Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Optimized bucketing for NMR spectra: Three case studies
Author: Sousa, SAA
Magalhaes, A
Ferreira, MMC
Abstract: The use of nuclear magnetic resonance (NMR) data coupled to chemometric methods has become increasingly popular in the last decade. However, a serious drawback of these approaches is the common misalignments of H-1 NMR spectra. To overcome this problem, bucketing or binning techniques have been used. In this work, an algorithm is proposed to perform an optimized bucketing that yields better results than the conventional bucketing implemented in some commercial software. The improvement proposed here for optimized bucketing deals with the bucket boundaries, which are defined by local minima from average NMR spectrum over all samples. Applicability of the new algorithm, named OBA (optimized bucketing algorithm), is demonstrated for real data sets in comparison to other alignment approaches and conventional bucketing. (C) 2013 Elsevier B.V. All rights reserved.
Subject: OBA
Spectral alignment
Brain tumor
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/j.chemolab.2013.01.006
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.