2003
DOI: 10.1016/s0031-9422(02)00705-7
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Assessment of 1H NMR spectroscopy and multivariate analysis as a technique for metabolite fingerprinting of Arabidopsis thaliana

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Cited by 232 publications
(169 citation statements)
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“…For example, FT-IR [22] and NMR [37,61] generate global chemical fingerprints with little need for specialised sample preparation [23,24]. However, these methods are less sensitive than FIE-MS [3] and, generally, require a further level of directed analysis to link any differences in wavenumber (FT-IR) or chemical shifts (NMR) to specific chemistry [23].…”
Section: Selection Of Metabolomics Approaches For Characterising Dietmentioning
confidence: 99%
“…For example, FT-IR [22] and NMR [37,61] generate global chemical fingerprints with little need for specialised sample preparation [23,24]. However, these methods are less sensitive than FIE-MS [3] and, generally, require a further level of directed analysis to link any differences in wavenumber (FT-IR) or chemical shifts (NMR) to specific chemistry [23].…”
Section: Selection Of Metabolomics Approaches For Characterising Dietmentioning
confidence: 99%
“…As shown below, when applying 1 H high-resolution magic angle spinning NMR spectroscopy ( 1 H HRMAS-NMR), we provide complex metabolic phenotypes (6) or metabotypes (8) suitable for discriminating between C. elegans oxidative stress mutants, which cannot otherwise be distinguished phenotypically (14). In this study, we develop, validate, and apply a strategy using 1 H HRMAS-NMR spectroscopy of whole-model organisms, in this case C. elegans, to reveal the latent phenotypes associated with silent mutations (11) in Metazoans, an approach already developed in yeast and plants using mass spectrometry and liquid-state NMR (15,16). In particular, we investigate subtle metabolic disruptions induced by mutations of oxidative stress enzymes.…”
mentioning
confidence: 99%
“…Combined [ 1 H]-NMR and direct infusion electrospray ionization MS (DI-ESI-MS) is a technique that we have developed for rapid metabolite fingerprinting of plant extracts (8,9). When applied to Arabidopsis tissue, the data obtained enable rapid assessment of concentrations and fluctuations of both primary and secondary metabolites.…”
Section: Resultsmentioning
confidence: 99%