Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS

This paper describes the possibility of electronic nose-based detection and discrimination of volatile compound profiles of coffee from different countries roasted in a Gothot roaster under identical time and thermal regimes. The material used in the study was roasted coffee beans from Brazil, Ethio...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2020-04, Vol.20 (7), p.2124
Main Authors: Marek, Gancarz, Dobrzański, Jr, Bohdan, Oniszczuk, Tomasz, Combrzyński, Maciej, Ćwikła, Daniel, Rusinek, Robert
Format: Article
Language:English
Subjects:
Alcohols
Aldehydes
Azines
Caffeine
chemometrics
Chromatography
Coffee
electronic nose
Electronic noses
gas chromatography
Gases
Hydrazides
Natural gas
Odors
roasted coffee beans
Sensors
volatile compound profiles
Volatile compounds
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Summary:This paper describes the possibility of electronic nose-based detection and discrimination of volatile compound profiles of coffee from different countries roasted in a Gothot roaster under identical time and thermal regimes. The material used in the study was roasted coffee beans from Brazil, Ethiopia, Guatemala, Costa Rica, and Peru. The analyses were carried out with the use of the Agrinose electronic nose designed and constructed at the Institute of Agrophysics of the Polish Academy of Sciences in Lublin. The results of the volatile compound profile analysis provided by the Agrinose device were verified with the GC-MS technique. Chemometric tests demonstrated a dominant role of alcohols, acids, aldehydes, azines, and hydrazides in the coffee volatile compound profile. The differences in their content had an impact on the odor profile of the coffees originating from the different countries. High content of pyridine from the group of azines was detected in the coffee from Peru and Brazil despite the same roasting conditions. The results of the Agrinose analysis of volatile substances were consistent and correlated with the GC-MS results. This suggests that the Agrinose is a promising tool for selection of coffees based on their volatile compound profile.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20072124