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New Methods for the early detection of fungal contamination on green coffee beans by an Electronic Nose
Università di Modena e Reggio Emilia.
Università di Modena e Reggio Emilia.
Università di Modena e Reggio Emilia.
Università di Modena e Reggio Emilia.ORCID iD: 0000-0003-1785-7177
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2012 (English)In: 2012 sixth International Conference on Sensing Technology, IEEE Communications Society, 2012, p. 414-417Conference paper, Published paper (Refereed)
Abstract [en]

Electronic Noses (ENs) are attracting a relevant interest as valuable monitoring tool in several fields, between which the food industry, with special emphasis on microbial contamination detection on food products. Herein we present the ability of an Electronic Nose to early identify the fungi contamination in green coffee. The detection of mold in green coffee was achieved thanks to the cooperative use of different chemical and microbiological (fenotipic) techniques aimed to detect the secondary metabolites. Obtained results strongly recommend the use of the ENs as screening tools in industrial quality control laboratories, emphasizing at the same time some limits still affecting the sensor technology.

Place, publisher, year, edition, pages
IEEE Communications Society, 2012. p. 414-417
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Research subject
Experimental physics
Identifiers
URN: urn:nbn:se:ltu:diva-35264Local ID: 9b9a3db8-a8de-482d-b340-1301456f871dISBN: 978-1-4673-2248-5 (print)OAI: oai:DiVA.org:ltu-35264DiVA, id: diva2:1008516
Conference
International Conference on Sensing Technology : 18/12/2012 - 21/12/2012
Note
Upprättat; 2012; 20160524 (inah)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Concina, Isabella

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