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Volumn 126, Issue , 2014, Pages 291-300
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Multi-response optimization using Taguchi design and principle component analysis for removing binary mixture of alizarin red and alizarin yellow from aqueous solution by nano γ-alumina
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Author keywords
Alizarin red; Alizarin yellow; Nano alumina; Principle component analysis (PCA); Taguchi design
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Indexed keywords
ALIZARIN RED;
ALIZARIN YELLOW;
FOURIER TRANSFORM INFRA REDS;
KINETIC INVESTIGATIONS;
MULTIRESPONSE OPTIMIZATION;
PRINCIPLE COMPONENT ANALYSIS;
PSEUDO-SECOND ORDER MODEL;
TAGUCHI DESIGN;
ALIZARIN;
ALUMINA;
BINARY MIXTURES;
DESIGN;
OPTIMIZATION;
STRIPPING (DYES);
TAGUCHI METHODS;
PRINCIPAL COMPONENT ANALYSIS;
ALIZARIN;
ALIZARINE YELLOW G;
ALUMINUM OXIDE;
ANTHRAQUINONE DERIVATIVE;
AZO COMPOUND;
COLORING AGENT;
WATER POLLUTANT;
ADSORPTION;
CHEMICAL MODEL;
CHEMISTRY;
ISOLATION AND PURIFICATION;
KINETICS;
PRINCIPAL COMPONENT ANALYSIS;
PROCEDURES;
SIGNAL NOISE RATIO;
THERMODYNAMICS;
WATER MANAGEMENT;
WATER POLLUTANT;
ADSORPTION;
ALUMINUM OXIDE;
ANTHRAQUINONES;
AZO COMPOUNDS;
COLORING AGENTS;
KINETICS;
MODELS, CHEMICAL;
PRINCIPAL COMPONENT ANALYSIS;
SIGNAL-TO-NOISE RATIO;
THERMODYNAMICS;
WATER POLLUTANTS, CHEMICAL;
WATER PURIFICATION;
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EID: 84896755844
PISSN: 13861425
EISSN: None
Source Type: Journal
DOI: 10.1016/j.saa.2014.01.100 Document Type: Article |
Times cited : (55)
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References (50)
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