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CC BY V4.0, Open Access
Journal article
Comparison of Attenuated Total Reflectance Mid-Infrared, Near Infrared, and H-1-Nuclear Magnetic Resonance Spectroscopies for the Determination of Coffee's Geographical Origin
International journal of analytical chemistry, 7210463
2017
PMID: 29201055
Abstract
The sensorial properties of Colombian coffee are renowned worldwide, which is reflected in its market value. This raises the threat of fraud by adulteration using coffee grains from other countries, thus creating a demand for robust and cost-effective methods for the determination of geographical origin of coffee samples. Spectroscopic techniques such as Nuclear Magnetic Resonance (NMR), near infrared (NIR), and mid-infrared (mIR) have arisen as strong candidates for the task. Although a body of work exists that reports on their individual performances, a faithful comparison has not been established yet. We evaluated the performance of H-1-NMR, Attenuated Total Reflectance mIR (ATR-mIR), and NIR applied to fraud detection in Colombian coffee. For each technique, we built classification models for discrimination by species (C. arabica versus C. canephora (or robusta)) and by origin (Colombia versus other C. arabica) using a common set of coffee samples. All techniques successfully discriminated samples by species, as expected. Regarding origin determination, ATR-mIR and H-1-NMR showed comparable capacity to discriminate Colombian coffee samples, while NIR fell short by comparison. In conclusion, ATR-mIR, a less common technique in the field of coffee adulteration and fraud detection, emerges as a strong candidate, faster and with lower cost compared to H-1-NMR and more discriminating compared to NIR.
Details
- Title
- Comparison of Attenuated Total Reflectance Mid-Infrared, Near Infrared, and H-1-Nuclear Magnetic Resonance Spectroscopies for the Determination of Coffee's Geographical Origin
- Authors/Creators
- Jessica Medina - Universidad del ValleDiana Caro Rodriguez - University of LausanneVictoria A. Arana - University of AtlánticoAndres Bernal - Universidad del VallePierre Esseiva - University of LausanneJulien Wist - Universidad del Valle
- Publication Details
- International journal of analytical chemistry, 7210463
- Publisher
- Hindawi Publishing
- Number of pages
- 8
- Identifiers
- 991005616457407891
- Copyright
- © 2017 Jessica Medina et al.
- Murdoch Affiliation
- Centre for Computational and Systems Medicine
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.287 Dietary Stimulants
- 1.287.1516 Coffee and Caffeine
- Web Of Science research areas
- Chemistry, Analytical
- ESI research areas
- Chemistry