The specific object of the present investigation was to find a new algorithm, developed on a dataset of NMR spectra recorded on 20 mixtures of 10 different metabolites, also exerting signal overlap, able to correct the dilution errors that have been purposely and artificially introduced during sample preparation. The developed algorithm was also applied on a “natural” spectral dataset of tomatoes extracts, for which both NMR and HPLC techniques are applied in a non-hyphenated manner.

Normalization is a Necessary Step in NMR Data Processing: Finding the Right Scaling Factors

CAPOZZI, FRANCESCO;CIAMPA, ALESSANDRA;PICONE, GIANFRANCO;PLACUCCI, GIUSEPPE;
2011

Abstract

The specific object of the present investigation was to find a new algorithm, developed on a dataset of NMR spectra recorded on 20 mixtures of 10 different metabolites, also exerting signal overlap, able to correct the dilution errors that have been purposely and artificially introduced during sample preparation. The developed algorithm was also applied on a “natural” spectral dataset of tomatoes extracts, for which both NMR and HPLC techniques are applied in a non-hyphenated manner.
2011
Magnetic Resonance in Food Science: An Exciting Future
147
160
F. Capozzi; A. Ciampa; G. Picone; G. Placucci; F. Savorani
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/105166
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