Journal of the Taiwan Institute of Chemical Engineers, Год журнала: 2024, Номер unknown, С. 105815 - 105815
Опубликована: Ноя. 1, 2024
Язык: Английский
Journal of the Taiwan Institute of Chemical Engineers, Год журнала: 2024, Номер unknown, С. 105815 - 105815
Опубликована: Ноя. 1, 2024
Язык: Английский
Biochar, Год журнала: 2024, Номер 6(1)
Опубликована: Март 14, 2024
Abstract The swift advancement of sustainable energy technologies, coupled with the urgent need to address environmental challenges, has generated considerable interest in multifaceted applications biochar materials promote energy, water, and sustainability. This comprehensive review examines recent advancements production functionalized materials, emphasizing their pivotal roles conversion storage, wastewater treatment, CO 2 reduction, soil amelioration, promotion carbon neutrality within a circular economy framework. functionalization involves surface chemistry porosity modifications, achieved through techniques like templating, chemical activation, metal impregnation, or heteroatom doping. These modifications substantially enhance catalytic activity, storage capacity, cycling stability making them particularly effective diverse such as water splitting, fuel cells, supercapacitors. Additionally, demonstrate remarkable efficacy catalysts adsorbents proficiently removing pollutants heavy metals, organic contaminants, nutrients, thereby facilitating resource recovery from wastewater. also underscores potential capture conversion, exploring innovative strategies augment adsorption capacity state-of-the-art processes for transforming captured into valuable fuels chemicals. In summary, this offers insights research, underscoring its substantial commercial versatile material contributing cleaner more future. Article Highlights current status research is comprehensively reviewed. fields critically examined. Technology readiness levels (TRLs) various biochar-based technologies are evaluated. Graphical
Язык: Английский
Процитировано
54Journal of the Taiwan Institute of Chemical Engineers, Год журнала: 2024, Номер 166, С. 105565 - 105565
Опубликована: Май 25, 2024
Язык: Английский
Процитировано
14Journal of Molecular Structure, Год журнала: 2024, Номер unknown, С. 140090 - 140090
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
13Chemosphere, Год журнала: 2024, Номер 353, С. 141538 - 141538
Опубликована: Фев. 28, 2024
In this work, the bioremediation of wastewater from textile industry with indigo dye content was carried out using combined bioaugmentation, bioventilation, and biostimulation techniques. Initially, inoculum prepared by isolating microorganisms in a 2 L bioreactor. Then, respirometry technique implemented to determine affinity substrate measuring CO2 allowed formulation an empirical mathematical model for growth kinetics microorganism. Finally, 3 bioreactor obtaining removal efficiency 20.7 ± 1.2%, 24.0 1.5%, 29.7 1.1% equivalent wavelengths 436 nm, 525 620 nm. The chemical oxygen demand showed average reduction 88.9 2.5%, going 470.7 15.6 52.3 10.7 ppm after 30 days under constant agitation aeration. A negative generalized exponential fitted assess microorganism as evaluating production during bioremediation. Bioremediation techniques improve water discharge parameters compared treatments industry, reducing use substances that can generate secondary pollution. Bioaugmentation, biostimulation, bioventing study demonstrate potential these serve efficient alternative indigo-contaminated industry.
Язык: Английский
Процитировано
12Carbon Research, Год журнала: 2025, Номер 4(1)
Опубликована: Янв. 22, 2025
Abstract Congo red, a widely utilized dye in the textile industry, presents significant threat to living organisms due its carcinogenic properties and non-biodegradable nature. This study proposes data-driven machine-learning approach optimize biochar characteristics environmental conditions maximize adsorption capacity of for removal red dye. Therefore, six machine learning models were trained tested on dataset containing eleven input parameters (related conditions) capacity. The evaluated using performance metrics such as R-squared ( R 2 ), Mean Squared Error (MSE), Root (RMSE). With highest (0.9785) lowest RMSE (0.1357), Random Forest Regression (RF) outperformed other models. DT XGB also performed well, achieving slightly lower values 0.9741 0.9577, respectively. LR model worst, with (0.4575) (0.6821). Moreover, reliability these was validated 10-fold cross-validation method. RF once again best an value 0.9762. Feature analysis revealed that initial concentration relative dosage C 0 specific surface area BET pore volume PV ) are most factors affecting biochar, while carbon content oxygen nitrogen molar ratio [ (O + N)/C ], diameter D had minimal impact. research demonstrates can accurately predict biochar’s contaminant capacity, enhancing wastewater treatment promoting efficient, cost-effective management. Graphical
Язык: Английский
Процитировано
1Desalination and Water Treatment, Год журнала: 2024, Номер 318, С. 100313 - 100313
Опубликована: Апрель 1, 2024
The complex process for treating industrial wastewater frequently necessitates the employment of efficient treatment techniques to eliminate harmful contaminants before discharge, such as congo red (CR) dye. In this study, adsorption methods were utilized CR by employing hydrogel bead composites derived from sodium alginate (SA) and cetyltrimethylammonium bromide (CTAB). Various concentrations CTAB, including 0.1 wt.%, 1 3 denoted SC1, SC2, SC3 respectively, examined. results demonstrated that has higher swelling percentage lowest carboxyl group (COOH). Experiments carried out under different pH levels, concentrations, durations removal CR. maximum capabilities obtained 141.08 mg/g, 144.50 mg/g 153.24 SC2 SC3, respectively. Freundlich pseudo-second-order models demonstrate best fit both isotherm kinetic analysis across all samples, suggesting a multilayer chemisorption mechanism. Reusability studies revealed strong performance, underscoring beads' potent capability
Язык: Английский
Процитировано
8Journal of the Taiwan Institute of Chemical Engineers, Год журнала: 2024, Номер unknown, С. 105417 - 105417
Опубликована: Фев. 1, 2024
Язык: Английский
Процитировано
4Journal of the Taiwan Institute of Chemical Engineers, Год журнала: 2024, Номер unknown, С. 105635 - 105635
Опубликована: Июнь 1, 2024
Язык: Английский
Процитировано
4Environmental Science and Pollution Research, Год журнала: 2024, Номер unknown
Опубликована: Сен. 25, 2024
Язык: Английский
Процитировано
4ACS ES&T Water, Год журнала: 2025, Номер unknown
Опубликована: Май 15, 2025
Язык: Английский
Процитировано
0