E-Nose and e-Tongue combination for improved recognition of fruit juice samples

Food Chemistry

Volumn 150, Issue , 2014, Pages 246-253

  Haddi, Z ^a,c   Mabrouk, S ^b   Bougrini, M ^a   Tahri, K ^a   Sghaier, K ^b   Barhoumi, H ^b   El Bari, N ^a   Maaref, A ^b   Jaffrezic Renault, N ^c   Bouchikhi, B ^a  

^a MOULAY ISMAIL UNIVERSITY   (Morocco)

^b FACULTÉ DES SCIENCES DE MONASTIR   (Tunisia)

^c UNIVERSITÉ LYON 1   (France)

Author keywords

Data analysis; Data fusion; E Nose; E Tongue; Fruit juices; Pattern recognition methods

Indexed keywords

ABSTRACTING; DATA FUSION; DATA REDUCTION; FOOD SUPPLY; FRUIT JUICES; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

COMPREHENSIVE INFORMATION; DATA FUSION STRATEGY; DATA FUSION TECHNIQUE; E-NOSE; E-TONGUE; FUZZY-ARTMAP NEURAL NETWORK; MULTISENSOR DATA FUSION; PATTERN RECOGNITION METHOD;

ELECTRONIC TONGUES;

TIN OXIDE;

APPLE; APPLE JUICE; APRICOT; ARTICLE; FRUIT JUICE; GRAPE; MANGO; ORANGE (FRUIT); ORANGE JUICE; PATTERN RECOGNITION; PEACH; PEAR; PINEAPPLE; PINEAPPLE JUICE; POTENTIOMETRY;

DATA ANALYSIS; DATA FUSION; E-NOSE; E-TONGUE; FRUIT JUICES; PATTERN RECOGNITION METHODS;

BEVERAGES; DATA MINING; DISCRIMINANT ANALYSIS; ELECTRONIC NOSE; FRUIT; ODORS;

EID: 84888104543     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2013.10.105     Document Type: Article

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