Tannic Acid Modulation of Substrate Utilization, Microbial Community, and Metabolic Traits in Sludge Anaerobic Fermentation for Volatile Fatty Acid Promotion

Environmental Science & Technology, Год журнала: 2024, Номер 58(22), С. 9792 - 9803

Опубликована: Май 23, 2024

Anaerobic fermentation is a crucial route to realize effective waste activated sludge (WAS) resource recovery and utilization, while the overall efficiency commonly restrained by undesirable disruptors (i.e., chemical dewatering agents). This work unveiled unexpectedly positive effects of biodewatering tannic acid (TA) on volatile fatty acids (VFAs) biosynthesis during WAS anaerobic fermentation. The total VFAs yield was remarkably increased 15.6 folds with enriched acetate butyrate in TA-occurred systems. TA capable disintegrate extracellular polymeric substances promote organics release. However, further modulated soluble proteins structure hydrogen bonding hydrophobic interactions, resulting decrease bioavailability consequential alteration metabolic substrate feature. These changes reshaped microbial community stimulated adaptive regulatory systems hydrolytic–acidogenic bacteria. keystone species for carbohydrate metabolism Solobacterium Erysipelotrichaceae) were preferentially enriched. Also, typical quorum sensing enhancing transport) two-component sustaining high activity) networks connectivity ecological cooperative behaviors response stress. Additionally, functions responsible hydrolysis, transmembrane transport, intracellular as well VFA showed relative abundance, which maintained activities biosynthesis. study underscored advantages treatment context deciphered interactive mechanisms.

Язык: Английский

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Enhanced short-chain fatty acids production from food waste with magnetic biochar via anaerobic fermentation: Linking interfacial, extracellular, and intracellular electron transfer

Chemical Engineering Journal, Год журнала: 2024, Номер 488, С. 150853 - 150853

Опубликована: Март 30, 2024

Язык: Английский

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Pulsed electric field technology as a promising pre-treatment for enhancing orange agro-industrial waste biorefinery

RSC Advances, Год журнала: 2024, Номер 14(3), С. 2116 - 2133

Опубликована: Янв. 1, 2024

Pulsed electric field (PEF) technology improves energy efficiency in biorefineries.

Язык: Английский

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Volatile fatty acid (VFA) production from sludge and chicken manure co-fermentation: Role of acid/alkali-treatment and microbial characteristics

Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(2), С. 112215 - 112215

Опубликована: Фев. 15, 2024

Язык: Английский

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Performance and mechanism of a novel hydrolytic bacteria pretreatment to boost waste activated sludge disintegration and volatile fatty acids production during acidogenic fermentation

Journal of Environmental Management, Год журнала: 2025, Номер 376, С. 124399 - 124399

Опубликована: Фев. 5, 2025

Язык: Английский

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Enhanced degradation of methanethiol via operational pH regulation in biofilm reactor: Insight of sulfur metabolism pathways and microbial adaptation mechanism

Chemical Engineering Journal, Год журнала: 2024, Номер 495, С. 153414 - 153414

Опубликована: Июнь 22, 2024

Язык: Английский

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Caproic acid production from food waste using indigenous microbiota: Performance and mechanisms

Bioresource Technology, Год журнала: 2023, Номер 387, С. 129687 - 129687

Опубликована: Авг. 17, 2023

Язык: Английский

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Simultaneous recovery of short-chain fatty acids and diverse carbon sources using magnetic cationic surfactant-functionalized materials integrated with membrane contactor in dark syngas fermentation

Chemical Engineering Journal, Год журнала: 2024, Номер 495, С. 153717 - 153717

Опубликована: Июль 3, 2024

Язык: Английский

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Using Machine Learning and GPT Models To Enhance Electrochemical Pretreatment of Anaerobic Cofermentation: Prediction, Early Warning, and Biomarker Identification

ACS ES&T Engineering, Год журнала: 2025, Номер unknown

Опубликована: Янв. 30, 2025

Electrochemical enhancing anaerobic cofermentation of waste activated sludge and food to produce volatile fatty acids (VFAs) represents an innovative promising approach. Despite its potential, optimizing system performance, providing early warnings, identifying biomarkers remain challenging tasks due the intricate interplay numerous environmental variables unclear dynamics microbial interactions. This study first employed machine learning (ML) models including XGBoost, random forest (RF), support vector regression (SVR), CatBoost forecast VFA production by integrating initial feedstock properties, electrochemical pretreatment conditions, fermentation parameters. demonstrated highest R2 0.977 lowest root-mean-square error (RMSE) at 95.69 mg COD/L. Key factors, days (VFA reaching 90% day 5), salinity (0.5–1.0 g/L), carbon-to-nitrogen (C/N) ratio (16.53–22), were identified as optimal for production. To enhance long-term monitoring facilitate warning systems, process indicators (pH, ORP, PNs, SCOD, PSs) from last used predict on following fine-tuning generative pretrain transformer (GPT), with gpt-3.5-turbo-0125 model exhibiting 0.837 ± 0.004 RMSE 296.98 3.65 Local sensitivity analysis revealed that SCOD was most important factor affecting Moreover, this ML uncover genus levels, Prevotella_7, Veillonella, Megasphaera, Lactobacillus, thereby elucidating nexus among communities, offered a novel modeling workflow cofermentation, enabling optimization mechanism exploration assistance large language models.

Язык: Английский

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Specialized genera and niche partitioning promote the biosynthesis of short-chain fatty acids in anaerobic cofermentation of sewage sludge and protein-rich waste

Environmental Research, Год журнала: 2025, Номер unknown, С. 121034 - 121034

Опубликована: Фев. 1, 2025

Язык: Английский

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