Spectroscopic Study of Volatile Organic Compounds for the Assessment of Coffee Authenticity

This study aimed at defining the infrared spectral signatures of volatile organic compounds (VOCs) of relevant interest for coffee bean authentication and quality control. Fourier Transform Infrared Spectroscopy was employed to acquire the mid-infrared absorption spectra of some representative coffee markers, namely Pyridine, 2-Methylpyrazine, 2,5-Dimethylpyrazine, Furfural, 5-Methylfurfural and Furfuryl Alcohol, with high resolution of 0.1 cm<sup>-1</sup>. Mixtures of these VOCs simulating their amount in coffee seeds were analyzed using multilinear regression. The achieved results demonstrate the potentiality of coffee fingerprinting by VOC's signature in the absorption spectra for discriminating coffee origin.

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Publication Details

Journal
Molecules
Published
2025-08-25
DOI
https://doi.org/10.3390/molecules30173487
Citations
1
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
1.39

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article

Spectroscopic Study of Volatile Organic Compounds for the Assessment of Coffee Authenticity

Luciano Navarini, Pietro Patimisco, Marilena Giglio, Giansergio Menduni et al.
1 citations
Molecules
Coffee research and impacts
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article

Spectroscopic Study of Volatile Organic Compounds for the Assessment of Coffee Authenticity

Luciano Navarini, Pietro Patimisco, Marilena Giglio, Giansergio Menduni, Arianna Elefante, Erica Liberto, Vincenzo Spagnolo, Chiara Cordero, Andrea Caratti, Andrea Zifarelli, Angelo Sampaolo, Cecilia Cagliero, Lavinia A. Mongelli, Adriana Bux
article en
1 citations

Abstract

This study aimed at defining the infrared spectral signatures of volatile organic compounds (VOCs) of relevant interest for coffee bean authentication and quality control. Fourier Transform Infrared Spectroscopy was employed to acquire the mid-infrared absorption spectra of some representative coffee markers, namely Pyridine, 2-Methylpyrazine, 2,5-Dimethylpyrazine, Furfural, 5-Methylfurfural and Furfuryl Alcohol, with high resolution of 0.1 cm<sup>-1</sup>. Mixtures of these VOCs simulating their amount in coffee seeds were analyzed using multilinear regression. The achieved results demonstrate the potentiality of coffee fingerprinting by VOC's signature in the absorption spectra for discriminating coffee origin.

MoleculesVol. 30(17)
Istituto di Fotonica e Nanotecnologie (IT), University of Turin (IT), Polytechnic University of Bari (IT)
European Commission
Openalex Percentile: Top 17%
Coffee research and impacts
1.39
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Spectroscopic Study of Volatile Organic Compounds for the Assessment of Coffee Authenticity — Luciano Navarini, Pietro Patimisco, et al. · Molecules (2025) | TGRS Research Map | TGRS