Classification of coffee beans by GC-C-IRMS, GC-MS, and 1H-NMR

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Ressource 1Download: BIB_BD544DDE34E5.P001.pdf (1752.89 [Ko])
State: Public
Version: Final published version
Serval ID
serval:BIB_BD544DDE34E5
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Classification of coffee beans by GC-C-IRMS, GC-MS, and 1H-NMR
Journal
Journal of analytical methods in chemistry
Author(s)
Arana V. A., Medina J., Esseiva P., Pazos D., Wist J.
ISSN
2090-8865 ; 2090-8873
Publication state
Published
Issued date
06/2016
Peer-reviewed
Oui
Volume
2016
Pages
NA
Language
english
Notes
ID 8564584
Abstract
In a previous work using 1H-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 400MHz 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 toNMR: GC-MS andGC-C-IRMS.Although statistically significant information could be obtained by all threemethods, the results showthat the quality of the classifiers dependsmainly 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.
Open Access
Yes
Create date
19/07/2016 14:32
Last modification date
20/08/2019 15:31
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