
Journal of Industrial and Engineering Chemistry, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 1, 2024
Language: Английский
Journal of Industrial and Engineering Chemistry, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 1, 2024
Language: Английский
Frontiers in Materials, Journal Year: 2024, Volume and Issue: 11
Published: July 15, 2024
The escalating accumulation of toxic wastes and biowastes constitutes a critical environmental crisis that demands immediate effective solutions. Traditional waste treatment methods, predominantly chemical physical, are increasingly viewed as unsustainable, burdened by high operational costs the risk generating secondary pollutants. Against this backdrop, bioremediation emerges crucial sustainable alternative, utilizing natural detoxifying capabilities microorganisms. This review article focuses on use fungal bacterial strategies in bioremediation, emphasizing their vital role degradation, stabilization, or detoxification We provide an in-depth analysis mechanisms which fungi bacteria break down various contaminants, presenting current snapshot field’s state knowledge. highlights recent innovative advancements improve effectiveness expand applicability technologies. Moreover, it discusses practical challenges scaling these solutions to meet global needs suggests directions for future research implementation. synthesis not only underscores significance microbial addressing pressing problems but also acts call action continued innovation management hazardous wastes.
Language: Английский
Citations
11Water Air & Soil Pollution, Journal Year: 2025, Volume and Issue: 236(2)
Published: Jan. 3, 2025
Language: Английский
Citations
0Journal of Power Sources, Journal Year: 2025, Volume and Issue: 630, P. 236143 - 236143
Published: Jan. 5, 2025
Language: Английский
Citations
0Energies, Journal Year: 2025, Volume and Issue: 18(3), P. 536 - 536
Published: Jan. 24, 2025
This review evaluates the feasibility of using microalgal culture for sustainable energy production, emphasizing microbial fuel cells (MFCs) and biophotovoltaics (BPVs). study’s uniqueness is rooted in its thorough examination recent developments (2014–present) strain selection, bioreactor design, electrode materials. Furthermore, this combines microalga cultivation with wastewater treatment, highlighting importance. Notably, it examines advanced methodologies, such as use genetic engineering to enhance traits, nanotechnology optimize efficacy, artificial intelligence (AI) bioelectrochemical systems. In addition, study identifies possible future research avenues by examining microalga–bacterium consortia cascaded biobattery Consequently, incorporation case studies illustrating biobatteries’ practical applications low-power devices treatment underscores technology’s promise. Similarly, significant problems enhancing farming methods, reconciling cost yield, integrating renewable sources grid, offering vital insights academics policymakers. Ultimately, emphasizes need economical waste stream utilization, scalable designs, thereby considerably advancing options.
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 71, P. 107211 - 107211
Published: Feb. 11, 2025
Language: Английский
Citations
0ACS ES&T Water, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 20, 2025
Language: Английский
Citations
0Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, Journal Year: 2025, Volume and Issue: 28(1), P. 479 - 486
Published: March 3, 2025
Wastewater management poses a global challenge. Integrating data-driven models has significantly enhanced treatment facilities' design and operational efficiency. In this study, an Artificial Neural Network (ANN) algorithm was adapted as time-series forecasting model to predict effluent TN (Total Nitrogen) TP Phosphorus) concentrations in real municipal wastewater plant (WWTP). For purpose, six independent were developed evaluated using Mean Absolute Percentage Error (MAPE, %) Root Square (RMSE) metrics. Based on these criteria, all demonstrated similar performance, with MAPE RMSE values for at approximately 12% 1.4, respectively, the test phase. The 30% forecasting, 0.25. Upon completing modeling studies, one integrated into user-friendly graphical user interface (GUI) tested actual data, allowing users obtain results single click.
Language: Английский
Citations
0Materials Science and Engineering B, Journal Year: 2025, Volume and Issue: 317, P. 118213 - 118213
Published: March 18, 2025
Language: Английский
Citations
0International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 142278 - 142278
Published: March 1, 2025
Industrial activities, pharmaceutical contaminants, excessive agricultural inputs, and improper waste disposal have contributed to the widespread pollution of soil water. Traditional remediation techniques, while effective, often generate secondary are economically unfeasible. In contrast, microbial bioremediation offers a sustainable cost-effective alternative by utilizing microorganisms their enzymatic systems degrade detoxify pollutants. This review investigates potential enzymes in strategies for removing heavy metals contaminants from polluted environments. It analyzes fundamental mechanisms which sequester these pollutants, emphasizing processes that facilitate breakdown. Furthermore, it explores key factors influencing efficiency, including diversity environmental conditions. Additionally, examines challenges associated with scaling global applications provides insights future research implementation.
Language: Английский
Citations
0