Optimization of Solvent Terminated Dispersive Liquid–Liquid Microextraction of Copper Ions in Water and Food Samples Using Artificial Neural Networks Coupled Bees Algorithm - Farajvand, Mohammad; Kiarostami, Vahid; Davallo, Mehran; Ghaedi, Abdolmohammad (Bulletin of environmental contamination and toxicology, 2018)
Keywords: Acetone; Algorithms; Aquatic Pollution; Artificial neural networks; Bees; Chelating agents; Chelating Agents - chemistry; Chelation; Copper; Copper - analysis; detection limit; Dispersion; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Environmental quality; Extraction processes; Food Contamination - analysis; Ions; Limit of Detection; Liquid Phase Microextraction - methods; liquid-phase microextraction; multivariate analysis; Neural networks; Neural Networks (Computer); Optimization; pH effects; Pollution; Quantitation; Soil Science & Conservation; Solvents; Solvents - chemistry; Spectrophotometry, Atomic; system optimization; Waste Water Technology; Water Management; Water Pollutants, Chemical - analysis; Water Pollution Control; Xylene; Bees algorithm; Solvent terminated dispersive liquid–liquid microextraction; Response surface methodology; Copper ions