AIMC Topic: Bioreactors

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Insight mechanism of ANN model for denitrification in spouted bed bioreactor.

Scientific reports Jul 14, 2025
Numerous technologies have been developed to remove nitrate from wastewater due to its significant health and environmental impacts. In the present study, an isolate of Pseudomonas syringae was utilized to investigate the denitrification rate using i...
Water Purification Bioreactors Neural Networks, Computer Wastewater Pseudomonas syringae Denitrification Nitrates
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Machine learning-based optimization of biogas and methane yields in UASB reactors for treating domestic wastewater.

Biodegradation Jun 26, 2025
This study aimed to optimize biogas and methane production from Up-flow anaerobic sludge blanket reactors for treating domestic wastewater using advanced machine learning models-namely, eXtreme Gradient Boosting (XGBoost) and its hybridized form, XGB...
Methane Bioreactors Biofuels Biological Oxygen Demand Analysis Sewage Waste Disposal, Fluid Anaerobiosis Machine Learning Wastewater
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Optimization of nitrogen removal through an intelligent automated operational strategy based on real-time process simulation in an A2O membrane bioreactor.

Journal of environmental management Jun 17, 2025
In this study, an intelligent automated operational strategy (IAOS) was developed and evaluated to enhance nitrogen removal efficiency in an anaerobic-anoxic-oxic (A2O) membrane bioreactor (MBR). To effectively respond to fluctuations in inflow load,...
Algorithms Waste Disposal, Fluid Sewage Bioreactors Nitrogen
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Enabling malic acid production from corn-stover hydrolysate in Lipomyces starkeyi via metabolic engineering and bioprocess optimization.

Microbial cell factories May 21, 2025
BACKGROUND: Lipomyces starkeyi is an oleaginous yeast with a native metabolism well-suited for production of lipids and biofuels from complex lignocellulosic and waste feedstocks. Recent advances in genetic engineering tools have facilitated the deve...
Zea mays Bioreactors Fermentation Aspergillus oryzae Hydrolysis Pyruvate Carboxylase Lipomyces Malate Dehydrogenase Metabolic Engineering Malates
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Modeling and Optimization of Recombinant Tocilizumab Production From Pichia pastoris Using Response Surface Methodology and Artificial Neural Network.

Biotechnology and bioengineering May 15, 2025
This study has demonstrated the optimization of the defined medium that significantly enhanced the production of recombinant monoclonal antibody (mAb) Tocilizumab (TCZ) as full-length and Fab fragment from Pichia pastoris. Out of the four tested defi...
Pichia Saccharomycetales Recombinant Proteins Antibodies, Monoclonal, Humanized Carbon Culture Media Neural Networks, Computer Bioreactors
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An integrated review on the role of different biocatalysts, process parameters, bioreactor technologies and data-driven predictive models for upgrading biogas.

Journal of environmental management May 5, 2025
As energy consumption and waste generation from human activities continue to rise, the technology of anaerobic digestion (AD), which converts waste into bioenergy, has gained popularity. Biogas produced from AD commonly contains 60 % CH, 40 % CO and ...
Anaerobiosis Bioreactors Biofuels Methane
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Predicting anaerobic digestion stability in load-flexible operation using gas phase indicators and classification algorithms.

Bioresource technology Apr 8, 2025
This study investigates early warning indicators for process instabilities in anaerobic digestion caused by shock-loadings in biogas plants, focussing on gas-phase parameters to avoid substrate analyses. With the increasing use of renewable energy so...
Algorithms Anaerobiosis Biofuels Gases Methane Classification Algorithms Bioreactors
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Machine learning algorithms for predicting membrane bioreactors performance: A review.

Journal of environmental management Mar 17, 2025
Membrane bioreactors (MBR) are recognized as a sustainable technology for treating polluted effluents. Machine learning (ML) algorithms have emerged as a modeling option to predict pollutant removal and operational variables such as membrane fouling,...
Waste Disposal, Fluid Wastewater Membranes, Artificial Neural Networks, Computer Bioreactors Algorithms Machine Learning
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Enhanced nitrogen prediction and mechanistic process analysis in high-salinity wastewater treatment using interpretable machine learning approach.

Bioresource technology Mar 11, 2025
This study introduces an interpretable machine learning framework to predict nitrogen removal in membrane bioreactor (MBR) treating high-salinity wastewater. By integrating Shapley additive explanations (SHAP) with Categorical Boosting (CatBoost), we...
Bioreactors Nitrogen Water Purification Carbon Machine Learning Salinity Wastewater Hydrogen-Ion Concentration Biological Oxygen Demand Analysis
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Development of artificial neural network model for anaerobic digestion-elutriated phase treatment.

Journal of environmental management Mar 5, 2025
Nonlinear autoregressive exogenous (NARX) neural network models were used to forecast the time-series profiles of anaerobic digestion-elutriated phase treatment (ADEPT). Experimental data from the operation of the pilot plant and lab-scale reactor we...
Neural Networks, Computer Bioreactors Waste Disposal, Fluid Biofuels Anaerobiosis Methane
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