Browsing by Author "Riza Kul, A."

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Removal of Tar-Chrome Red-B Dye by Adsorption Onto Natural Diatomite
(Journal of Chemical and Pharmaceutical Research, 2011) Koyuncu, M.; Riza Kul, A.
In this study; the textile industry from using chromium dyes was removed from wastewater by low- cost diatomite in batch. In batch system, same particle size of diatomite (230-mesh size and surface area 49.0408 m2/g) and kept at pH5.10 and five different amounts of sorbent were used. The effect of the temperature on adsorption was evaluated with using three different temperatures. As result of the experiment, 81.072% of the chrom dyes was removed from the wastewater in conditions of using 230 mesh sieve, at 30°C temperature for 8h in batch system but chrom dyes was removal for different min in batch system,61.992%, 61.502%, 63.926%, 61.174% and 61.895% (15min, 30min, 60min, 180min and 300) respectively. Also, the equilibrium adsorption isotherms have been analyzed by Langmuir and Freundlich models. The adsorption values were fitted langmuir and Freundlich adsorption models. Langmuir adsorption capacity were found to be 25.04, 20.08 and 14.68mg/g at 25, 30 and 35 °C respectively. In addition, the filtrates were subjected to a comprehensive colorimetric appraisal using the CIE L* a* b* colour space system.
Removal of Thymol Blue From Aqueous Solution by Natural and Modified Bentonite: Comparative Analysis of Ann and Anfis Models for the Prediction of Removal Percentage
(University of Tehran, 2021) Koyuncu, H.; Aldemir, A.; Riza Kul, A.; Canayaz, M.
In this study natural bentonite (NB) and acid-thermal co-modified bentonite (MB) were utilized as adsorbents for the removal of Thymol Blue (TB) from aqueous solution. The batch adsorption experiments were conducted under different experimental conditions. The artificial neural network (ANN) and adaptive neuro fuzzy inference systems (ANFIS) were applied to estimate removal percentage (%) of TB. Mean squared error (MSE), root mean square error (RMSE) and coefficient of determination (R2) values were used to evaluate the results. In addition, the experimental data were fitted isotherm models (Langmuir, Freundlich and Temkin) and kinetic models (pseudo first order (PFO), pseudo second order (PSO) and intra-particle diffusion (IPD)). The adsorption of TB on both the NB and MB followed well the PSO kinetic model, and was best suited Langmuir isotherm model. When the temperature was increased from 298 K to 323 K for 20 mg/L of TB initial concentration, the removal percentage of TB onto the NB and MB increased from 74.91% to 84.07% and 81.19% to 93.12%, respectively. This results were confirmed by the positive ΔH° values indicated that the removal process was endothermic for both the NB and MB. The maximum adsorption capacity was found as 48.7805 mg/g and 117.6471 mg/g for the NB and MB, respectively (at 323 K). As a result, with high surface area and adsorption capacity, the MB is a great candidate for TB dye removal from wastewater, and the ANFIS model is better than the ANN model at estimating the removal percentage of the dye. © 2021 University of Tehran.