Suppression of spectral anomalies in SSFP-NMR signal by the Krylov Basis Diagonalization Method
Tiago Bueno Moraes1, Poliana Macedo Santos2, Claudio Jose Magon3
1Instituto de Física de São Carlos, Universidade de São Paulo, Av. Trabalhador São-carlense 400, São Carlos, SP 13566-590, Brazil; Embrapa Instrumentação, Rua XV de Novembro 1452, São Carlos, SP 13560-970, Brazil.
Abstract:
Krylov Basis Diagonalization Method (KBDM) is a numerical procedure used to fit time domain signals as a sum of exponentially damped sinusoids. In this work KBDM is used as an alternative spectral analysis tool, complimentary to Fourier transform. We report results obtained from (13)C Nuclear Magnetic Resonance (NMR) by Steady State Free Precession (SSFP) measurements in brucine, C23H26N2O4. Results lead to the conclusion that the KBDM can be successfully applied, mainly because it is not influenced by truncation or phase anomalies, as observed in the Fourier transform spectra.
Related Concept Videos
¹H NMR: Interpreting Distorted and Overlapping Signals
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
¹³C NMR: ¹H–¹³C Decoupling
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
NMR Spectrometers: Resolution and Error Correction
Double Resonance Techniques: Overview
Spin decoupling is usually achieved by...
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)
NMR Spectroscopy: Chemical Shift Overview
For instance, the proton...


