title: [Development of the soft independent modelling of class analogies model to discrimination Vibrio parahemolyticus by Smartongue].
abstract: OBJECTIVE
  To explore a new rapid detection method for detecting of Food pathogens.
  
  
  METHODS
  We used the Smartongue, to determine the composition informations of the liquid culture samples and combined with soft independent modelling of class analogies (SIMCA) to analyze their respective species, then set up a Smartongue -SIMCA model to discriminate the V. parahaemolyticus.
  
  
  RESULTS
  The Smartongue has 6 working electrodes and three frequency segments, we can built 18 discrimination models in one detection. After comparing all the 18 discrimination models, the optimal working electrodes and frequency segments were selected out, they were: palladium electrode in 1 Hz frequency segment, tungsten electrode in 100 Hz and silver electrode in 100 Hz. Then 10 species of pathogenic Vibrio were discriminated by the 3 models. The V. damsela, V. metschnikovii, V. alginalyticus, V. cincinnatiensis, V. metschnikovii and V. cholerae O serogroup samples could be discriminated by the SIMCA model of V. parahaemolyticus with palladium electrode 1 Hz frequency segment; V. mimicus and V. vulnincus samples could be discriminated by the SIMCA model of V. parahaemolyticus with tungsten electrode 100 Hz frequency segment; V. carcariae and V. cholerae non-O serogroup samples could be discriminated with the SIMCA model of V. parahaemolyticus in silver electrode 100 Hz frequency segment. The accurate discrimination of ten species of Vibrio samples is 100%.
  
  
  CONCLUSIONS
  The Smartongue combined with SIMCA can discriminate V. parahaemolyticus with other pathogenic Vibrio effectively. It has a promising future as a new rapid detection method for V. parahaemolyticus.
authors.affiliation: College Food Science and Biotechnology Engineering, Zhejiang Gongshang University, Food Safety Key Lab of Zhejiang Province, Hangzhou 310035, China.
authors.forename: Jianfeng
authors.initials: J
authors.lastname: Huang
authors.forename: Guangying
authors.initials: G
authors.lastname: Zhao
authors.forename: Wenchao
authors.initials: W
authors.lastname: Dou
mesh_terms: D015374:Biosensing Techniques / Q000379:methods*; D005516:Food Microbiology / Q000379:methods*; D014736:Vibrio parahaemolyticus / Q000737:chemistry / Q000145:classification* / Q000302:isolation & purification*