Statistical Modeling of Copper Adsorption on Van Pumice


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Demir C. , Keskin S. , Kul A. R. , ALKAN S.

EURASIAN JOURNAL OF ANALYTICAL CHEMISTRY, cilt.12, ss.913-921, 2017 (ESCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 12 Konu: 6
  • Basım Tarihi: 2017
  • Doi Numarası: 10.12973/ejac.2017.00221a
  • Dergi Adı: EURASIAN JOURNAL OF ANALYTICAL CHEMISTRY
  • Sayfa Sayıları: ss.913-921

Özet

Copper (Cu) is an element which is essential for the living. In addition, copper is also one of the first metals used by humans and occurs naturally in nature. The aim of this study is to statistical modeling of copper adsorption on Van Pumice. Van Pumice was used for determination of copper Adsorption level. Modeling, depending on time, was performed to determine for copper adsorption level at fixed pH 5 for various concentration and temperatures in Van pumice. All adsorption measurements were performed with the Thermo Scientific brand ICE spectrometer model 300 Series. One-way analysis of variance was used for comparison to various temperature and concentration levels. Tukey's multiple comparison test was also performed to determine different groups. Logarithmic, quadratic, Qubic and logistic models as well as linear were used to determine adsorbed cooper amount at different temperature levels and heavy metal concentration. Differences between various time and temperatures levels were found statistically significant, however, there were no significant differences between time level. R-2 values of the models ranged from 70% to 99%. In addition, cubic model had higher R-2 values for each concentration and temperature levels. Copper concentration and amount of ions have been increased in the solution. In addition, Copper ions adsorption level increased with extending of contacting duration by Van Pumice In addition, adsorption also increased linearly with mixing duration and this increase was ready in the first minutes and then stabilized. The performance of all models to determine the amount of adsorption of copper has been significantly found. However, model the best performance has been shown with the cubic.