Optimization of culture medium to improve bio-cementation effect based on response surface method.

Area of Science:

• Civil Engineering
• Material Science
• Biotechnology

Background:

• Microbial-induced calcite precipitation (MICP) is challenged by low efficiency in large-scale applications.
• Promoting microbial biofilm growth is a key strategy to enhance MICP efficiency.

Purpose of the Study:

• To develop a prediction model for optimizing nutrient concentrations in MICP culture media.
• To evaluate the effectiveness of the optimized medium in promoting biofilm growth and bio-cementation.

Main Methods:

• Response surface methodology was employed to create a prediction model for nutrient optimization.
• Bio-cementation tests were conducted to compare the optimized medium with other media.
• Nutrient concentrations were optimized, yielding specific values for yeast extract, polypeptone, ammonium sulfate, and NaCl.

Main Results:

• The prediction model accurately estimated optimal nutrient concentrations, with predicted results closely matching measured values.
• The optimized medium significantly promoted biofilm growth compared to other tested media.
• Bio-cementation tests showed that the optimized medium resulted in the highest sand column strength and calcium carbonate content.

Conclusions:

• The developed prediction model is accurate and effective for optimizing MICP culture media.
• Optimized media composition significantly enhances biofilm formation and bio-cementation performance.
• This approach offers a platform technology for developing multifunctional structural materials in civil and material engineering.