Evaluation of Industrial Roasting Degree of Coffee Beans by Using an Electronic Nose and a Stepwise Backward Selection of Predictors

Online monitoring of coffee roasting in an industrial plant is becoming an important issue as the experience of the roast master still plays an important role. Despite several approaches have been tested, some limitations were not surmountable as difficulties in scalability from bench scale to indus...

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Veröffentlicht in:	Food analytical methods 2017-10, Vol.10 (10), p.3424-3433
Hauptverfasser:	Giungato, P., Laiola, E., Nicolardi, V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical Chemistry Beans Brightness Chemistry Chemistry and Materials Science Chemistry/Food Science Coffee Coffee industry Electronic noses Food processing Food Science Headspace Industrial engineering Industrial plants Instrumentation Internet Manufacturing engineering Microbiology Monitoring Regression analysis Roasting
Online-Zugang:	Volltext
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