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A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities

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Optimization pilot scale study on ammonia nitrogen removal by bio filter.

Junlong Meng¹, Songtao Shen², Chuanhui Zhou¹

¹Southwest University of Science and Technology, Mianyang, 621010, China.

Scientific Reports

|September 20, 2023

Summary

Optimizing biofilter conditions for ammonia nitrogen (AN) removal is crucial. The study found optimal parameters including a C/N ratio of 18.95, pH 7.78, and hydraulic load of 1.04 d⁻¹, achieving over 91% AN removal.

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Area of Science:

Environmental Engineering
Water Treatment Technologies
Biotechnology

Background:

Ammonia nitrogen (AN) is a common pollutant in wastewater.
Biofilters (BF) are effective for AN removal, but require optimized conditions.
Understanding the impact of operational parameters is key to efficient AN degradation.

Purpose of the Study:

To determine the optimal operational parameters for ammonia nitrogen (AN) removal using biofilters (BF).
To investigate the effects of carbon-to-nitrogen ratio (C/N), pH, and hydraulic load (HL) on AN degradation efficiency.
To develop a predictive model for AN removal rates under varying conditions.

Main Methods:

Response Surface Methodology (RSM) with Central Composite Design (CCD) was employed.
Second-order polynomial models were fitted to experimental data for AN removal rates.
Statistical analysis (ANOVA) was used to validate model accuracy and significance.

Main Results:

The model accurately predicted AN removal rates, with ANOVA confirming its reliability.
Optimal conditions for AN removal were identified as: C/N ratio of 18.95, pH of 7.78, and HL of 1.04 d⁻¹.
A maximum AN removal rate of 91.90% was predicted, with experimental verification reaching 91.37%.

Conclusions:

The study successfully optimized key parameters for AN removal in biofilters.
The established model provides a valuable tool for predicting and enhancing BF performance.
These findings offer practical guidance for industrial wastewater treatment processes focused on AN reduction.