BIBLIOGRAPHIC RECORD

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

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Recorded authors: Hendryk Czech; Jan Heide; Sven Ehlert; Thomas Koziorowski; Ralf Zimmermann
Source of metadata: Crossref
Year recorded: 2020

Public identifiers and source

doi:10.3390/foods9050627

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Reference

Hendryk Czech; Jan Heide; Sven Ehlert; Thomas Koziorowski; Ralf Zimmermann. (2020). 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. https://doi.org/10.3390/foods9050627

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