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Fast Identification of Different Kind of Green Coffee by Electronic Nose

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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. Acquired results strongly recommend the use of the EN as screening tools for the green coffee in industrial quality control laboratories, emphasizing at the same time some limits still affecting the sensor technology.


Document Type: Research Article

Publication date: June 1, 2014

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  • The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
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