ABSTRACT
In this work, Taguchi L32 experimental design was applied to optimize biosorption of Cu(2+) ions by an easily available biosorbent, Spaghnum moss. With this aim, batch biosorption tests were performed to achieve targeted experimental design with five factors (concentration, pH, biosorbent dosage, temperature and agitation time) at two different levels. Optimal experimental conditions were determined by calculated signal-to-noise ratios. "Higher is better" approach was followed to calculate signal-to-noise ratios as it was aimed to obtain high metal removal efficiencies. The impact ratios of factors were determined by the model. Within the study, Cu(2+) biosorption efficiencies were also predicted by using Taguchi method. Results of the model showed that experimental and predicted values were close to each other demonstrating the success of Taguchi approach. Furthermore, thermodynamic, isotherm and kinetic studies were performed to explain the biosorption mechanism. Calculated thermodynamic parameters were in good accordance with the results of Taguchi model.
Subject(s)
Copper/chemistry , Sphagnopsida/chemistry , Water Pollutants, Chemical/chemistry , Adsorption , Kinetics , Models, Theoretical , Temperature , ThermodynamicsABSTRACT
In this study, Taguchi L8 experimental design was applied to determine cytotoxic effects of Reactive Blue 33, which is the most toxic azo reactive dye species, on Allium cepa. With this aim, A. cepa test system was performed to achieve targeted experimental design with three factors (concentration of dye, pH and volume) in two different levels. Toxic conditions were determined considering calculated signal-to-noise ratios. "Smaller is better" approach was followed to calculate signal-to-noise ratios as it was aimed to obtain lower root lengths. In the work, toxic effects of azo dye were also predicted by using the Taguchi method. Taguchi model showed that experimental and predicted values were closer to each other demonstrating the success of Taguchi approach.
