Designing of SiO2 immobilized Co-based from ZIF-67 for high-performance supercapacitors DOI
Mohammad Bigdeloo, Ali Ehsani, Esrafil Asgari

et al.

Inorganic Chemistry Communications, Journal Year: 2024, Volume and Issue: unknown, P. 113321 - 113321

Published: Oct. 1, 2024

Language: Английский

Preparation of visible-light active MOFs-Perovskites (ZIF-67/LaFeO3) nanocatalysts for exceptional CO2 conversion, organic pollutants and antibiotics degradation DOI Creative Commons
Aftab Khan, Samreen Sadiq, Iltaf Khan

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e27378 - e27378

Published: March 1, 2024

Modern industries rapid expansion has heightened energy needs and accelerated fossil fuel depletion, contributing to global warming. Additionally, organic pollutants present substantial risks aquatic ecosystems due their stability, insolubility, non-biodegradability. Scientists are currently researching high-performance materials address these issues. LaFeO3 nanosheets (LFO-NS) were synthesized in this study using a solvothermal method with polyvinylpyrrolidone (PVP) as soft template. The LFO-NS demonstrate superior performance, large surface area charge separation than that of nanoparticles (LFO-NP). performance is further upgraded by incorporating ZIF-67. Our results confirmed the ZIF-67/LFO-NS nanocomposite have performances pure LFO-NP integration ZIF-67 enhanced promote LFO-NSwhich was various characterization techniques including TEM, HRTEM, DRS, EDX, XRD, FS, XPS, FT-IR, BET, PL, RAMAN. 5ZIF-67/LFO-NS sample showed significant activities for CO2 conversion, malachite green degradation, antibiotics (cefazolin, oxacillin, vancomycin) degradation. Furthermore, stability tests our optimal very active stable. based on scavenger experiments photocatalytic degradation pathways, it been established H+ •O2− vital decomposition MG antibiotics. research work will open new gateways prepare MOFs-Perovskites nanocatalysts exceptional

Language: Английский

Citations

26

Enhancement of the catalytic performance of Co-ZIF/WO3 heterostructures for selective catalytic reduction of NOx DOI Creative Commons
Hassan Alamgholiloo, Esrafil Asgari, Amir Sheikhmohammadi

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 8, 2024

Abstract Nitrogen oxides (NOx) are one of the growing air pollutants in industrial countries, and their emissions regulated by stringent legislation. Therefore, design catalyst comprised metal ZIFs a potential solution for improving selective catalytic reduction (SCR) NOx. Here, an efficient strategy was described to fabricate Co-ZIF/WO 3 heterostructures SCR First, WO nanostructures were fabricated solvothermal method, subsequently epitaxial growth ZIF-67 on oxide surface create new type semiconductor heterostructures. The obtained systemically characterized wide-angle XRD, FESEM, UV DRS, FT-IR, AFM, TEM spectroscopies. shift temperature corresponding maximum conversion around 50 °C towards lower temperatures. is substantially enhanced from 55% at 400 78% 350 °C. activity attributed better interaction synergic effect incorporated into also electron transfer facility between Co species Moreover, results distinct production carbon monoxide (CO) product gas stream. current study highlights some challenges development semiconductor-based decrease pollution.

Language: Английский

Citations

16

Reasonable decoration of CuO/Cd0.5Zn0.5S nanoparticles onto flower-like Bi5O7I as boosted step-scheme photocatalyst for reinforced photodecomposition of bisphenol A and Cr(VI) reduction in wastewater DOI
Zaid H. Jabbar, Bassim H. Graimed,

Hayder hamzah Najm

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 348, P. 119302 - 119302

Published: Oct. 21, 2023

Language: Английский

Citations

35

The significantly boosted photodegradation of tetracycline over a novel hierarchical 0D/3D S-scheme heterojunction ZnSnO3/CdIn2S4 DOI

Wenqian Sun,

Fangyan Chen,

Ping Huang

et al.

Journal of environmental chemical engineering, Journal Year: 2023, Volume and Issue: 11(6), P. 111293 - 111293

Published: Oct. 24, 2023

Language: Английский

Citations

34

Green synthesis of stable CuFe2O4/CuO-rGO heterostructure photocatalyst using basil seeds as chemo-reactors for improved oxytetracycline degradation DOI

Effat Samiee Paghaleh,

Kheibar Dashtian, Jaber Yousefi Seyf

et al.

Journal of environmental chemical engineering, Journal Year: 2023, Volume and Issue: 11(5), P. 110676 - 110676

Published: July 29, 2023

Language: Английский

Citations

33

Monodispersed ZIF-67 in situ nucleated on CoAl-LDH nanosheets for efficient carbamazepine degradation via activation of peroxymonosulfate DOI
Jiali Zhang,

Jian Wei,

Zhuang Guo

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 448, P. 141546 - 141546

Published: March 6, 2024

Language: Английский

Citations

15

Comparison of modeling, optimization, and prediction of important parameters in the adsorption of cefixime onto sol-gel derived carbon aerogel and modified with nickel using ANN, RSM, GA, and SOLVER methods DOI
Saeed Hosseinpoor, Amir Sheikhmohammadi, Hassan Rasoulzadeh

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 353, P. 141547 - 141547

Published: March 4, 2024

Language: Английский

Citations

14

Cefixime removal via WO3/Co-ZIF nanocomposite using machine learning methods DOI Creative Commons
Amir Sheikhmohammadi, Hassan Alamgholiloo, Mohammad Golaki

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 15, 2024

Abstract In this research, an upgraded and environmentally friendly process involving WO 3 /Co-ZIF nanocomposite was used for the removal of Cefixime from aqueous solutions. Intelligent decision-making employed using various models including Support Vector Regression (SVR), Genetic Algorithm (GA), Artificial Neural Network (ANN), Simulation Optimization Language Visualized Excel Results (SOLVER), Response Surface Methodology (RSM). SVR, ANN, RSM were modeling predicting results, while GA SOLVER to achieve optimal conditions degradation. The primary goal applying different best with high accuracy in Based on R analysis, quadratic factorial model selected as model, regression coefficients obtained it evaluate performance artificial intelligence models. According interactions between pH time, catalyst amount, well reaction time amount identified most significant factors results. a comparison based Mean Absolute Error (MAE), Root Square (RMSE), Coefficient Determination (R 2 Score) indices, SVR prediction higher Score (0.98), lower MAE (1.54) RMSE (3.91) compared ANN model. Both important parameter Algorithm, initial concentration had greatest impact selecting values. Using models, optimum values Cefixime, pH, determined be (6.14 mg L −1 , 3.13, 117.65 min, 0.19 g ) (5 3, 120 ), respectively. Given presented research can contribute significantly advancements intelligent optimization pollutant processes environment.

Language: Английский

Citations

14

New advancement of advanced oxidation processes for the treatment of Petroleum wastewater DOI Creative Commons

Ali Imran Merchant,

Amir Hossein Vakili, Ayhan Kocaman

et al.

Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 319, P. 100565 - 100565

Published: June 24, 2024

This review delves into the significant potential of Advanced Oxidation Processes (AOPs) for tackling intricate issues found in treating petroleum wastewater. It particularly focuses on utilization processes like Fenton reactions, Ozonation-based AOPs, and photocatalytic techniques, highlighting their role producing powerful reactive oxygen species capable breaking down organic contaminants. The also discusses recent advancements merging Electro-Fenton photocatalysis to enhance pollutant removal efficiency. Furthermore, it investigates how these methods are being applied specifically petrochemical wastewater management, including innovative approaches Fenton, Photo- Electro-Fenton, Photo-catalytic oxidation, persulfate activation based AOPs. Operational cost treatment time, energy requirements, pH adjustment, complexity reactor setup, efficiencies treated effluent quality, by-products some challenges critically examined. article aims highlight identify emerging challenges, proposing a shift towards more sustainable effective strategies future.

Language: Английский

Citations

11

Weakly hydrophobic microenvironment-assisted membrane-based confined catalysis for efficient organoarsenic contamination removal DOI
Jiangdong Dai, Lili Li,

Qihan Fang

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 495, P. 153355 - 153355

Published: June 20, 2024

Language: Английский

Citations

10