Neural network analysis of spectroscopic data of lycopene and β-carotene content in food samples compared to HPLC-UV-Vis

Journal of Agricultural and Food Chemistry

Volumn 58, Issue 1, 2010, Pages 72-75

  Cámara, Montaña ^a   Torrecilla, José S ^b   Caceres, Jorge O ^c   Cortes Sanchez Mata M ^a   Fernandez Ruiz, Virginia ^a  

^a Facultad de Farmacia   (Spain)

^b Facultad de Ciencias Químicas   (Mexico)

^c UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

carotene; Chemical interferences; HPLC; Lycopene; Neural networks; Uv spectroscopy

Indexed keywords

BETA CAROTENE; CAROTENOID; LYCOPENE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; COMPARATIVE STUDY; FRUIT; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; METHODOLOGY; ULTRAVIOLET SPECTROPHOTOMETRY; VEGETABLE;

BETA CAROTENE; CAROTENOIDS; CHROMATOGRAPHY, HIGH PRESSURE LIQUID; FRUIT; NEURAL NETWORKS (COMPUTER); SPECTROPHOTOMETRY, ULTRAVIOLET; VEGETABLES;

CITRULLUS LANATUS VAR. LANATUS; DAUCUS CAROTA; LYCOPERSICON ESCULENTUM; MESPILUS GERMANICA;

EID: 75249101320     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf902466x     Document Type: Article

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