2020
DOI: 10.1007/s10068-020-00779-7
|View full text |Cite
|
Sign up to set email alerts
|

Characterization of Arabica and Robusta volatile coffees composition by reverse carrier gas headspace gas chromatography–mass spectrometry based on a statistical approach

Abstract: Nineteen samples of Arabica and 14 of Robusta coming from various plantation were analysed by dynamic headspace capillary gas chromatography-mass spectrometry to characterize the volatile fraction of green and roasted samples and the relationships of the same species with geographical origin. As concerns green beans, Arabica species appear characterized by high content of n-hexanol, furfural and amylformate, while Robusta species by greater content of ethylpyrazine, dimethylsulfone and 2-heptanone. Four variab… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
17
1
4

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 15 publications
(28 citation statements)
references
References 31 publications
1
17
1
4
Order By: Relevance
“…Many different analytical techniques have been investigated to discriminate Arabica and Robusta coffee species, including molecular genetics approaches ( Combes et al, 2018 , Spaniolas et al, 2006 ), nuclear magnetic resonance spectroscopy ( Cagliani et al, 2013 , Defernez et al, 2017 , Monakhova et al, 2015 ), liquid- and gas chromatography mass spectrometry ( Garrett et al, 2012 , Procida et al, 2020 ) among others. The above-mentioned methods can provide high sensitivity and thus be suitable for the tier 2 confirmatory analysis of suspect fraudulent samples, however the application of these techniques would not be feasible for the rapid tier 1 point-of-use screening and monitoring of coffee authenticity.…”
Section: Introductionmentioning
confidence: 99%
“…Many different analytical techniques have been investigated to discriminate Arabica and Robusta coffee species, including molecular genetics approaches ( Combes et al, 2018 , Spaniolas et al, 2006 ), nuclear magnetic resonance spectroscopy ( Cagliani et al, 2013 , Defernez et al, 2017 , Monakhova et al, 2015 ), liquid- and gas chromatography mass spectrometry ( Garrett et al, 2012 , Procida et al, 2020 ) among others. The above-mentioned methods can provide high sensitivity and thus be suitable for the tier 2 confirmatory analysis of suspect fraudulent samples, however the application of these techniques would not be feasible for the rapid tier 1 point-of-use screening and monitoring of coffee authenticity.…”
Section: Introductionmentioning
confidence: 99%
“…Coffee has more than 100 species worldwide, there are 2 important species, namely Arabica and Robusta. Arabica is well-known for its sensory advantages and represents 60% of world production [1]. Indonesia is one of the largest coffee producers in the world.…”
Section: Introductionmentioning
confidence: 99%
“…To reduce this event, it takes sufficient level of antioxidants for the body, which can be gained by food or drinks. Coffee beans have bioactive compounds in the form of alkaloids, phenolics, and terpenoids, functioned to increase antioxidants in the body when it is consumed [1]. In coffee processing, coffee roasting process makes these compounds have very high antioxidants, namely melanoidin "chocolate pigment".…”
Section: Introductionmentioning
confidence: 99%
“…The type of coffee and origin can also affect relative concentration of chemicals formed. Using dynamic headspace analysis to characterize the volatile composition of roasted coffee, a greater concentration of diacetyl and 2,3-pentanedione was measured for Arabica samples (3,235–8,818 μg diacetyl/kg and 3,087–8,853 μg 2,3-pentanedione/kg) compared to Robusta samples (1,959–4,316 μg diacetyl/kg and 341.1–4,701 μg 2,3-pentanedione/kg) ( 18 ). Colzi et al observed a similar trend of greater VOC emissions in terms of type and quantity from Arabica compared to Robusta when attempting to characterize and distinguish species based on volatile profiles using proton transfer time-of-flight mass spectrometry ( 19 ).…”
Section: Introductionmentioning
confidence: 99%