Simultaneous determination of Co2+, Ni2+, Cu2+ and Zn2+ ions in foodstuffs and vegetables with a new Schiff base using artificial neural networks

Talanta

Volumn 77, Issue 3, 2009, Pages 995-1001

  Afkhami, Abbas ^a   Abbasi Tarighat, Maryam ^a   Khanmohammadi, Hamid ^b  

^a BU ALI SINA UNIVERSITY   (Iran)

^b ARAK UNIVERSITY   (Iran)

Author keywords

Artificial neural networks; Foodstuffs; Metal ions; Schiff base; Simultaneous determination; Vegetables

Indexed keywords

COMPLEX NETWORKS; COMPLEXATION; LEARNING ALGORITHMS; MEAN SQUARE ERROR; METAL COMPLEXES; METAL IONS; METALS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SYNTHESIS (CHEMICAL); VEGETABLES;

COMPLEXATION REACTION; FOODSTUFFS; PHARMACEUTICAL PRODUCTS; PRINCIPAL COMPONENTS; ROOT MEAN SQUARE ERRORS; SCHIFF-BASE; SIMULTANEOUS DETERMINATIONS; SYNTHETIC SOLUTIONS;

PRINCIPAL COMPONENT ANALYSIS;

DIVALENT CATION; HEAVY METAL; SCHIFF BASE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; CHEMISTRY; FOOD ANALYSIS; METHODOLOGY; PH; SPECTROPHOTOMETRY; TIME; VEGETABLE;

CALIBRATION; CATIONS, DIVALENT; FOOD ANALYSIS; HYDROGEN-ION CONCENTRATION; METALS, HEAVY; NEURAL NETWORKS (COMPUTER); SCHIFF BASES; SPECTROPHOTOMETRY; TIME FACTORS; VEGETABLES;

EID: 57049106812     PISSN: 00399140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.talanta.2008.07.065     Document Type: Article

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