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Updated: Jul 3, 2026

A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities

A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities

Published on: December 25, 2015

A simple model describing nitrate and nitrite reduction in fluidized bed biological reactors.

B J Brosilow¹, M Schnitzer, S Tarre

¹Department of Chemical Engineering, and Technion Israel Institute of Technology, Haifa 32000, Israel. brosilow@tx.technion.ac.il

Biotechnology and Bioengineering

|June 20, 1997

Summary

A simple model accurately describes nitrate and nitrite levels in denitrification bioreactors. This model performs comparably to complex alternatives, offering a more straightforward approach for analyzing fluidized bed biological reactors.

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Measurement of the Potential Rates of Dissimilatory Nitrate Reduction to Ammonium Based on 14NH4+/15NH4+ Analyses via Sequential Conversion to N2O

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Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors

Estimating Sediment Denitrification Rates Using Cores and N₂O Microsensors

Published on: December 6, 2018

Area of Science:

Environmental Engineering
Biotechnology
Chemical Engineering

Background:

Denitrification bioreactors are crucial for removing nitrate and nitrite from wastewater.
Accurate modeling of concentration profiles is essential for optimizing reactor performance.
Existing models can be complex and computationally intensive.

Purpose of the Study:

To develop a simple model for predicting nitrate (NO3-) and nitrite (NO2-) concentration profiles in denitrification fluidized bed biological reactors.
To compare the performance of the simple model against experimental data and a more complex existing model.

Main Methods:

Development of a simplified mathematical model.
Comparison of model predictions with experimental data.
Validation against a complex, literature-based model.

Main Results:

The simple model effectively describes the NO3- and NO2- concentration profiles.
The simple model's accuracy is comparable to that of a more complex model.
The developed model offers a simpler alternative for reactor analysis.

Conclusions:

A simple model provides a viable and effective method for understanding denitrification bioreactor behavior.
The findings suggest that simpler models can achieve similar predictive power to complex ones.
This work contributes to the optimization of wastewater treatment processes.