Optimization of Congo red dye biosorption by Serratia marcescens MM06 biomass using response surface methodology

Dye-contaminated wastewater poses a significant environmental challenge, particularly in areas with limited remediation infrastructure. While biological methods continue to evolve, adsorption is emerging as an effective and widely accepted treatment option. Although activated carbon remains the most effective adsorbent, its high cost has sparked renewed interest in low-cost alternatives. In countries such as Malaysia, inadequate treatment systems exacerbate the problem, emphasising the need for cost-effective, environmentally friendly solutions. Bacterial biosorbents provide a sustainable solution. In this work, the Plackett-Burman design was utilised to test six important variables that influence Congo red dye biosorption by bacterial biomass. Twelve trials were conducted with parameters set at high (+1) and low (-1) values. Analysis of Variance (ANOVA) revealed statistically significant factors (p < 0.05), which were then optimised with a 3-level complete factorial design. The highest dye removal rate during this phase was 85.08% (run 12). Subsequently, thirteen experiments based on the full factorial design yielded a maximum adsorption capacity of 91.75%. The regression model demonstrated a strong fit to the data ((Coefficient of Determination (R2) = 0.9935, Adjusted R2 (R2-adj) = 0.9889, F-test for model significance (F) = 214.89, adequacy precision = 36.685)), and no significant difference was found between predicted and experimental values (p > 0.05), confirming the model's reliability.

Text 125540.pdf - Published Version Download (977kB) Official URL or Download Paper: https://ctj-isuct.ru/article/view/7080

Actions (login required)

View Item