Multi-objective optimization for an automated and simultaneous phase and baseline correction of NMR spectral data.
Spectral data preprocessing is an integral and sometimes inevitable part of chemometric analyses. For Nuclear Magnetic Resonance (NMR) spectra a possible first preprocessing step is a phase correction which is applied to the Fourier transformed free induction decay (FID) signal. This preprocessing step can be followed by a separate baseline correction step. Especially if series of high-resolution spectra are considered, then automated and computationally fast preprocessing routines are desirable. A new method is suggested that applies the phase and the baseline corrections simultaneously in an automated form without manual input, which distinguishes this work from other approaches. The underlying multi-objective optimization or Pareto optimization provides improved results compared to consecutively applied correction steps. The optimization process uses an objective function which applies strong penalty constraints and weaker regularization conditions. The new method includes an approach for the detection of zero baseline regions. The baseline correction uses a modified Whittaker smoother. The functionality of the new method is demonstrated for experimental NMR spectra. The results are verified against gravimetric data. The method is compared to alternative preprocessing tools. Additionally, the simultaneous correction method is compared to a consecutive application of the two correction steps.
['Sawall|Mathias|M|', 'von Harbou|Erik|E|', 'Moog|Annekathrin|A|', 'Behrens|Richard|R|', 'Schröder|Henning|H|', 'Simoneau|Joël|J|', 'Steimers|Ellen|E|', 'Neymeyr|Klaus|K|']
Whittaker smoother Automated baseline correction Automated phase correction Multi-objective minimization NMR data preprocessing