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Updated: Apr 27, 2026
Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
Published on: July 31, 2021
Tracking metabolite dynamics in plants via indirect 13C chemical shift imaging with an interleaved variable density
Johannes Fuchs1, Gerd Melkus, Ljudmilla Borisjuk
1Department of Experimental Physics 5 (Biophysics), University of Würzburg, Würzburg, Germany, fuchsj@physik.uni-wuerzburg.de.
Objective:
Developing and evaluating an improved sampling pattern to track the dynamics of labeled substances in plants using indirect (13)C chemical shift imaging.
Materials And Methods:
An algorithm to split an acquisition weighted sampling pattern into several undersampled sub-images is presented. The sampling patterns are used in CSI moving phantom experiments as well as in in vivo POCE-CSI experiments on barley stem and grain. Reconstruction is performed traditionally or by compressed sensing.
Results:
The moving phantom experiments show that the sampling pattern can reduce motion artifacts at the cost of an increased overall noise. The in vivo experiments demonstrate the feasibility of extracting a time series from a single imaging experiment.
Conclusion:
The sampling pattern is suitable for tracking the uptake of label substances into plant material. The use of compressed sensing allows an increased spatial and temporal resolution.
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