Evaluating the stability and performance of a novel core-shell ZVI@C-montmorillonite particle for anaerobic treatment of chloramphenicol wastewater

Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 460, P. 132389 - 132389

Published: Sept. 1, 2023

Language: Английский

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Research on Electro-enhanced wastewater biological treatment from 2000 to 2023: A review and bibliometric analysis

Chemical Engineering and Processing - Process Intensification, Journal Year: 2025, Volume and Issue: unknown, P. 110182 - 110182

Published: Jan. 1, 2025

Language: Английский

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Anaerobic treatment of refractory industrial organic wastewater: A review of bioenergy recovery and low-carbon nitrogen removal toward carbon neutrality

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 72, P. 107515 - 107515

Published: March 23, 2025

Language: Английский

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Up-concentration of organic matter from municipal wastewater by coagulation coupled with active coke adsorption to improve carbon capture and anaerobic methanogenesis efficiency

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159853 - 159853

Published: Jan. 1, 2025

Language: Английский

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Assessing the long-term impact of incorporating GAC and Fe&G mediators for enhancing phenol containing simulated wastewater treatment in UASB reactor

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 494, P. 138459 - 138459

Published: May 2, 2025

Language: Английский

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Nitrogen amendment enhances the biological methanogenic potential of bituminous coal

Fuel, Journal Year: 2023, Volume and Issue: 351, P. 128932 - 128932

Published: June 10, 2023

Language: Английский

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Blend of Cinnamaldehyde, Eugenol, and Capsicum Oleoresin Improved Rumen Health of Lambs Fed High-Concentrate Diet as Revealed by Fermentation Characteristics, Epithelial Gene Expression, and Bacterial Community

Animals, Journal Year: 2023, Volume and Issue: 13(10), P. 1663 - 1663

Published: May 17, 2023

We investigated the effects of CEC on fermentation characteristics, epithelial gene expression, and bacterial community in rumen lambs fed a high-concentrate diet. Twenty-four 3-month-old female crossbred with an initial body weight 30.37 ± 0.57 kg were randomly allocated to consume diet supplemented 80 mg/kg (CEC) or not (CON). The experiment consisted 14 d adaptation period 60 data collection period. Compared CON group, group had higher ADG, cell thickness, ruminal butyrate proportion, lower ammonia nitrogen concentration. Increases mRNA expression Occludin Claudin-4, as well decreases apoptotic protease activating factor-1 (Apaf-1), cytochrome c (Cyt-C), Caspase-8, Caspase-9, Caspase-3, Caspase-7, toll-like receptor 4 (TLR4), observed group. Moreover, treatment also decreased concentration IL-1β, IL-12, TNF-α. Supplementation altered structure composition community, which was indicated by increased relative abundances Firmicutes, Synergistota, Rikenellaceae_RC9_gut_group, Olsenella, Schwartzia, Erysipelotrichaceae_UCG-002, Lachnospiraceae_NK3A20_group, Acetitomaculum, [Eubacterium]_ruminantium_group, Prevotellaceae_UCG-004, Christensenellaceae_R-7_group, Sphaerochaeta, Pyramidobacter, [Eubacterium]_eligens_group, Acidobacteriota, Chloroflexi, Gemmatimonadota, MND1. Furthermore, Spearman correlation analysis revealed that bacteria closely correlated health-related indices. Dietary supplementation improved growth performance, reduced inflammation apoptosis, protected barrier function, modulated

Language: Английский

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Enhanced degradation of phenolic compounds in coal gasification wastewater by activated carbon-Fe3O4 nanoparticles coupled with anaerobic co-metabolism

Biochemical Engineering Journal, Journal Year: 2022, Volume and Issue: 189, P. 108717 - 108717

Published: Nov. 11, 2022

Language: Английский

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Machine Learning Accelerating the Condition Screening of Ceftriaxone Sodium Anaerobic Co-Metabolic Degradation

ACS ES&T Engineering, Journal Year: 2024, Volume and Issue: 4(4), P. 947 - 955

Published: March 19, 2024

Anaerobic co-metabolism is a biotechnological process that improves biodegradation efficiency of refractory organics. By adding cosubstrates, it provides additional carbon sources and energy for the microbial metabolic degradation organic matter. However, large number repeated experiments are required to screen out suitable conditions. It typically lengthy carries significant uncertainty. In this study, machine learning (ML) was used drive screening anaerobic conditions ceftriaxone sodium (CTX) in wastewater treatment. The results showed XGBoost algorithm able effectively predict decomposition with an accuracy up 95%. A Shapley additive explanation (SHAP) analysis temperature, pH, CTX/glucose ratio had greatest impacts on removal CTX, thus highlighting remarkable ability ML accelerate optimal high-throughput proved dominant genera structures presented under two environmental largest difference (temperature, ratio) were significantly different bacterial such as Fastidiosipila, norank_f_Prolixibacteraceae, norank_f_Bacteroidetes_vadinHA17, Georgenia affected hydrolysis acidification process. This work stands by integrating advanced techniques into engineering, thereby enhancing providing richer analytical insights compared traditional methods.

Language: Английский

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A comparative study on UASB MF-OMBR and AnMF-OMBR treating slaughterhouse wastewater: Process performance, struvite precipitation, and economic evaluation

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 497, P. 154884 - 154884

Published: Aug. 23, 2024

Language: Английский

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