Hindawi Publishing Corporation Journal of Analytical Methods in Chemistry Volume 2016, Article ID 8564584, 11 pages http://dx.doi.org/10.1155/2016/8564584 Research Article Classification of Coffee Beans by GC-C-IRMS, 1 GC-MS, and H-NMR Victoria Andrea Arana,1 Jessica Medina,2 Pierre Esseiva,3 Diego Pazos,3 and Julien Wist2 1 Grupo de Investigacion´ Ciencias, Educacion´ y Tecnolog´ıa (CETIC), Programa de Qu´ımica, Facultad de Ciencias Basicas,´ Universidad del Atlantico,´ km 7 Antigua V´ıa Puerto Colombia, Barranquilla, Atlantico,´ Colombia 2Chemistry Department, Universidad del Valle, A.A. 25360, Cali, Colombia 3Institut de Police Scientifique, Ecole´ des Sciences Criminelles, UniversitedeLausanne,1015Lausanne,Switzerland´ Correspondence should be addressed to Julien Wist;
[email protected] 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. 1 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 resellersorcoffeeshops.However,thisapproachcannoteasilybe 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.