Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractPost-translational transport of proteins into microsomal membranes of Candida maltosa    Next AbstractA simple floral fragrance and unusual osmophore structure in Cyclopogon elatus (Orchidaceae) »

Anal Bioanal Chem


Title: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
Author(s):Wieland F; Gloess AN; Keller M; Wetzel A; Schenker S; Yeretzian C;
Address:"Zurich University of Applied Sciences, Institute of Chemistry and Biological Chemistry, 8820 Wadenswil, Switzerland"
Journal Title:Anal Bioanal Chem
Year:2012
Volume:20110923
Issue:8
Page Number:2531 - 2543
DOI: 10.1007/s00216-011-5401-9
ISSN/ISBN:1618-2650 (Electronic) 1618-2642 (Linking)
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/Deltam 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"
Keywords:Coffee/*chemistry *Cooking Food Analysis/*methods Mass Spectrometry *Online Systems *Protons Time Factors Volatile Organic Compounds/analysis;
Notes:"MedlineWieland, Flurin Gloess, Alexia N Keller, Marco Wetzel, Andreas Schenker, Stefan Yeretzian, Chahan eng Research Support, Non-U.S. Gov't Germany 2011/09/29 Anal Bioanal Chem. 2012 Mar; 402(8):2531-43. doi: 10.1007/s00216-011-5401-9. Epub 2011 Sep 23"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 03-07-2024