In metabolomics comprehensive metabolic fingerprints are obtained and subsequently
analyzed to find the metabolites which differentiate groups of samples.
A new extraction method with a two-phase system of water and chloroform was evaluated
and validated, by varying different variables in the extraction protocol (e.g. the
extraction time and cycles of ultrasonic vibration). The effect of these variables
was tested on the yield of the secondary metabolite eupatorin, a major secondary metabolite
in plant material of Baccharis trimera.
For preprocessing the NMR data before submission to multivariate data processing,
a specific software has been developed for reference deconvolution. The signal from
an internal standard is used for the determination of the experimental peak shape.
Subsequently all signals in the spectrum are corrected for this peak shape, reducing
the peaks to single lines. A great reduction in data points is obtained and furthermore
small signals are preserved, even when they are not resolved from major peaks.