Floral classification of honey using mid-infrared spectroscopy and surface acoustic wave based z-Nose sensor

Journal of Agricultural and Food Chemistry

Volumn 53, Issue 18, 2005, Pages 6955-6966

  Tewari, Jagdish C ^a   Irudayaraj, Joseph M K ^b  

^a PURDUE UNIVERSITY   (United States)

^b Purdue University   (United States)

Author keywords

FTIR spectroscopy; Honey; Multivariate statistics; Neural networks; z Nose

Indexed keywords

AMINO ACID; CARBOHYDRATE;

ACOUSTICS; ANALYSIS OF VARIANCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; CLASSIFICATION; ELECTRONICS; FLOWER; HONEY; INFRARED SPECTROSCOPY; ODOR; SENSITIVITY AND SPECIFICITY;

ACOUSTICS; AMINO ACIDS; ANALYSIS OF VARIANCE; CARBOHYDRATES; ELECTRONICS; FLOWERS; HONEY; NEURAL NETWORKS (COMPUTER); ODORS; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, FOURIER TRANSFORM INFRARED;

DAUCUS CAROTA; MALVACEAE; MEDICAGO SATIVA; TRIFOLIUM;

EID: 25444528248     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf050139z     Document Type: Article

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