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Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
Published on: October 1, 2013
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Shear-driven stirring optimization modulates microbial synergy for robust structural-metabolic performance in
Chenyu Wang1, Bin Ji1, Anjie Li2
1Department of Water and Wastewater Engineering, School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China.
Bioresource Technology
|July 9, 2025
Summary
Optimal stirring speed (210 rpm) enhances microalgal-bacterial granular sludge (MBGS) performance by improving granule structure and microbial metabolism for treating simple organics.
Area of Science:
- Environmental Microbiology
- Biotechnology
- Wastewater Treatment
Background:
- Microalgal-bacterial granular sludge (MBGS) is a promising technology for wastewater treatment.
- Optimizing operational parameters is crucial for enhancing MBGS efficiency and stability.
- Stirring speed is a key factor influencing the physical and biological properties of granular sludge.
Purpose of the Study:
- To systematically investigate the impact of stirring speed on MBGS performance.
- To identify the optimal stirring speed for treating simple organics.
- To elucidate the structural and metabolic adaptations induced by stirring.
Main Methods:
- MBGS were operated at various stirring speeds (0–250 rpm).
- Granule morphology, homogeneity, and stability were analyzed.
- Microbial community structure and functional gene abundance were assessed using molecular techniques.
Main Results:
- An optimal stirring speed of 210 rpm was identified, significantly improving granule morphology, homogeneity, and stability.
- This speed promoted an optimal microalgae-bacteria ratio and increased the abundance of specific bacterial taxa (Pseudomonadota).
- Key functional genes involved in contaminant metabolism were upregulated at 210 rpm.
Conclusions:
- Stirring shear force is a critical factor for maintaining MBGS granule size and stability.
- Optimized stirring speed can induce synergistic structural and metabolic adaptations for efficient organic contaminant removal.
- This study provides strategic insights for the real-world application of MBGS technology.
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