Literature DB >> 27309797

Resolving Coffee Roasting-Degree Phases Based on the Analysis of Volatile Compounds in the Roasting Off-Gas by Photoionization Time-of-Flight Mass Spectrometry (PI-TOFMS) and Statistical Data Analysis: Toward a PI-TOFMS Roasting Model.

Hendryk Czech1, Claudia Schepler1, Sophie Klingbeil1,2, Sven Ehlert1,3, Jessalin Howell4, Ralf Zimmermann1,2,5.   

Abstract

Coffee beans of two cultivars, Arabica (Mexico) and Robusta (Vietnam), were roasted in a small-scale drum roaster at different temperature profiles. Evolving volatile compounds out of the roasting off-gas were analyzed by photoionization mass spectrometry at four different wavelengths, either with single-photon ionization (SPI) or resonance-enhanced multiphoton ionization (REMPI). The different analyte selectivities at the four wavelengths and their relevance for the examination of the roasting process were discussed. Furthermore, intensities of observed m/z were grouped by non-negative matrix factorization (NMF) to reveal the temporal evolutions of four roasting phases ("evaporation", "early roast", "late roast", and "overroast") from NMF scores and the corresponding molecular composition from the NMF factor loadings, giving chemically sound results concerning the roasting phases. Finally, linear classifiers were constructed from real mass spectra at maximum NMF scores by linear discriminant analysis to obtain quantities which are simple to measure for real-time analysis of the roasting process.

Entities:  

Keywords:  beverage; process control; resonance-enhanced multi-photon ionization (REMPI); roasting phase; single-photon ionization (SPI)

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Year:  2016        PMID: 27309797     DOI: 10.1021/acs.jafc.6b01683

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


  2 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.  Profiling Analysis Reveals the Crucial Role of the Endogenous Peptides in Bladder Cancer Progression.

Authors:  Weijian Li; Yang Zhang; Youjian Li; Yuepeng Cao; Jun Zhou; Zhongxu Sun; Wanke Wu; Xiaofang Tan; Yang Shao; Kaipeng Xie; Xiang Yan
Journal:  Onco Targets Ther       Date:  2020-12-03       Impact factor: 4.147

  2 in total

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