Mycotoxins represent an heterogeneous group of toxic compounds from fungi metabolism. Due to the frequent occurrence of mycotoxins in cereals commodities the develop of cost/effective screening methods represent an important topic to ensure food and feed safety. In the presented study a commercial electronic nose constituted by ten MOS (Metal Oxide Sensors) was applied to verify the possibility of discriminating between mycotoxins contaminated and non-contaminated cereals. The described analytical approach was able to discriminate contaminated and non-contaminated samples both in the case of aflatoxins infected maize and deoxynivalenol infected durum wheat samples. In the case of maize data two sensors from the array revealed a partial relation with the level of aflatoxins. These results could be promising for a further improvement of electronic nose application in order to develop a semi-quantitative screening approach to mycotoxins contamination.
Screening Cereals Quality by Electronic Nose : the Example of Mycotoxins Naturally contaminated Maize and Durum Wheat / A. Campagnoli, V. Dell'Orto, G. Savoini, F. Cheli (AIP CONFERENCE PROCEEDINGS. MATHEMATICAL AND STATISTICAL PHYSICS). - In: Olfaction and Electronic Nose : / [a cura di] M. Pardo, G. Sberveglieri. - [s.l] : AIP, 2009. - ISBN 9780735406742. - pp. 507-510 (( Intervento presentato al 13. convegno International Symposium on Olfaction and Electronic Nose tenutosi a Brescia nel 2009.
Screening Cereals Quality by Electronic Nose : the Example of Mycotoxins Naturally contaminated Maize and Durum Wheat
A. CampagnoliPrimo
;V. Dell'OrtoSecondo
;G. SavoiniPenultimo
;F. CheliUltimo
2009
Abstract
Mycotoxins represent an heterogeneous group of toxic compounds from fungi metabolism. Due to the frequent occurrence of mycotoxins in cereals commodities the develop of cost/effective screening methods represent an important topic to ensure food and feed safety. In the presented study a commercial electronic nose constituted by ten MOS (Metal Oxide Sensors) was applied to verify the possibility of discriminating between mycotoxins contaminated and non-contaminated cereals. The described analytical approach was able to discriminate contaminated and non-contaminated samples both in the case of aflatoxins infected maize and deoxynivalenol infected durum wheat samples. In the case of maize data two sensors from the array revealed a partial relation with the level of aflatoxins. These results could be promising for a further improvement of electronic nose application in order to develop a semi-quantitative screening approach to mycotoxins contamination.Pubblicazioni consigliate
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