Experimental design for the optimization of copper biosorption from aqueous solution by Aspergillus terreus

Area of Science:

• Environmental Microbiology
• Bioremediation
• Chemical Engineering

Background:

• Copper contamination in water poses significant environmental and health risks.
• Biosorption offers a sustainable method for heavy metal removal from wastewater.
• Aspergillus terreus is a potential biosorbent for efficient metal ion sequestration.

Purpose of the Study:

• To investigate the effects of key parameters on copper biosorption by Aspergillus terreus.
• To optimize the biosorption process for maximum copper removal efficiency.
• To develop a predictive model for copper biosorption using experimental design.

Main Methods:

• A full 2(4) factorial experimental design with central points was employed.
• Studied factors included pH, biosorbent dose, stirring speed, and temperature.
• Response surface methodology was used for process optimization and model validation.

Main Results:

• pH and biomass dose were identified as the most significant factors influencing copper removal.
• Interactions between pH-biomass and stirring speed-pH were also significant.
• Optimal conditions predicted a maximum copper removal efficiency of 68.52%.

Conclusions:

• The developed model accurately predicted experimental copper biosorption data (R(Adj)(2)=0.9452).
• Optimal biosorption conditions were determined as pH 6, 0.175 g biomass, 50 min⁻¹ stirring speed, and 50°C.
• Aspergillus terreus shows promise for effective copper removal from aqueous solutions.