Volatile organic compounds (VOCs) fingerprinting combined with complex network analysis as a forecasting tool for tracing the origin and genetic lineage of Arabica specialty coffees

Due to the globalization of coffee trade, ensuring the safety and traceability of coffee has become a critical challenge, prompting global authorities to implement new traceability systems to enhance quality identification and protect consumers from fraud. Aroma is a crucial parameter in the evaluation and differentiation of coffees, influenced by factors such as genetics, origin, post harvesting process, roast level, and brewing method. This paper provides, for the first time, a comprehensive overview of the volatile fingerprints of specialty coffees, categorized by their respective quality levels. In particular, this study aimed to evaluate the potential of volatile compounds monitored through Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-ToF-MS) as objective, fast, reliable and repeatable tool for tracking the quality and genetic lineage of Arabica specialty coffees. The spectra of volatile organic compounds (VOCs) were acquired from 1132 coffee samples (both specialty and non-specialty) from various varieties, origins, and processing methods. Results clearly indicate that the volatile composition of specialty coffee is predominantly influenced by its genetic lineage. Arabica coffee species belonging to Bourbon, Typica, and Ethiopian landraces showed higher total VOCs emission, while varieties related to Robusta, which are related to the Canephora one, emit less. Finally, by employing a complex network analysis approach based on headspace VOC analysis, it was possible to accurately distinguish between different categories of specialty Arabica coffee. Notably, our analysis shows that the quality of specialty coffee is not linked to the number of VOCs emitted, but rather to the level emission of some pleasant aroma compounds. These findings open new perspectives for the development of aroma profiling techniques and demonstrate the unique aroma release characteristics of specialty coffees.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-21
DOI
https://doi.org/10.1038/s41598-025-97162-5
Citations
6
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
8.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Volatile organic compounds (VOCs) fingerprinting combined with complex network analysis as a forecasting tool for tracing the origin and genetic lineage of Arabica specialty coffees

Cosimo Taiti, Diego Comparini, Camilla Pandolfi, Stefano Mancuso et al.
6 citations
Scientific Reports
Coffee research and impacts
8.37
article

Volatile organic compounds (VOCs) fingerprinting combined with complex network analysis as a forecasting tool for tracing the origin and genetic lineage of Arabica specialty coffees

Cosimo Taiti, Diego Comparini, Camilla Pandolfi, Stefano Mancuso, Gianna Vivaldo
article en
6 citations

Abstract

Due to the globalization of coffee trade, ensuring the safety and traceability of coffee has become a critical challenge, prompting global authorities to implement new traceability systems to enhance quality identification and protect consumers from fraud. Aroma is a crucial parameter in the evaluation and differentiation of coffees, influenced by factors such as genetics, origin, post harvesting process, roast level, and brewing method. This paper provides, for the first time, a comprehensive overview of the volatile fingerprints of specialty coffees, categorized by their respective quality levels. In particular, this study aimed to evaluate the potential of volatile compounds monitored through Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-ToF-MS) as objective, fast, reliable and repeatable tool for tracking the quality and genetic lineage of Arabica specialty coffees. The spectra of volatile organic compounds (VOCs) were acquired from 1132 coffee samples (both specialty and non-specialty) from various varieties, origins, and processing methods. Results clearly indicate that the volatile composition of specialty coffee is predominantly influenced by its genetic lineage. Arabica coffee species belonging to Bourbon, Typica, and Ethiopian landraces showed higher total VOCs emission, while varieties related to Robusta, which are related to the Canephora one, emit less. Finally, by employing a complex network analysis approach based on headspace VOC analysis, it was possible to accurately distinguish between different categories of specialty Arabica coffee. Notably, our analysis shows that the quality of specialty coffee is not linked to the number of VOCs emitted, but rather to the level emission of some pleasant aroma compounds. These findings open new perspectives for the development of aroma profiling techniques and demonstrate the unique aroma release characteristics of specialty coffees.

Scientific ReportsVol. 15(1)
Don Carlo Gnocchi Foundation (IT), University of Florence (IT)
Zero hunger
Openalex Percentile: Top 2%
Coffee research and impacts
8.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.