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Screening Cereals Quality by Electronic Nose: the Example of Mycotoxins Naturally Contaminated Maize and Durum Wheat

机译:通过电子鼻子筛选谷物质量:霉菌毒素的举例自然污染的玉米和杜兰姆小麦

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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 noncontaminated samples both in the case of aflatoxins infected maize and eoxynivalenol 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.
机译:霉菌毒素代表来自真菌代谢的异质毒性化合物。由于谷物商品中经常发生的霉菌毒素,开发成本/有效的筛选方法是确保食品和饲料安全的重要课题。在本研究中,应用了十个MOS(金属氧化物传感器)的商业电子鼻子,以验证鉴别霉菌毒素污染和非受污染谷物之间的可能性。所描述的分析方法能够在感染的玉米和eoxynivalenol感染的硬质小麦样品的情况下歧视污染和非含量的样品。在玉米数据的情况下,来自阵列的两个传感器揭示了与黄曲霉毒素水平的部分关系。这些结果可能具有进一步改善电子鼻施用的进一步改善,以便为霉菌毒素污染产生半定量筛选方法。

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