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Multidye Biosorption: Wavelet Neural Network Modeling and Taguchi L 16 Orthogonal Array Design
Author(s) -
Tabaraki Reza,
Khodabakhshi Mina
Publication year - 2017
Publication title -
clean – soil, air, water
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 66
eISSN - 1863-0669
pISSN - 1863-0650
DOI - 10.1002/clen.201500499
Subject(s) - biosorption , taguchi methods , malachite green , orthogonal array , ternary operation , safranin , chemistry , nuclear chemistry , mathematics , materials science , adsorption , analytical chemistry (journal) , chromatography , sorption , composite material , biology , computer science , staining , genetics , programming language
Biosorption of safranin (SF), malachite green (MG), and Janus green B (JG) onto Sargassum ilicifolium was studied in single and ternary systems. Principal component‐wavelet neural network was used for the simultaneous determination SF, MG, and JG in mixture. Biosorbent dose, pH and time were optimized by Taguchi L 16 experimental design and optimum values were 0.1 g L −1 , 8.5, and 85 min, respectively. The maximum biosorption capacity was 0.671 mmol g −1 . Kinetic, equilibrium and thermodynamic of the biosorption process were also investigated. The biosorption kinetic was described by pseudo‐second order model. Several isotherm models were fitted to experimental biosorption data and among the models, Hill, and Sips isotherms had the best fits. Negative Δ G° values confirmed the feasibility and spontaneous nature and of the biosorption process.