Spectroscopic determination of the photodegradation of monovarietal extra virgin olive oils and their binary mixtures through intelligent systems

Talanta

Volumn 144, Issue , 2015, Pages 363-368

  Torrecilla, José S ^a   Vidal, Sara ^a   Aroca Santos, Regina ^a   Wang, Selina C ^b   Cancilla, John C ^a  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Artificial neural networks; Carotenoids; Chlorophyll; Extra virgin olive oil; Pigments; Spectroscopy

Indexed keywords

CHLOROPHYLL; INTELLIGENT SYSTEMS; NEURAL NETWORKS; OLIVE OIL; PHOTOOXIDATION; PIGMENTS; SPECTROSCOPY; ULTRAVIOLET VISIBLE SPECTROSCOPY;

CAROTENOIDS; ERROR RATE; EXTRA VIRGIN OLIVE OIL; PHOTOCHEMICAL DEGRADATION; SINGLET OXYGEN; SPECTROSCOPIC DETERMINATIONS; SPECTROSCOPIC INFORMATION; UV VISIBLE SPECTROSCOPY;

BINARY MIXTURES;

OLIVE OIL;

ARTIFICIAL NEURAL NETWORK; CHEMISTRY; KINETICS; OXIDATION REDUCTION REACTION; PHOTOLYSIS; ULTRAVIOLET SPECTROPHOTOMETRY;

KINETICS; NEURAL NETWORKS (COMPUTER); OLIVE OIL; OXIDATION-REDUCTION; PHOTOLYSIS; SPECTROPHOTOMETRY, ULTRAVIOLET;

EID: 84947213983     PISSN: 00399140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.talanta.2015.06.042     Document Type: Article

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