Literature DB >> 32283765

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

Gancarz Marek1, Bohdan Dobrzański2, Tomasz Oniszczuk3, Maciej Combrzyński3, Daniel Ćwikła4, Robert Rusinek1.   

Abstract

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 Arabica 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.

Entities:  

Keywords:  chemometrics; electronic nose; gas chromatography; roasted coffee beans; volatile compound profiles

Year:  2020        PMID: 32283765     DOI: 10.3390/s20072124

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  13 in total

1.  Gas chromatography/mass spectrometry-based metabolite profiling of coffee beans obtained from different altitudes and origins with various postharvest processing.

Authors:  Fitri Amalia; Pingkan Aditiawati; Sastia Prama Putri; Eiichiro Fukusaki
Journal:  Metabolomics       Date:  2021-07-12       Impact factor: 4.290

2.  Influence of Changes in the Level of Volatile Compounds Emitted during Rapeseed Quality Degradation on the Reaction of MOS Type Sensor-Array.

Authors:  Robert Rusinek; Henryk Jeleń; Urszula Malaga-Toboła; Marek Molenda; Marek Gancarz
Journal:  Sensors (Basel)       Date:  2020-06-01       Impact factor: 3.576

3.  Identification of the Olfactory Profile of Rapeseed Oil as a Function of Heating Time and Ratio of Volume and Surface Area of Contact with Oxygen Using an Electronic Nose.

Authors:  Robert Rusinek; Dominik Kmiecik; Marzena Gawrysiak-Witulska; Urszula Malaga-Toboła; Sylwester Tabor; Pavol Findura; Aleksander Siger; Marek Gancarz
Journal:  Sensors (Basel)       Date:  2021-01-05       Impact factor: 3.576

4.  Instrumental Odour Monitoring System Classification Performance Optimization by Analysis of Different Pattern-Recognition and Feature Extraction Techniques.

Authors:  Tiziano Zarra; Mark Gino K Galang; Florencio C Ballesteros; Vincenzo Belgiorno; Vincenzo Naddeo
Journal:  Sensors (Basel)       Date:  2020-12-27       Impact factor: 3.576

5.  Effect of Supplementation of Flour with Fruit Fiber on the Volatile Compound Profile in Bread.

Authors:  Robert Rusinek; Marzena Gawrysiak-Witulska; Aleksander Siger; Anna Oniszczuk; Aneta A Ptaszyńska; Jarosław Knaga; Urszula Malaga-Toboła; Marek Gancarz
Journal:  Sensors (Basel)       Date:  2021-04-16       Impact factor: 3.576

6.  Consumer Perception of Food Quality and Safety in Western Balkan Countries: Evidence from Albania and Kosovo.

Authors:  Rainer Haas; Drini Imami; Iliriana Miftari; Prespa Ymeri; Klaus Grunert; Oliver Meixner
Journal:  Foods       Date:  2021-01-14

7.  Influence of Loss Aversion and Income Effect on Consumer Food Choice for Food Safety and Quality Labels.

Authors:  Wenjing Nie; Huimin Bo; Jing Liu; Taiping Li
Journal:  Front Psychol       Date:  2021-07-08

8.  Characterization of Arabica and Robusta Coffees by Ion Mobility Sum Spectrum.

Authors:  Paweł Piotr Konieczka; María José Aliaño-González; Marta Ferreiro-González; Gerardo F Barbero; Miguel Palma
Journal:  Sensors (Basel)       Date:  2020-05-31       Impact factor: 3.576

Review 9.  Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue-Critical Overview.

Authors:  Balkis Aouadi; John-Lewis Zinia Zaukuu; Flora Vitális; Zsanett Bodor; Orsolya Fehér; Zoltan Gillay; George Bazar; Zoltan Kovacs
Journal:  Sensors (Basel)       Date:  2020-09-24       Impact factor: 3.576

10.  Determination of the Influence of Mechanical Properties of Capsules and Seeds on the Susceptibility to Feeding of Mononychus pubctumalbum in Endangered Plant Species Iris aphylla L. and Iris sibirica L.

Authors:  Magdalena Śmigała; Krystyna Winiarczyk; Agnieszka Dąbrowska; Marcin Domaciuk; Marek Gancarz
Journal:  Sensors (Basel)       Date:  2021-03-22       Impact factor: 3.576

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