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Published on: April 9, 2016
Investigation of colloidal biogenic sulfur flocculation: Optimization using response surface analysis.
Fan Chen1, Ye Yuan1, Chuan Chen1
1State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China.
Biogenic elemental sulfur (S(0)) flocculation using polyaluminum chloride (PAC) effectively addresses wastewater treatment separation issues. This method achieved a 97.53% sulfur flocculation rate under optimized conditions.
Area of Science:
- Environmental Science
- Chemical Engineering
- Water Treatment
Background:
- Biogenic elemental sulfur (S(0)) presents significant solid-liquid separation challenges in wastewater treatment, including poor settling and membrane fouling.
- Effective separation of S(0) is crucial for efficient wastewater management and potential resource recovery.
Purpose of the Study:
- To compare the flocculation efficiencies of polyaluminum chloride (PAC), polyacrylamide (PAM), and microbial flocculant (MBF) for biogenic S(0).
- To optimize S(0) flocculation using response surface methodology (RSM), evaluating the impact of flocculant dose, pH, and stirring intensity.
- To determine the feasibility of PAC for S(0) recovery in sulfate-laden wastewater treatment.
Main Methods:
- Flocculation experiments were conducted using PAC, PAM, and MBF to treat S(0) in wastewater.
- Response surface methodology (RSM) was employed to optimize flocculation parameters: flocculant dose, pH, and stirring intensity.
- Treatment efficiency was assessed by S(0) flocculation rate and supernatant turbidity removal.
Main Results:
- The flocculation efficiency order was determined as PAC > MBF > PAM.
- Optimal S(0) flocculation was achieved at pH 4.73, 129 r/min stirring speed, and 2.42 mg PAC/mg S flocculant dose.
- Under optimal conditions, the S(0) flocculation rate reached 97.53%.
Conclusions:
- Polyaluminum chloride (PAC) is a highly effective flocculant for biogenic elemental sulfur (S(0)) separation.
- Response surface methodology (RSM) provides an efficient approach for optimizing S(0) flocculation processes.
- The study provides essential parameters for sulfur recovery during sulfate-rich wastewater treatment.
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