Photocatalytic Degradation of Pesticides and Neonicotinoids DOI

Yesbinder Kaur,

Shivesh Sharma, Ganga Ram Chaudhary

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Materials, nanomaterials, nanocomposites, and methods used for the treatment and removal of hazardous pollutants from wastewater: Treatment technologies for water recycling and sustainability DOI
Tawfik A. Saleh

Nano-Structures & Nano-Objects, Год журнала: 2024, Номер 39, С. 101231 - 101231

Опубликована: Июнь 17, 2024

Язык: Английский

Процитировано

25
Synergistically modified Ti2C MXene with Poly Glycidyl methacrylate and poly(3,4-ethylene dioxythiophene): poly(styrene sulfonate) conducting polymers for enhanced photocatalytic degradation of ionic and cationic dyes. DOI

Umuhoza Claudine,

Pengfei Zhang, Saleem Raza

и другие.

Colloids and Surfaces A Physicochemical and Engineering Aspects, Год журнала: 2025, Номер 713, С. 136497 - 136497

Опубликована: Фев. 24, 2025

Язык: Английский

Процитировано

1
Synthesis and Characterization of Zinc Oxide Nanoparticle Anchored Carbon as Hybrid Adsorbent Materials for Effective Heavy Metals Uptake from Wastewater DOI Creative Commons

Abdullah G. Alanazi,

Mohamed A. Habila, Zeid A. ALOthman

и другие.

Crystals, Год журнала: 2024, Номер 14(5), С. 447 - 447

Опубликована: Май 8, 2024

Hybrid material-derived adsorbents have shown a great applicable efficiency in various fields, including industrial uses and environmental remediation. Herein, zinc oxide nanoparticle modified with carbon (ZnO-C) was fabricated utilized for wastewater treatment through the adsorption of Zn(II), Cd(II), Co(II), Mn(II). The surface structural characteristics were examined using TEM, SEM, XRD, FTIR spectroscopy, EDS, BET area. Kinetics equilibrium investigations applied to optimize adsorptive removal Mn(II) onto ZnO-C. results indicated that formation ZnO-C crystalline sphere-like granules nano-size between 16 68 nm together matrix. In addition, spherical gathered form clusters. spectroscopy rich OH groups ZnO. capacity 215, 213, 206, 231 mg/g Mn(II), respectively, at optimal conditions pH 5 6, contact time 180 min, an adsorbent dose 0.1 g/L. data modeling uptake showed agreement assumption pseudo-second-order kinetic model Freundlich isotherm, suggesting fast rate multilayered mechanism. achieved prepared more effective compared ZnO, carbon, Fe3O4, Fe3O4-C. Real samples applied, valley water, wastewater, rain evaluated Fe3O4-C efficiency.

Язык: Английский

Процитировано

4
Graphene quantum dots—Nascent adsorbent nanomaterials for water treatment DOI
Ayesha Kausar, Ishaq Ahmad

Environmental Nanotechnology Monitoring & Management, Год журнала: 2024, Номер 21, С. 100943 - 100943

Опубликована: Март 25, 2024

Язык: Английский

Процитировано

3
Heavy metals removal from wastewater using nanoporous adsorbent: Separation analysis via machine learning model DOI Creative Commons
Abdulrhman Fahmi Alali

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 59, С. 104501 - 104501

Опубликована: Май 8, 2024

This paper presents a comprehensive analysis of three predictive models, namely Multi-Layer Perceptron (MLP), LASSO, and Extreme Gradient Boosting (XGB) for estimating concentration (C) substance in given dataset. Adsorption separation was considered water treatment, the models were employed tracking variations solute process. With x(m) y(m) as input variables which are location, measured mol/m³ output, dataset comprises more than 19,000 data points. The Fireworks Algorithm (FWA) to perform hyper-parameter optimization models. Different metrics utilized gauge proficiency each model, such R2 (coefficient determination) both training testing datasets, RMSE, MAE. Results indicate that MLP model obtained highest score terms R2, with values 0.99751 0.99756 data, suggesting excellent accuracy. also demonstrated lowest error rates, an RMSE 1.3937E+00 MAE 8.81875E-01. results revealed machine learning well capable predicting adsorption process when combined mass transfer modeling great accuracy can be obtained.

Язык: Английский

Процитировано

3
Nanomaterial fabrication from industrial solid waste: a sustainable approach for resource recovery DOI
Prasann Kumar

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 303 - 321

Опубликована: Дек. 4, 2024

Язык: Английский

Процитировано

3
Photoluminescence, Raman scattering and photocatalytic properties of Pd doped ZnO nanostructures synthesized via wet chemical route DOI

H. M. W. Safdar,

Ejaz Muhammad,

Azmat Ullah

и другие.

Chemical Papers, Год журнала: 2025, Номер unknown

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0
Recent progress in nanomaterials for water treatment: A comprehensive review of adsorption, photocatalytic, and antibacterial applications DOI
Othmane Zakir, Aziz Ait-karra,

Said Khardazi

и другие.

Journal of Water Process Engineering, Год журнала: 2025, Номер 72, С. 107566 - 107566

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Fabrication and inkjet printing of manganese oxide electrodes for energy storage DOI Creative Commons
Anesu Nyabadza, A.H. Titus, Éanna McCarthy

и другие.

Chemical Engineering Journal Advances, Год журнала: 2025, Номер unknown, С. 100761 - 100761

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Revolutionizing Water Purification Through Nanotechnology DOI
Prashant Chaudhari, Vishal Vaman Mehtre, Harshada Mhetre

и другие.

Nanotechnology in the life sciences, Год журнала: 2025, Номер unknown, С. 245 - 263

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0