AIMC Topic: Anaerobiosis

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Anaerobic Digestion as a Core Technology in Addressing the Global Sanitation Crisis: Challenges and Opportunities.

Environmental science & technology Nov 13, 2023
Successfully addressing the complex global sanitation problem is a massive undertaking. Anaerobic digestion (AD), coupled with post-treatment, has been identified as a promising technology to contribute to meeting this goal. It offers multiple benefi...
Artificial Intelligence Technology Sanitation Water Supply Water Anaerobiosis
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Optimization of biogas production from straw wastes by different pretreatments: Progress, challenges, and prospects.

The Science of the total environment Sep 17, 2023
Lignocellulosic biomass (LCB) presents a promising feedstock for carbon management due to enormous potential for achieving carbon neutrality and delivering substantial environmental and economic benefit. Bioenergy derived from LCB accounts for about ...
Bioreactors Biofuels Biomass Carbon Anaerobiosis Artificial Intelligence Methane
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Enhancing corn stalk-based anaerobic digestion with different types of zero-valent iron added during the acidification stage: Performance and mechanism.

Journal of environmental sciences (China) Aug 5, 2023
Anaerobic digestion has been defined as a competitive approach to facilitate the recycling of corn stalks. However, few studies have focused on the role of direct interspecies electron transfer (DIET) pathway in the acidification stage under the addi...
Methane Fatty Acids, Volatile Bioreactors Anaerobiosis Iron Zea mays
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Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects.

Bioresource technology Dec 17, 2022
Anaerobic co-digestion (AcoD) offers several merits such as better digestibility and process stability while enhancing methane yield due to synergistic effects. Operation of an efficient AcoD system, however, requires full comprehension of important ...
Anaerobiosis Methane Artificial Intelligence Biofuels Bioreactors Digestion
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Exploration of deep learning models for real-time monitoring of state and performance of anaerobic digestion with online sensors.

Bioresource technology Sep 7, 2022
The immediate response to the state disturbances of anaerobic digestion is essential to prevent anaerobic digestion failure. However, frequent monitoring of the state and performance of anaerobic digestion is challenging. Thus, deep learning models w...
Neural Networks, Computer Deep Learning Anaerobiosis
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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...
Bioreactors Membranes, Artificial Wastewater Deep Learning Waste Disposal, Fluid Anaerobiosis
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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...
Food Refuse Disposal Biofuels Methane Deep Learning Sewage Bioreactors Anaerobiosis Digestion
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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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Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data.

Water research Apr 22, 2021
Modeling of anaerobic digestion (AD) is crucial to better understand the process dynamics and to improve the digester performance. This is an essential yet difficult task due to the complex and unknown interactions within the system. The application ...
Methane Genomics Anaerobiosis Machine Learning Algorithms
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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 Batch Cell Culture Techniques Fermentation Machine Learning Bioreactors Metabolic Flux Analysis Ethanol Saccharomyces cerevisiae Anaerobiosis
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