The present contribution is focused on the application of the Electronic Nose to the fast detection of fungi in green coffee. The Electronic nose applied in this study is based on array of 6 metal oxide gas sensors with 4 obtained by the film technology and 2 by nanowire technology. The detection of mold in green coffee was achieved by the EN thanks to the cooperation use of different chemical and microbiological (fenotipic) techniques aimed to detect metabolities.
Fast Identification of Different Kind of Green Coffee by Electronic Nose / Sberveglieri, Veronica; Carmona, E. Nunez; Falasconi, M.; Concina, I.; Pulvirenti, Andrea. - In: SENSOR LETTERS. - ISSN 1546-198X. - 12:(2014), pp. 1110-1112. [10.1166/sl.2014.3167]
Fast Identification of Different Kind of Green Coffee by Electronic Nose
SBERVEGLIERI, VERONICA;PULVIRENTI, Andrea
2014
Abstract
The present contribution is focused on the application of the Electronic Nose to the fast detection of fungi in green coffee. The Electronic nose applied in this study is based on array of 6 metal oxide gas sensors with 4 obtained by the film technology and 2 by nanowire technology. The detection of mold in green coffee was achieved by the EN thanks to the cooperation use of different chemical and microbiological (fenotipic) techniques aimed to detect metabolities.
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