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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Flavour and Fragrance Journal
Article . 2025 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Integrating GC ‐ TOF ‐ MS , ROAV and Chemometrics to Understand the Flavour Characteristics of arabica Coffee Varieties in Yunnan

Authors: Hongyan Chen; Xingyu Miao; Xian Chen; Na Wang; Xin Fan; Qi Zhang; Wenjiang Dong; +1 Authors

Integrating GC ‐ TOF ‐ MS , ROAV and Chemometrics to Understand the Flavour Characteristics of arabica Coffee Varieties in Yunnan

Abstract

ABSTRACT The Yunnan Province is the primary coffee‐growing region in China. In this study, the flavour components of seven arabica coffee varieties in Yunnan were detected by headspace solid‐phase microextraction‐gas chromatography time‐of‐flight mass spectrometry (HS‐SPME‐GC‐TOF‐MS) and a total of 178 volatile components were annotated. There were 31 aroma compounds with 1 ≤ rOAV < 100 and 41 aroma compounds with rOAV ≥ 100. According to the aroma characteristics, defined by the relative odour activity value (rOAV) ≥ 1, the arabica coffee in Yunnan primarily exhibits fruit, sour, nut and floral aromas. Particularly, the isobutyl acetate and n‐butyric acid found in Bourbon varieties enhance its fruit and sour aromas. In contrast, Geisha has a prominent floral aroma. Additionally, the 2,3‐dimethyl‐5‐methylpyrazine present only in Catuai significantly contributes to its nutty aroma. The present results provide a valuable theoretical basis for understanding the aroma characteristics of different varieties of arabica coffee and their key underlying components.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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