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.