Abstract
A two-level factorial experimental design method has been proposed to investigate the influence of the operating parameters in a packed-bed adsorption column. This technique has been applied to quantify the influence of bed-depth, influent flow rate, and influent metal concentration on break-through time during the removal of copper from aqueous solutions using spent animal bones. A factorial model has been built-up and used to study all interactions among the considered parameters. It was found that while the effect of influent flow rate, as a main effect, was relatively insignificant, the effects of bed-depth and influent metal concentration were found to be significant at a 95% confidence interval. All other interactions between the studied parameters were significant. Desorption of copper from the bones-packed column was carried out using various concentrations of H2SO4. A solution of 50-mM was found to be suitable for this process. It has also been demonstrated that the efficiency of the bones-packed column did not change significantly after four sorption/desorption cycles.
| Original language | British English |
|---|---|
| Pages (from-to) | 221-227 |
| Number of pages | 7 |
| Journal | Advances in Environmental Research |
| Volume | 6 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2002 |
Keywords
- Animal bones
- Copper
- Desorption
- Factorial design
- Interaction
- Main effect
- Packed-bed
- Sorption
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