Manfred Spraul has completed his Ph.D. at the age of 28 years from Karlsruhe technical University in Germany and then joined Bruker NMR devision as application chemi st for NMR and liquid chromatography. He took over the NMR application group at Bruker Germany in 1987 and now is director for Applied NMR Business and Method development as well as Hyphenation. Currently his main subjects are NMR based food quality control with push butto n instrumentation as well as fully automated NMR based biofluid and tissue analysis for pharmaceutical, clinical and phenotyping use.
NMR over many years was used for structure elucidation of pure compounds, however in the last decade NMR established itself as a major tool for metabolomics analysis based on its unmatched reproducibility and transferability properties. This allows to visualize simultaneous smallest changes of concentration of many compounds in mixtures like biofluids.These changes can be observed in untargeted and targeted mode with one experiment. The dynamic range under full quantitative conditions reaches 2*105 with modern digit al NMR spectrometers . C alibration for quantification has to be done once for all compounds in the mixture. Sensitivity over the years could be enhanced substantially allowing detection of concentrations of 1mmol/ molcreatinine in urines. Standard operation procedures have been developed and distributed in the Metabolomic s NMR community, This secures exchangeability of data created in different NMR centers. In untargeted screening any deviation from a normal model can be detected, if it is visible by NMR. This approach is sh own for urine based newborn screening for inborn errors of metabolism. It is also shown, how NMR delivers quantitative information for a multitude of compounds, allowing to rapidly set-up precise concentration distribution curves. Another important aspect is the influence of meta-parameters to the NMR spectrum, spanning from parameters describing the baby like head circumference to parameters of the mother like the body mass increase during pregnancy. In adults the same NMR dependencies from various meta-parameters can be observed. Moving away from analysis of single samples per person into a longitudinal study allows to generate basically invariant metabolic profiles . These profiles can be used for person recognition, but more importantly allow to detect early deviations from normality and to observe the consequences of personalized drug treatment. In the end an outlook is given, how this technology can be transferred into other metabolomics applications like food and drug quality and safety control. Examples for all applications mentioned are given and explained.