Statistical Modeling of Copper Adsorption on Van Pumice

Abstract

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. R2 values of the models ranged from
70% to 99%. In addition, cubic model had higher R2 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.