title: Orange juice classification with a biologically based neural network.
abstract: Dystal, an artificial neural network, was used to classify orange juice products. Nine varieties of oranges collected from six geographical regions were processed into single-strength, reconstituted or frozen concentrated orange juice. The data set represented 240 authentic and 173 adulterated samples of juices; 16 variables [8 flavone and flavanone glycoside concentrations measured by high-performance liquid chromatography (HPLC) and 8 trace element concentrations measured by inductively coupled plasma spectroscopy] were selected to characterize each juice and were used as input to Dystal. Dystal correctly classified 89.8% of the juices as authentic or adulterated. Classification performance increased monotonically as the percentage of pulpwash in the sample increased. Dystal correctly identified 92.5% of the juices by variety (Valencia vs non-Valencia).
authors.affiliation: Environmental Research Institute of Michigan, Arlington, VA 22209, USA.
authors.forename: H P
authors.initials: HP
authors.lastname: Dettmar
authors.forename: G S
authors.initials: GS
authors.lastname: Barbour
authors.forename: K T
authors.initials: KT
authors.lastname: Blackwell
authors.forename: T P
authors.initials: TP
authors.lastname: Vogl
authors.forename: D L
authors.initials: DL
authors.lastname: Alkon
authors.forename: F S
authors.initials: FS
authors.lastname: Fry
authors.forename: J E
authors.initials: JE
authors.lastname: Totah
authors.forename: T L
authors.initials: TL
authors.lastname: Chambers
mesh_terms: D000465:Algorithms; D001628:Beverages / Q000009:adverse effects* / Q000032:analysis / Q000145:classification*; D002851:Chromatography, High Pressure Liquid; D002957:Citrus / Q000737:chemistry; D005069:Evaluation Studies as Topic; D005419:Flavonoids / Q000032:analysis; D005506:Food Contamination / Q000032:analysis*; D016571:Neural Networks, Computer; D014131:Trace Elements / Q000032:analysis
chemical_list: D005419:Flavonoids; D014131:Trace Elements