2005
DOI: 10.1016/j.jpba.2004.09.060
|View full text |Cite
|
Sign up to set email alerts
|

Progress toward automated metabolic profiling of human serum: Comparison of CPMG and gradient-filtered NMR analytical methods

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
16
0

Year Published

2008
2008
2022
2022

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 32 publications
(16 citation statements)
references
References 31 publications
0
16
0
Order By: Relevance
“…The spectra were obtained using a CPMGPR1D pulse sequence (Bruker Biospin, Germany), which was used to attenuate the broad protein signal in the plasma. This sequence is a modification of the Carr-Purcell-Meiboom-Gill pulse sequence (CPMGpulse, Bruker Biospin Germany) that suppresses the residual water signal (Lucas et al 2005).…”
Section: H Nmr Spectroscopymentioning
confidence: 99%
“…The spectra were obtained using a CPMGPR1D pulse sequence (Bruker Biospin, Germany), which was used to attenuate the broad protein signal in the plasma. This sequence is a modification of the Carr-Purcell-Meiboom-Gill pulse sequence (CPMGpulse, Bruker Biospin Germany) that suppresses the residual water signal (Lucas et al 2005).…”
Section: H Nmr Spectroscopymentioning
confidence: 99%
“…To probe interaction mechanisms and to study the phases separately, spectral editing methods are extremely useful. These procedures involve exploiting differences in properties such as relaxation and diffusion to separate gel-like and dissolved molecules [25][26][27]. For instance, the inverse diffusion editing experiment (iDE) [27] is based on the application of single PGSE (pulsed gradient spin echo) that allows the separation of different motional regimes present in complex mixtures.…”
Section: Introductionmentioning
confidence: 99%
“…It uses analytic technologies, such as capillary electrophoresis [7], Fourier-transform infrared spectroscopy [8], electrochemistry [9], mass spectrometry (MS) [10][11][12] and nuclear magnetic resonance (NMR) [13][14][15], to identify and quantify small metabolites in biofluids or tissues, and it uses pattern-recognition approaches and bioinformatics to relate this metabolic information to pathophysiological processes [16,17]. Among them, several aspects of NMR spectroscopy have made it a useful tool in metabonomics for 20 years: it is non-destructive, which allows samples to remain in physiological conditions; it provides information about dynamic processes, it permits unbiased metabolite detection and it is quantitative and reproducible [18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%