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Updated: Jul 6, 2026

A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities
Published on: December 25, 2015
Modeling and optimization of process parameters of biofilm reactor for wastewater treatment
A K Maurya1, B S Reddy2, J Theerthagiri3
1Advanced Metals Division, Titanium Department, Korea Institute of Materials Science, Changwon 51508, South Korea; Virtual Materials Lab, School of Materials Science and Engineering, Engineering Research Institute, Gyeongsang National University, Jinju 52828, South Korea.
Abstract:
The efficiency of heavy metal in biofilm reactors depends on absorption process parameters, and those relationships are complicated. This study explores artificial neural networks (ANNs) feasibility to correlate the biofilm reactor process parameters with absorption efficiency. The heavy metal removal and turbidity were modeled as a function of five process parameters, namely pH, temperature(°C), feed flux(ml/min), substrate flow(ml/min), and hydraulic retention time(h). We developed a standalone ANN software for predicting and analyzing the absorption process in handling industrial wastewater. The model was tested extensively to confirm that the predictions are reasonable in the context of the absorption kinetics principles. The model predictions showed that the temperature and pH values are the most influential parameters affecting absorption efficiency and turbidity.
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