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Article details
Title
Authentication of Italian Espresso coffee blends through the GC peak ratio between kahweol and 16-O-methylcafestol
Published in
Food Chemistry, June 2012
DOI 10.1016/j.foodchem.2012.06.007
Pubmed ID
Authors
Abstract

Since the price of Arabica is currently more than twice higher than Robusta, a rapid and reliable method for the determination of the roasted coffee blend composition is fundamental for the authentication of commercial blends used for the Italian Espresso coffee. A GC-FID method based on the ratio between the integrated peak areas of kahweol (K) divided by the sum of K and 16-O-methylcafestol (16MCF) was developed. No internal/external standard was used. Moreover, the quantitation of the unsaponifiable compounds is not necessary, as well as the calculation of any response factors. The percentage of Robusta in 34 samples of coffee blends with known composition, and in 48 samples of pure varieties was used to build a cubic polynomial function with R(2)=0.998. The roasting conditions did not affect the results. Considering eight commercial blends (ranging 0-90% Robusta), no significant difference (two-tailed P=0.817) was registered between the claimed and the predicted composition.

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Italy 2 2%
Portugal 1 1%
Brazil 1 1%
Unknown 91 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 15 16%
Researcher 14 15%
Student > Ph. D. Student 12 13%
Student > Master 9 9%
Student > Doctoral Student 6 6%
Other 15 16%
Unknown 24 25%
Readers by discipline
Readers by discipline Count As %
Chemistry 29 31%
Agricultural and Biological Sciences 16 17%
Engineering 7 7%
Computer Science 3 3%
Materials Science 3 3%
Other 5 5%
Unknown 32 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2012.
All research outputs
#18,778,002
of 27,260,832 outputs
Outputs from Food Chemistry
#1,324
of 1,705 outputs
Outputs of similar age
#125,730
of 186,126 outputs
Outputs of similar age from Food Chemistry
#36
of 47 outputs
Altmetric has tracked 27,260,832 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,705 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 186,126 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.