Literature DB >> 23083340

A further tool to monitor the coffee roasting process: aroma composition and chemical indices.

Manuela R Ruosi1, Chiara Cordero, Cecilia Cagliero, Patrizia Rubiolo, Carlo Bicchi, Barbara Sgorbini, Erica Liberto.   

Abstract

Coffee quality is strictly related to its flavor and aroma developed during the roasting process, that, in their turn, depend on variety and origin, harvest and postharvest practices, and the time, temperature, and degree of roasting. This study investigates the possibility of combining chemical (aroma components) and physical (color) parameters through chemometric approaches to monitor the roasting process, degree of roasting, and aroma formation by analyzing a suitable number of coffee samples from different varieties and blends. In particular, a correlation between the aroma composition of roasted coffee obtained by HS-SPME-GC-MS and degree of roasting, defined by the color, has been researched. The results showed that aroma components are linearly correlated to coffee color with a correlation factor of 0.9387. The study continued looking for chemical indices: 11 indices were found to be linearly correlated to the color resulting from the roasting process, the most effective of them being the 5-methylfurfural/2-acetylfuran ratio (index).

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Year:  2012        PMID: 23083340     DOI: 10.1021/jf3031716

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  3 in total

1.  Smart Online Coffee Roasting Process Control: Modelling Coffee Roast Degree and Brew Antioxidant Capacity for Real-Time Prediction by Resonance-Enhanced Multi-Photon Ionization Mass Spectrometric (REMPI-TOFMS) Monitoring of Roast Gases.

Authors:  Hendryk Czech; Jan Heide; Sven Ehlert; Thomas Koziorowski; Ralf Zimmermann
Journal:  Foods       Date:  2020-05-14

2.  Effects of Species, Post-Harvest Treatment, and Roasting on Fibre, Volatile Compounds, and Polyphenol Contents in Coffee Silverskin.

Authors:  Manuela Giordano; Marta Bertolino; Simona Belviso; Daniela Ghirardello; Giuseppe Zeppa
Journal:  Foods       Date:  2022-10-08

3.  HS-SPME-MS-Enose Coupled with Chemometrics as an Analytical Decision Maker to Predict In-Cup Coffee Sensory Quality in Routine Controls: Possibilities and Limits.

Authors:  Erica Liberto; Davide Bressanello; Giulia Strocchi; Chiara Cordero; Manuela Rosanna Ruosi; Gloria Pellegrino; Carlo Bicchi; Barbara Sgorbini
Journal:  Molecules       Date:  2019-12-10       Impact factor: 4.411

  3 in total

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