Classification of Coffee Beans by GC-C-IRMS, GC-MS, and 1H-NMR
Joint Authors
Arana, Victoria Andrea
Medina, Jessica
Esseiva, Pierre
Pazos, Diego
Wist, Julien
Source
Journal of Analytical Methods in Chemistry
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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 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.
American Psychological Association (APA)
Arana, Victoria Andrea& Medina, Jessica& Esseiva, Pierre& Pazos, Diego& Wist, Julien. 2016. Classification of Coffee Beans by GC-C-IRMS, GC-MS, and 1H-NMR. Journal of Analytical Methods in Chemistry،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1107387
Modern Language Association (MLA)
Arana, Victoria Andrea…[et al.]. Classification of Coffee Beans by GC-C-IRMS, GC-MS, and 1H-NMR. Journal of Analytical Methods in Chemistry No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1107387
American Medical Association (AMA)
Arana, Victoria Andrea& Medina, Jessica& Esseiva, Pierre& Pazos, Diego& Wist, Julien. Classification of Coffee Beans by GC-C-IRMS, GC-MS, and 1H-NMR. Journal of Analytical Methods in Chemistry. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1107387
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1107387