AIMC Topic: Bioreactors

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Modeling biosurfactant production from agroindustrial residues by neural networks and polynomial models adjusted by particle swarm optimization.

Environmental science and pollution research international Aug 23, 2022
Biosurfactants are molecules with wide application in several industrial processes. Their production is damaged due to inefficient bioprocessing and expensive substrates. The latest developments of strategies to improve and economize the biosurfactan...
Neural Networks, Computer Bioreactors Surface-Active Agents Artificial Intelligence Models, Statistical
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Machine Learning Predicts Biogeochemistry from Microbial Community Structure in a Complex Model System.

Microbiology spectrum Feb 9, 2022
Microbial community structure is influenced by the environment and in turn exerts control on many environmental parameters. We applied this concept in a bioreactor study to test whether microbial community structure contains information sufficient to...
Trees Microbiota Forests Machine Learning RNA, Ribosomal, 16S Bioreactors Models, Biological
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Application of deep learning for predicting the treatment performance of real municipal wastewater based on one-year operation of two anaerobic membrane bioreactors.

The Science of the total environment Nov 24, 2021
In this study, data-driven deep learning methods were applied in order to model and predict the treatment of real municipal wastewater using anaerobic membrane bioreactors (AnMBRs). Based on the one-year operating data of two AnMBRs, six parameters r...
Deep Learning Waste Disposal, Fluid Wastewater Membranes, Artificial Anaerobiosis Bioreactors
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Integrating mechanistic and deep learning models for accurately predicting the enrichment of polyhydroxyalkanoates accumulating bacteria in mixed microbial cultures.

Bioresource technology Nov 3, 2021
The enrichment of polyhydroxyalkanoates (PHA) accumulating bacteria (PAB) in mixed microbial cultures (MMC) is extremely difficult to be predicted and optimized. Here we demonstrate that mechanistic and deep learning models can be integrated innovati...
Deep Learning Sewage Bacteria Polyhydroxyalkanoates Bioreactors
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Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models.

Water research Sep 24, 2021
Interest in anaerobic co-digestion (AcoD) has increased significantly in recent decades owing to enhanced biogas productivity due to the utilization of different organic wastes, such as food waste and sewage sludge. In this study, a robust AcoD model...
Refuse Disposal Sewage Digestion Biofuels Food Methane Bioreactors Deep Learning Anaerobiosis
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Artificial intelligence modeling to predict transmembrane pressure in anaerobic membrane bioreactor-sequencing batch reactor during biohydrogen production.

Journal of environmental management May 11, 2021
The complex nature of wastewater treatment has led to search for alternative strategies such as different artificial intelligence (AI) techniques to model the various operational parameters. The present work is aimed at predicting the transmembrane p...
Neural Networks, Computer Anaerobiosis Bioreactors Artificial Intelligence Fuzzy Logic
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Robotic integration enables autonomous operation of laboratory scale stirred tank bioreactors with model-driven process analysis.

Biotechnology and bioengineering May 3, 2021
Given its geometric similarity to large-scale production plants and the excellent possibilities for precise process control and monitoring, the classic stirred tank bioreactor (STR) still represents the gold standard for bioprocess development at a l...
Bioreactors Models, Biological Automation, Laboratory Laboratories Robotics Corynebacterium glutamicum
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A Machine Vision Approach for Bioreactor Foam Sensing.

SLAS technology Apr 19, 2021
Machine vision is a powerful technology that has become increasingly popular and accurate during the last decade due to rapid advances in the field of machine learning. The majority of machine vision applications are currently found in consumer elect...
Bioreactors Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning
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Machine learning applied for metabolic flux-based control of micro-aerated fermentations in bioreactors.

Biotechnology and bioengineering Mar 17, 2021
Various bio-based processes depend on controlled micro-aerobic conditions to achieve a satisfactory product yield. However, the limiting oxygen concentration varies according to the micro-organism employed, while for industrial applications, there is...
Oxygen Bioreactors Ethanol Batch Cell Culture Techniques Machine Learning Anaerobiosis Fermentation Metabolic Flux Analysis Saccharomyces cerevisiae
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An osmotic membrane bioreactor-clarifier system with a deep learning model for simultaneous reduction of salt accumulation and membrane fouling.

Chemosphere Feb 6, 2021
This study investigates a novel hybrid configuration of an osmotic membrane bioreactor-clarifier (OMBRC) to achieve the simultaneous reduction of salt accumulation and membrane fouling. Compared with the conventional OMBR, the OMBRC demonstrated 14 t...
Bioreactors Water Purification Artificial Intelligence Membranes, Artificial Deep Learning Wastewater Osmosis
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