Dynamic microbiome disassembly and evolution induced by antimicrobial methylisothiazolinone in sludge anaerobic fermentation for volatile fatty acids generation

Water Research, Год журнала: 2024, Номер 251, С. 121139 - 121139

Опубликована: Янв. 15, 2024

Язык: Английский

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Applications of machine learning tools for biological treatment of organic wastes: Perspectives and challenges

Circular Economy, Год журнала: 2024, Номер 3(2), С. 100088 - 100088

Опубликована: Май 31, 2024

Biological treatment technologies (such as anaerobic digestion, composting, and insect farming) have been extensively employed to handle various degradable organic wastes. However, the inherent complexity instability of biological processes adversely affect production renewable energy nutrient-rich products. To ensure stable consistent product quality, researchers invested heavily in control strategies for treatment, with machine learning (ML) recently proving effective optimizing predicting parameters, detecting disturbances, enabling real-time monitoring. This review critically assesses application ML providing an in-depth evaluation key algorithms. study reveals that artificial neural networks, tree-based models, support vector machines, genetic algorithms are leading treatment. A thorough investigation applications farming underscores its remarkable capacity predict products, optimize processes, perform monitoring, mitigate pollution emissions. Furthermore, this outlines challenges prospects encountered applying highlighting crucial directions future research area.

Язык: Английский

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Understanding Anaerobic Co-digestion of Organic Wastes through Meta-Analysis

ACS ES&T Engineering, Год журнала: 2024, Номер 4(5), С. 1177 - 1192

Опубликована: Март 21, 2024

Anaerobic co-digestion (AcoD) is becoming increasingly popular in the biogas industry for its numerous advantages over mono-digestion, including balanced nutrient profiles, enhanced process stability, synergistic methane production, and reduced greenhouse gas emissions. However, varying results across AcoD studies highlight need an extensive meta-analysis of a large data set to better understand these synergies. Here, we compared yields from 432 sets, based on ratio means, mono-digestion. The relative index (RSI) revealed effects lignocellulosic biomass with animal manures, particularly pig (RSI = 1.91) chicken manures 1.71). Due rapid biodegradability, food waste also demonstrated both 1.28) 1.41). After regrouping by high-carbon co-substrates, interpretable machine learning models identified temperature, which accelerates hydrolysis emulsification fats, oils, grease, as key factor influencing yield. Furthermore, experimental validation using sewage sludge confirmed superiority multivariable linear regression predicting specific yield other terms simplicity efficiency.

Язык: Английский

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Applying machine learning to anaerobic fermentation of waste sludge using two targeted modeling strategies

The Science of The Total Environment, Год журнала: 2024, Номер 916, С. 170232 - 170232

Опубликована: Янв. 24, 2024

Язык: Английский

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Selective enrichment of gram-staining bacteria by antimicrobial pressure enhances volatile fatty acids production from waste activated sludge

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 163307 - 163307

Опубликована: Май 1, 2025

Язык: Английский

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The important role of high sludge concentration in anaerobic biological systems with low COD/SO42- sulfate-containing wastewater predicted by machine learning: Insights from microbial community and metabolic pathways

Chemical Engineering Journal, Год журнала: 2024, Номер 496, С. 154320 - 154320

Опубликована: Июль 27, 2024

Язык: Английский

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Machine learning-aided inverse design for biogas upgrading through biological CO2 conversion

Bioresource Technology, Год журнала: 2024, Номер 399, С. 130549 - 130549

Опубликована: Март 9, 2024

Язык: Английский

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Integrating automated machine learning and metabolic reprogramming for the identification of microplastic in soil: A case study on soybean

Journal of Hazardous Materials, Год журнала: 2024, Номер 478, С. 135555 - 135555

Опубликована: Авг. 23, 2024

Язык: Английский

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Machine learning for enhancing prediction of biogas production and building a VFA/ALK soft sensor in full-scale dry anaerobic digestion of kitchen food waste

Journal of Environmental Management, Год журнала: 2024, Номер 371, С. 123190 - 123190

Опубликована: Ноя. 5, 2024

Язык: Английский

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Interpretable causal machine learning optimization tool for improving efficiency of internal carbon source-biological denitrification

Bioresource Technology, Год журнала: 2024, Номер 416, С. 131787 - 131787

Опубликована: Ноя. 8, 2024

Язык: Английский

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