Literature DB >> 21947438

Online monitoring of coffee roasting by proton transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS): towards a real-time process control for a consistent roast profile.

Flurin Wieland1, Alexia N Gloess, Marco Keller, Andreas Wetzel, Stefan Schenker, Chahan Yeretzian.   

Abstract

A real-time automated process control tool for coffee roasting is presented to consistently and accurately achieve a targeted roast degree. It is based on the online monitoring of volatile organic compounds (VOC) in the off-gas of a drum roaster by proton transfer reaction time-of-flight mass spectrometry at a high time (1 Hz) and mass resolution (5,500 m/Δm at full width at half-maximum) and high sensitivity (better than parts per billion by volume). Forty-two roasting experiments were performed with the drum roaster being operated either on a low, medium or high hot-air inlet temperature (= energy input) and the coffee (Arabica from Antigua, Guatemala) being roasted to low, medium or dark roast degrees. A principal component analysis (PCA) discriminated, for each one of the three hot-air inlet temperatures, the roast degree with a resolution of better than ±1 Colorette. The 3D space of the three first principal components was defined based on 23 mass spectral profiles of VOCs and their roast degree at the end point of roasting. This provided a very detailed picture of the evolution of the roasting process and allowed establishment of a predictive model that projects the online-monitored VOC profile of the roaster off-gas in real time onto the PCA space defined by the calibration process and, ultimately, to control the coffee roasting process so as to achieve a target roast degree and a consistent roasting.

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Year:  2011        PMID: 21947438     DOI: 10.1007/s00216-011-5401-9

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  5 in total

1.  Biosynthesis of staphylococcal enterotoxin A by genetic engineering technology and determination of staphylococcal enterotoxin A in water by HPLC-ESI-TOF.

Authors:  Hong-Na Li; Fei Yuan; Yun-Jing Luo; Jian-Feng Wang; Chuan-Bin Zhang; Wei-E Zhou; Zhi-Qin Ren; Wen-Jie Wu; Feng Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-04       Impact factor: 4.223

2.  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

3.  Genetic characterization of an almond germplasm collection and volatilome profiling of raw and roasted kernels.

Authors:  M Di Guardo; B Farneti; I Khomenko; G Modica; A Mosca; G Distefano; L Bianco; M Troggio; F Sottile; S La Malfa; F Biasioli; A Gentile
Journal:  Hortic Res       Date:  2021-02-01       Impact factor: 6.793

4.  Real-Time Mass Spectrometry Monitoring of Oak Wood Toasting: Elucidating Aroma Development Relevant to Oak-aged Wine Quality.

Authors:  Ross R Farrell; Marco Wellinger; Alexia N Gloess; David S Nichols; Michael C Breadmore; Robert A Shellie; Chahan Yeretzian
Journal:  Sci Rep       Date:  2015-11-27       Impact factor: 4.379

5.  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

  5 in total

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