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Journal of Analytical Methods in Chemistry - Volume 2016 2016, Article ID 8564584, 11 pages -

Research Article

Grupo de Investigación Ciencias, Educación y Tecnología CETIC, Programa de Química, Facultad de Ciencias Básicas, Universidad del Atlántico, km 7 Antigua Vía Puerto Colombia, Barranquilla, Atlántico, Colombia

Chemistry Department, Universidad del Valle, A.A. 25360, Cali, Colombia

Institut de Police Scientifique, École des Sciences Criminelles, Université de Lausanne, 1015 Lausanne, Switzerland

Received 1 April 2016; Accepted 15 June 2016

Academic Editor: Karoly Heberger

Copyright © 2016 Victoria Andrea Arana et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In a previous work using

H-NMR we reported encouraging steps towards the construction of a robust expert system for the discrimination of coffees from Colombia versus nearby countries Brazil and Peru, to assist the recent protected geographical indication granted to Colombian coffee in 2007. This system relies on fingerprints acquired on a 400 MHz magnet and is thus well suited for small scale random screening of samples obtained at resellers or coffee shops. However, this approach cannot easily be implemented at harbour’s installations, due to the elevated operational costs of cryogenic magnets. This limitation implies shipping the samples to the NMR laboratory, making the overall approach slower and thereby more expensive and less attractive for large scale screening at harbours. In this work, we report on our attempt to obtain comparable classification results using alternative techniques that have been reported promising as an alternative to NMR: GC-MS and GC-C-IRMS. Although statistically significant information could be obtained by all three methods, the results show that the quality of the classifiers depends mainly on the number of variables included in the analysis; hence NMR provides an advantage since more molecules are detected to obtain a model with better predictions.

Author: Victoria Andrea Arana, Jessica Medina, Pierre Esseiva, Diego Pazos, and Julien Wist



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