期刊
SENSORS
卷 12, 期 6, 页码 8055-8072出版社
MDPI
DOI: 10.3390/s120608055
关键词
independent component analysis; partial least squares; artificial neural networks; electronic nose; wine classification
资金
- Regional Government of Extremadura, through the European Regional Development Funds [GR10097]
- Spanish Ministry of Science and Innovation, through the project NAMIRIS [TEC2010-21357-C05-02]
The aim of this work is to propose an alternative way for wine classification and prediction based on an electronic nose (e-nose) combined with Independent Component Analysis (ICA) as a dimensionality reduction technique, Partial Least Squares (PLS) to predict sensorial descriptors and Artificial Neural Networks (ANNs) for classification purpose. A total of 26 wines from different regions, varieties and elaboration processes have been analyzed with an e-nose and tasted by a sensory panel. Successful results have been obtained in most cases for prediction and classification.
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