Instituto de Física Aplicada (CSIC), Madrid, Spain.
Talanta. 2010 Mar 15;80(5):1899-906. doi: 10.1016/j.talanta.2009.10.041. Epub 2009 Oct 28.
An electronic nose (e-nose) based on thin film semiconductor sensors has been developed in order to compare the performance in threshold detection and concentration quantification with a trained human sensory panel in order to demonstrate the use of an e-nose to assess the enologists in an early detection of some chemical compounds in order to prevent wine defects. The panel had 25 members and was trained to detect concentration thresholds of some compounds of interest present in wine. Typical red wine compounds such as whiskeylactone and white wine compounds such as 3-methyl butanol were measured at different concentrations starting from the detection threshold found in literature (in the nanograms to milligrams per liter range). Pattern recognition methods (principal component analysis (PCA) and neural networks) were used to process the data. The results showed that the performance of the e-nose for threshold detection was much better than the human panel. The compounds were detected by the e-nose at concentrations up to 10 times lower than the panel. Moreover the e-nose was able to identify correctly each concentration level therefore quantitative applications are devised for this system.
为了比较基于薄膜半导体传感器的电子鼻（e-nose）在阈值检测和浓度定量方面的性能，与经过训练的人类感官小组进行比较，以证明使用电子鼻来评估酿酒师是否能在早期发现葡萄酒中的某些化合物，从而防止葡萄酒缺陷。该小组有 25 名成员，经过训练以检测葡萄酒中一些感兴趣的化合物的浓度阈值。在不同的浓度下测量了典型的红酒化合物（如威士忌内酯）和白葡萄酒化合物（如 3-甲基丁醇），起始浓度为文献中发现的检测阈值（纳克到毫克/升范围）。使用模式识别方法（主成分分析（PCA）和神经网络）来处理数据。结果表明，电子鼻在阈值检测方面的性能远远优于人类小组。电子鼻可以检测到比小组低 10 倍的浓度的化合物。此外，电子鼻能够正确识别每个浓度水平，因此为该系统设计了定量应用。
