Optimization of a biosorption column performance.

Area of Science:

• Environmental Science
• Biotechnology
• Chemical Engineering

Background:

• Biosorption is a key process for removing heavy metals from wastewater.
• Sargassum fluitans shows potential as a biosorbent for copper and zinc.
• Understanding biosorption dynamics is crucial for effective wastewater treatment.

Purpose of the Study:

• To analyze copper and zinc biosorption dynamics by Sargassum fluitans under various column conditions.
• To simulate experimental breakthrough curves using a mathematical model.
• To optimize biosorption process parameters for enhanced productivity and sorption performance.

Main Methods:

• Column experiments with varying lengths, metal concentrations, affinities, and interstitial velocities.
• Mathematical modeling incorporating mass transfer and axial dispersion.
• Performance evaluation using service time and breakthrough curve area.

Main Results:

• Feed concentration, mass transfer, column length, and interstitial velocity significantly impact column performance.
• Sensitivity analysis identified key factors influencing biosorption efficiency.
• An optimal curve relating interstitial velocity and column length was determined, considering pressure drop.

Conclusions:

• The study provides insights into optimizing Sargassum fluitans biosorption for copper and zinc removal.
• Mathematical modeling aids in predicting and understanding biosorption column behavior.
• Balancing operating and design parameters is essential for efficient heavy metal remediation.