AIMC Topic: Bioreactors

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Global stability of a continuous bioreactor model under persistent variation of the dilution rate.

Mathematical biosciences and engineering : MBE Dec 6, 2022
In this work, the global stability of a continuous bioreactor model is studied, with the concentrations of biomass and substrate as state variables, a general non-monotonic function of substrate concentration for the specific growth rate, and constan...
Neural Networks, Computer Time Factors Bioreactors Computer Simulation Biomass
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CPV of the Future: AI-Powered Continued Process Verification for Bioreactor Processes.

PDA journal of pharmaceutical science and technology Sep 19, 2022
According to the standard guidelines by the FDA, process validation in biopharma manufacturing encompasses a life cycle consisting of three stages: process design (PD), process qualification (PQ), and continued process verification (CPV). The validit...
Pichia Batch Cell Culture Techniques Artificial Intelligence Recombinant Proteins Bioreactors
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Continuous biomanufacturing with microbes - upstream progresses and challenges.

Current opinion in biotechnology Sep 8, 2022
Current biomanufacturing facilities are mainly built for batch or fed-batch operations, which are subject to low productivities and do not achieve the great bioconversion potential of the rewired cells generated via modern biotechnology. Continuous b...
Biotechnology Artificial Intelligence Fermentation Bioreactors Commerce
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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 Forests RNA, Ribosomal, 16S Bioreactors Models, Biological Microbiota Machine Learning
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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...
Wastewater Membranes, Artificial Anaerobiosis Deep Learning Bioreactors Waste Disposal, Fluid
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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...
Polyhydroxyalkanoates Sewage Deep Learning Bacteria 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...
Biofuels Food Refuse Disposal Sewage Digestion Bioreactors Anaerobiosis Deep Learning Methane
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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...
Anaerobiosis Artificial Intelligence Neural Networks, Computer Bioreactors 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...
Models, Biological Automation, Laboratory Laboratories Robotics Corynebacterium glutamicum Bioreactors
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