title: [Discrimination of traditional Chinese medicinal materials with different tastes based on electronic tongue].
abstract: OBJECTIVE
  To investigate the use of the electronic tongue in the evaluation of traditional Chinese medicinal materials with sour, bitter, sweet or salty tastes, and assess the possible application of the sensor in the evaluation of different tastes of traditional Chinese medicinal materials.
  
  
  METHODS
  Aqueous extracts of 22 traditional Chinese medicinal materials were measured by the electronic tongue. The data collected with the tongue was evaluated for discrimination of the samples with multivariate statistical methods: principal component analysis (PCA) and discriminant factor analysis (DFA).
  
  
  RESULTS
  The electronic tongue was capable of discriminating between samples with different taste modalities and could also distinguish different samples eliciting the same basic taste. Twenty-two traditional Chinese medicinal materials could be classified into five clusters based on PCA. These differences seem to derive from the different tastes. DFA was applied to construct a model to discriminate traditional Chinese medicinal materials with different tastes. And the samples yielded about 88.2% accuracy for cross-validation.
  
  
  CONCLUSIONS
  We confirmed that the electronic tongue may provide an analytical procedure for classification of the samples with respect to tastes of the traditional Chinese medicinal materials.
authors.affiliation: Engineering Research Center of Modern Preparation Technology of Traditional Chinese Medicine, Ministry of Education, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Rui Chao
authors.initials: RC
authors.lastname: Du
authors.forename: You-Jie
authors.initials: YJ
authors.lastname: Wang
authors.forename: Fei
authors.initials: F
authors.lastname: Wu
authors.forename: Yi
authors.initials: Y
authors.lastname: Feng
authors.forename: De-Sheng
authors.initials: DS
authors.lastname: Xu
authors.forename: Yan-Long
authors.initials: YL
authors.lastname: Hong
authors.forename: Ke-Feng
authors.initials: KF
authors.lastname: Ruan
mesh_terms: D015374:Biosensing Techniques / Q000295:instrumentation / Q000379:methods*; D016000:Cluster Analysis; D016002:Discriminant Analysis; D004365:Drugs, Chinese Herbal / Q000302:isolation & purification*; D055615:Electrical Equipment and Supplies; D008516:Medicine, Chinese Traditional; D008962:Models, Theoretical; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D013649:Taste
chemical_list: D004365:Drugs, Chinese Herbal