title: Singular spectrum analysis for an automated solvent artifact removal and baseline correction of 1D NMR spectra
authors: De Sanctis, S.
Malloni, W.M.
Kremer, W.
Tomé, A.M.
Lang, E.W.
Neidig, K.-P.
Kalbitzer, H.R.
Singular Spectrum Analysis
Solvent suppression
Baseline correction
Oversampled digitally filtered data
Group delay
Finite response filter
issue date: Jun-2011
publisher: Elsevier
abstract: NMR spectroscopy in biology and medicine is generally performed in aqueous solutions, thus in 1H NMR spectroscopy, the dominant signal often stems from the partly suppressed solvent and can be many orders of magnitude larger than the resonances of interest. Strong solvent signals lead to a disappearance of weak resonances of interest close to the solvent artifact and to base plane variations all over the spectrum. The AUREMOL-SSA/ALS approach for automated solvent artifact removal and baseline correction has been originally developed for multi-dimensional NMR spectroscopy. Here, we describe the necessary adaptations for an automated application to one-dimensional NMR spectra. Its core algorithm is still based on singular spectrum analysis (SSA) applied on time domain signals (FIDs) and it is still combined with an automated baseline correction (ALS) in the frequency domain. However, both steps (SSA and ALS) have been modified in order to achieve optimal results when dealing with one-dimensional spectra. The performance of the method has been tested on one-dimensional synthetic and experimental spectra including the back-calculated spectrum of HPr protein and an experimental spectrum of a human urine sample. The latter has been recorded with the typically used NOESY-type 1D pulse sequence including water pre-saturation. Furthermore, the fully automated AUREMOL-SSA/ALS procedure includes the managing of oversampled, digitally filtered and zero-filled data and the correction of the frequency domain phase shift caused by the group delay time shift from the digital finite response filtering.
URI: http://hdl.handle.net/10773/5301
ISSN: 1090-7807
publisher version/DOI: http://dx.doi.org/10.1016/j.jmr.2011.03.001
source: Journal of Magnetic Resonance
appears in collectionsDETI - Artigos

files in this item

file description sizeformat
YJMRE4647.pdf832.78 kBAdobe PDFview/open
Restrict Access. You can Request a copy!

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! RCAAP OpenAIRE DeGóis
ria-repositorio@ua.pt - Copyright ©   Universidade de Aveiro - RIA Statistics - Powered by MIT's DSpace software, Version 1.6.2