Application of Response Surface Methodology for Optimization of the Biosorption Process from Copper-Containing Wastewater

Molecules. 2023 Jan 3;28(1):444. doi: 10.3390/molecules28010444.

Abstract

Copper-containing wastewater is a significant problem in the water industry. In this work, biosorption of copper ions on alginate beads have been considered as a promising solution. The effective diffusion coefficient De is the parameter describing the diffusion of copper ions in calcium alginate granules. Granules with a wide spectrum of alginate content from several to several dozen percent (0.6-20%) were tested. The granules with an alginate content of 20% were produced by a new method. The conductometric method was used to determine De. The study determined the De values depending on the process parameters (temperature and pH of copper solutions) and the alginate content in the granules. The RSM method was used to analyze the obtained results. The conducted research proved that all analyzed factors significantly affect the value of the diffusion coefficient (R2 = 0.98). The optimum operating conditions for biosorption of copper ions from CuCl2 salt, on alginate beads obtained by RSM were as follows: 0.57% of alginate content in the granules, temperature of 60.2 °C, and pH of 2. The maximum value of De was found to be 2.42·10-9 m2/s.

Keywords: biosorption; copper; response surface methodology (RSM); wastewater.

MeSH terms

  • Adsorption
  • Alginates / chemistry
  • Copper* / chemistry
  • Hydrogen-Ion Concentration
  • Ions
  • Kinetics
  • Wastewater
  • Water Pollutants, Chemical*

Substances

  • Copper
  • Wastewater
  • Alginates
  • Ions
  • Water Pollutants, Chemical

Grants and funding

This research received no external funding.