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Early discrimination of fungal species responsible of ochratoxin A contamination of wine and other grape products using an electronic nose

机译:早期鉴别引起曲霉毒素的真菌种类使用电子鼻污染葡萄酒和其他葡萄制品

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An electronic nose (e-nose) system using an array of metal oxide sensors (Fox 3000, Alpha MOS) was used to detect and discriminate two ochratoxigenic fungal species, Aspergillus carbonarius (Bain.) Thom and A. niger Van Tieghem, that are responsible for the contamination of wine and other wine grape products, using their volatile production patterns. Two well-known ochratoxigenic strains were used in this study: A. carbonarius A941 and A. niger A75. These strains were grown on three culture media, Czapek Dox modified (CDm) agar, yeast extract sucrose (YES) agar and white grape juice (WGJ) agar, and the volatile organic compounds produced in the headspace by these species were evaluated over periods of 48–120 h. The e-nose system was able to differentiate between the two species within 48 h of growth on YES and WGJ agar using principal component analysis (PCA), which accounted for 99.9% and 97.2% of the data respectively, in principal components 1 and 2, based on the qualitative volatile profiles. This differentiation was confirmed by cluster analysis of data. However, it was not possible to separate these species on CDm agar. Our results show that the two closely related ochratoxigenic species responsible for the contamination of wine and other wine grape products can be discriminated by the use of qualitative volatile fingerprints. This approach could have potential for rapid identification of A. carbonarius and A. niger on wine grape samples, thereby significantly reducing the time of detection of these ochratoxin A producing species.
机译:电子鼻(e-nose)系统使用一系列金属氧化物传感器(Fox 3000,Alpha MOS)来检测和区分两种产毒毒素的真菌,即碳曲霉(Bain。)Thom和黑曲霉Van Tieghem。使用其易变的生产方式,负责葡萄酒和其他葡萄酒的污染。在这项研究中,使用了两个著名的产毒毒素的菌株:A. carbonarius A941和A. niger A75。这些菌株在三种培养基(Czapek Dox修饰的(CDm)琼脂,酵母提取物蔗糖(YES)琼脂和白葡萄汁(WGJ)琼脂)上生长,并评估了这些物种在顶空产生的挥发性有机化合物。 48–120小时。使用主成分分析(PCA),电子鼻系统能够在YES和WGJ琼脂上生长48小时内区分两个物种,这分别占主要成分1和2的数据的99.9%和97.2% ,基于定性的挥发性特征。通过数据的聚类分析证实了这种区别。但是,不可能在CDm琼脂上分离这些物种。我们的结果表明,使用定性挥发性指纹可以区分造成葡萄酒和其他葡萄酒产品污染的两个密切相关的产毒毒素物种。这种方法可能具有快速鉴定酿酒葡萄样品上的碳曲霉和黑曲霉的潜力,从而显着减少了检测这些产och曲毒素A的物种的时间。

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