
Proceedings Paper
MATCAKE: a flexible toolbox for 2D NMR spectra integration by CAKE algorithmFormat | Member Price | Non-Member Price |
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Paper Abstract
MatCAKE (www.cake.unisa.it) is a toolbox for integrating 2D NMR spectra by the CAKE (Monte CArlo peaK
volume Estimation)1 algorithm within the Matlab environment (www.mathworks.com). Quantitative information
from multidimensional NMR experiments can be obtained by peak volume integration. The standard
procedure (selection of a region around the chosen peak and addition of all values) is often biased by poor peak
definition because of peak overlap. CAKE is a simple algorithm designed for volume integration of (partially)
overlapping peaks. Assuming the axial symmetry of two-dimensional NMR peaks, as it occurs in NOESY and
TOCSY when Lorentz-Gauss transformation of the signals is carried out, CAKE estimates the peak volume
by multiplying a volume fraction by a factor R. It represents a proportionality ratio between the total and the
fractional volume, which is identified as a slice in an exposed region of the overlapping peaks. The volume
fraction is obtained via Monte Carlo Hit-or-Miss technique, which proved to be the most efficient because of the
small region and the limited number of points within the selected area. Due to the large number of software
packages available for processing nuclear magnetic resonance data, MatCAKE is designed just for implementing
the new CAKE algorithm. In MatCAKe, in fact, only already processed bidimensional spectra are imported
and, at the moment, the only volume integration (by CAKE and by the most simple standard procedure) are
allowed. MatCAKE is a free software at disposal for the scientific community and can be obtained on line at the
web address cake.unisa.it.
Paper Details
Date Published: 18 April 2011
PDF: 10 pages
Proc. SPIE 7984, Health Monitoring of Structural and Biological Systems 2011, 798432 (18 April 2011); doi: 10.1117/12.879426
Published in SPIE Proceedings Vol. 7984:
Health Monitoring of Structural and Biological Systems 2011
Tribikram Kundu, Editor(s)
PDF: 10 pages
Proc. SPIE 7984, Health Monitoring of Structural and Biological Systems 2011, 798432 (18 April 2011); doi: 10.1117/12.879426
Show Author Affiliations
Rocco Romano, Univ. degli Studi di Salerno (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Fausto Acernese, Univ. degli Studi di Salerno (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Silvia Vilasi, Univ. degli Studi di Salerno (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Fausto Acernese, Univ. degli Studi di Salerno (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Silvia Vilasi, Univ. degli Studi di Salerno (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Debora Paris, Istituto Nazionale di Ottica Applicata (Italy)
Andrea Motta, Istituto Nazionale di Ottica Applicata (Italy)
Fabrizio Barone, Univ. degli Studi di Salerno (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Andrea Motta, Istituto Nazionale di Ottica Applicata (Italy)
Fabrizio Barone, Univ. degli Studi di Salerno (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Published in SPIE Proceedings Vol. 7984:
Health Monitoring of Structural and Biological Systems 2011
Tribikram Kundu, Editor(s)
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