Bisphenol A removal by the Chlorophyta Picocystis sp.: optimization and kinetic study

Abstract

The Chlorophyta Picocystis sp. isolated from a Tunisian household sewage pond appears promising for effective removal of Bisphenol A (BPA). Efficient and cost-effective technology for contaminants remediation relies on a tradeoff between several parameters such as removal efficiency, micro-organism growth, and its tolerance to contaminant toxicity. This article demonstrates the optimum conditions achieving the highest removal rates and the minimal growth inhibition in batch cul-tures of Picocystis using response surface methodology. A central composite face-centered (CCF) design was used to determine the effects on removal and growth inhibition of four operating parameters: temperature, inoculum cell density, light intensity, and initial BPA concentration. Results showed that the maximal BPA removal was 91.36%, reached the optimal culture conditions of 30.7 C, 25 Â 10 5 cells ml À1 inoculum density, 80.6 mmol photons m À2 s À1 light intensity, and initial BPA concentration of 10 mg l À1 . Various substrate inhibition models were used to fit the experimental data, and robustness analysis highlighted the Tessier model as more efficient to account for the interaction between Picocystis and BPA and predict removal efficiency. These results revealed how Picocystis respond to BPA contamination and suggest that optimization of experimental conditions can be effectively used to maximize BPA removal in the treat-ment process.

Design of Experiments to Achieve an Efficient Chitosan-Based DNA Vaccine Delivery System

“…After defining the DoE inputs, a three-level CCF design was applied to achieve the optimal nanoparticle formulation. This particular design is adequate for the present work because it does not consider points outside of the ranges established for the inputs [ 31 ]. Considering the results attained in preliminary studies, unsatisfactory results were expected using inputs outside the ranges, such as particle aggregation.…”

“…Table 2 presents multiple regression equations and the surface response model chosen for each output of each chitosan polymer. These equations are provided by the Design Expert analysis and indicate the level of the outputs as a function of different inputs, where the signal behind each factor represents a positive or a negative effect in the outputs [ 31 ]. Factor A represents the chitosan concentration and factor B represents the TPP concentration.…”

“…Thus, the Central Composite Face (CCF) model is composed of a full or fractional factorial design and start points placed on the faces of the sides. This model is useful to perform optimizations and can predict high-quality results, since it only uses points within the predetermined range [ 31 ].…”

Bio-removal of bisphenol A by cyanobacterium Gloeocapsopsis crepidium

“…The results showed a maximum BPA removal of 91.36%, with optimal culture conditions achieved at an initial BPA concentration of 10 mg/l (Ben Ali et al, 2021).…”

Microplastic emerging pollutants – impact on microbiological diversity, diarrhea, antibiotic resistance, and bioremediation

“…Microorganisms are often used for biodegradation under extreme conditions and high anthropogenic pollution. 114 In addition, a consortium of microorganisms is used for the highest level of biodegradation. Microorganisms use aerobic, anoxic and anaerobic methods for the remediation of xenobiotics by either oxidation or reduction reactions.…”