Published: Jan. 1, 2023
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Language: Английский
Published: Jan. 1, 2023
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Language: Английский
Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(22), P. 9792 - 9803
Published: May 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.
Language: Английский
Citations
29Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 488, P. 150853 - 150853
Published: March 30, 2024
Language: Английский
Citations
26RSC Advances, Journal Year: 2024, Volume and Issue: 14(3), P. 2116 - 2133
Published: Jan. 1, 2024
Pulsed electric field (PEF) technology improves energy efficiency in biorefineries.
Language: Английский
Citations
15Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(2), P. 112215 - 112215
Published: Feb. 15, 2024
Language: Английский
Citations
13Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124399 - 124399
Published: Feb. 5, 2025
Language: Английский
Citations
1Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 495, P. 153414 - 153414
Published: June 22, 2024
Language: Английский
Citations
6Bioresource Technology, Journal Year: 2023, Volume and Issue: 387, P. 129687 - 129687
Published: Aug. 17, 2023
Language: Английский
Citations
14Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 495, P. 153717 - 153717
Published: July 3, 2024
Language: Английский
Citations
4ACS ES&T Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 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.
Language: Английский
Citations
0Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121034 - 121034
Published: Feb. 1, 2025
Language: Английский
Citations
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